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474 Remote Databricks delta lake developers and experts available to hire:

Amine M., Databricks delta lake developer
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Amine M.

Vetted Databricks delta lake developer in France (UTC+2)

As the CTO of an AI startup, I harness my deep expertise in AI, software engineering, and data science to fuel innovation and drive transformative solutions. I’m passionate about tackling complex challenges, taking calculated risks, and constantly pushing the boundaries of what’s possible in technology. My entrepreneurial spirit drives me forward on a mission to build something truly extraordinary in the tech world, where cutting-edge ideas meet real-world impact.

Jakub D., Databricks delta lake developer
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Jakub D.

Vetted Databricks delta lake developer in Poland (UTC+1)

Lead Data Engineer with demonstrated experience, serving Silicon Valley start-up and corporation clients. Specialized in backend development, event, and batch processing, essential for scaling foundational systems and data pipelines. Expert in Python, SQL, and prominent data engineering technologies like Airflow, AWS, Databricks and Snowflake. Proven proficiency in data systems architecture, designing distributed systems, data modelling and ETL processes. Recognized for leadership in technical mentorship, enhancing team growth, and streamlining data pipeline construction. Fluent in English and Polish, with a strong educational background in computer science from Warsaw University of Technology, and a good grasp of basic accounting principles.

Felipe R., Databricks delta lake developer
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Felipe R.

Vetted Databricks delta lake developer in Brazil (UTC-3)

Senior Data Engineer with over 12 years of experience in designing and building data pipelines, data warehouses, and data lakehouses. Highly skilled in AWS, Snowflake, Azure, and other advanced technologies, supporting complex data projects and business initiatives. Exceptionally dedicated professional with keen interpersonal, communication, and organizational skills. Technologies: Python, PySpark, AWS (KInesis, Lambda, S3, others), DBT, Spark, Databricks, Airflow Fundamentals Certified, Snowflake, Docker, Azure Certified Data Engineer (Data Factory, Synapse, others), ETL, Salesforce, DBT, Snowpipe, SQL Server, Terraform, Pentaho, SQL Server, Postgresql.

Muddaser T., Databricks delta lake developer
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Muddaser T.

Vetted Databricks delta lake developer in Pakistan (UTC+5)

Hi I am Microsoft certified data engineer with 7 years of professional experience. My experience includes both architecture designing and development. I have experience in following Azure tech . Azure Datafactory Azure DataBricks Azure stream analytics Azure eventhubs Azure Datalake (gen2 gen1) Azure synapse analytics Azure SQL Azure functions Snowflake MPP dwh Snowflake store procedures Snowflake asynchronous tasks Snowflake copy from external stage Snowflake c# sdk C# Python Scala. Apache Airflow GCP cloud GCS Big query GCP composer I have implemented many enterprise solutions on Azure that includes data migration from on prem to cloud with Azure Datafactory, building Datalake on Azure Datalake, big data processing with DataBricks and Azure synapse analytics, snowflake as MPP DWH. Hopefully I will serve you in better way due to my relevant experience and knowledge. Waiting for your response. Regards, M Muddaser Talal

Marcel P., Databricks delta lake developer
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Marcel P.

Vetted Databricks delta lake developer in Brazil (UTC-3)

Please, visit my Linkedin for more details: [https://www.linkedin.com/in/marcel-pallete-81166b2b/](https://www.linkedin.com/in/marcel-pallete-81166b2b/) I'm an experienced Senior Data Consultant. I work for large banks and have worked for steel retailers, cargo transport companies and plastic industries, developing projects in Data engineering, integration, architecture, Business intelligence, Data analysis and Machine learning, in both Cloud and on-premisses Big Data environments, having worked in all parts of the process, from data ingestion to final delivery, including sizing, provisioning and management of cloud resources I have had the opportunity to work on BI projects in sales intelligence, operational efficiency, supply chain, controllership and finance, market monitoring, Web Analytics of digital banking products and Open Finance. I also worked on an Azure Cloud implementation project in a large bank, where I participated in the construction of its Big Data environment focused on Machine Learning and BI projects, having worked from absolute scratch. I am currently working on a data integration project between an on-premisses Big Data environment and Salesforce in a large bank, using Spark to process large volumes of data, in the range of billions of records daily. Before working in tech, I worked in various business areas, and it helps me to overcome challenges and deliver greater value faster every day.

Data LakeDatabricksDelta LakeAzure Data LakeDelta TablesData warehouseData EngineeringBig DataData VisualizationData modelingPerformance OptimizationData PipelinesETLAzurePythonSQLScalaMySQLGitMongoDBDatabasePostgreSQLSharePointNumPyGitHubAmazon S3Google AnalyticsPandasWeb ScrapingCloudQuery OptimizationSASIntegrationData MiningGitLabData analysisFabricAzure Queue StorageGoogle BigQueryDatabase NormalizationDockerPython 3TeradataPipelinesScrumLeadershipKanbanOLAPData MigrationTableauSQL QueriesDatabase TuningIBM DB2Data structureApache SparkMicrosoft SQL ServerAmazon RedshiftApache KafkaSQL TuningAzure SQLPower QueryLive StreamingHiveQLData processingPentahoStar SchemaData ManagementData analyticsQlik SenseJupyterTerraformApache HadoopAzure Machine LearningInfrastructure as CodeDAXAzure Service fabricUX/UI DesignData CleansingCloud ArchitecturePower BIData CleaningData IntegrationGoogle Data StudioAgileSQL DatabasesLookerSnowflakeAirflowData IngestionData architectureBig Data SQLPentaho Data IntegrationAlteryxData QualityApache AirflowData manipulationAzure SQL DatabaseDataflowData wranglingAzure table storageData ValidationBig Data EngineeringJupyterLabApache NiFiMicrosoft Power AppsAzure Blob StorageAzure Data FactoryData governanceBig data technologiesAzure SQL ServerSQL Performance TuningMicrosoft service fabricDBTMicrosoft Power AutomateData Warehouse TestingBig Data ArchitectureDataverseAzure Data EngineerAzure synapse analyticsAzure synapseVisual Data AnalyticsData pipeline designData Version ControlUX designAzure IoT EdgeJSONExcelMachine learningNoSQLAnalyticsWeb analyticsWireframing/prototypingUX ReviewUI designAnalysisMathematicsData ScienceRequirements GatheringTechnical WritingNoSQL DatabaseProblem solvingApache HiveMicrosoft Power PlatformQAStatisticsStrategy
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ogunniran S., Databricks delta lake developer
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ogunniran S.

Vetted Databricks delta lake developer in Nigeria (UTC+1)

As a seasoned Senior Data Professional, I specialize in developing sophisticated statistical models and cutting-edge machine learning algorithms tailored for financial forecasting, risk management, and predictive analytics. My expertise extends to conducting in-depth exploratory data analysis and crafting insightful data visualizations to discern trends and patterns within vast financial datasets. I am adept at constructing and maintaining robust databases that facilitate the seamless manipulation of extensive financial data sets. My collaborative approach involves working closely with cross-functional teams to identify strategic business opportunities and drive informed decision-making. Armed with a Bachelor's degree in Civil Engineering from the esteemed University of Ibadan, my educational background underscores a solid foundation in mathematics, statistics, and engineering. Further enhancing my skill set, I have successfully completed the Microsoft Professional Program in Data Science Through a diverse array of projects, roles, and fellowships, I have gained valuable experience in data engineering, data intelligence, and deep learning, reflecting my unwavering passion for tackling complex challenges with data-driven solutions. With over 7 years of comprehensive experience, I bring a wealth of knowledge in Data Analytics, Machine Learning Algorithms, Big Data Capture, Business Intelligence, and Enterprise Dashboard Development processes. My skill set encompasses a profound understanding of various database types, coupled with proficiency in research methodologies such as big data curation, manipulation, visualization, and programming concepts. I excel in deploying predictive models, developing data pipelines, and implementing ETL processes and solutions, effectively addressing diverse commercial needs. My contributions extend beyond technical prowess to include the ability to furnish strategic insights, identify correlations within raw data, and synthesize quantitative information. This skill set is leveraged to advance opportunity identification, drive process reengineering, and catalyze corporate growth for financial institutions. Recognized as a bridge between business needs and technical solutions, I have successfully collaborated with various organizations, platforms, and systems, seamlessly integrating them with the latest advancements in cloud technology. My overarching goal is to continue spearheading innovative solutions that have a positive impact on the world.

Manishanker T., Databricks delta lake developer
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Manishanker T.

Vetted Databricks delta lake developer in India (UTC+6)

I am a Senior software engineer with 7+ years experience building software products that are scalable, secure and resilient. I've built Machine Learning platforms from scratch and worked with large enterprises such as Inmobi (Asia's biggest Adtech company), Charles River Laboratories, AusNet Services, Forward Edge AI, Justdial (India's largest yellow pages company), IPsoft Research to reduce cost and improve performance. I am passionate about innovation powered by Machine learning. I love traveling and exploring deep blue seas. **I have taught total of 300 students in class room and online on Introduction to Python, Statistics, Machine Learning. Mentoring students in their Data science journey as a remote mentor for Thinkful Inc [New York]** **Technological skills:** - Languages: Python3, Java, Javascript, NodeJs - Frameworks: Apache Spark, Tensorflow, Google Dialogflow, FLASK, Kubernetes, Docker, Spring Boot MVC - Databases : Mysql, MongoDB - Cloud : Azure - AKS, Keyvault, VMSS, Blob, Azure Databricks, Azure Machine Learning Studio, Azure Batch AWS - EC2, EMR, S3, Lambda Datascience Specific packages : *pandas, numpy, matplotlib, scikit-learn, keras, scipy, jupyter notebook, Google colab* **Achievements:** - Google summer of code intern at Openstack - Favorite Datascience teacher award **References :** - [Teaching Portfolio] https://drive.google.com/file/d/1fDNuPgR3OXamJbc07AMxT6ITMO8ArqLA/view?usp=sharing - https://gist.github.com/manishanker/68a130fc00d8424656e4ce10d6147a0b I love working on solving some challenging problems. I am very passionate about teaching and mentoring others. I believe a lot in this quote: ```Give a man a fish, and you feed him for a day. Teach a man to fish, and you feed him for a lifetime.``` When I am not writing some code, I love to stay updated on recent advancements in Machine Learning. I love traveling and experiencing new cultures. I enjoy meeting people from different background and interacting with them and learning from them. This has enabled me to think in multi dimension and has ingrained me with a attitude of asking **why** to find more answer and always stay curious. I have done total 6 scuba dives in Thailand(1), Bali(4), Ibiza(1). I am always up for a healthy discussion on topics like travel, discovering yourself, learning from others.

Santiago J., Databricks delta lake developer
Santiago J.

Databricks delta lake developer in the United States (UTC-8)

I'm an experienced Cloud Engineer and Software Developer with a passion for creating innovative solutions to complex problems. My experience includes designing, developing, and managing cloud-based architectures, developing software for various platforms, and leveraging my technical expertise to build high-quality solutions. I have a proven track record of success in developing secure, scalable, and reliable solutions that ensure customer satisfaction. I'm also an effective communicator capable of working independently and collaboratively.

Milind K., Databricks delta lake developer
Milind K.

Databricks delta lake developer in the United Kingdom

\- Highly skilled and motivated senior data engineer/data analyst with a proven track record in designing, building, and maintaining large-scale data systems. \- Expertise spans the entire data lifecycle: modeling, designing, ingestion, storage, processing, integration, visualization, and quality testing. \- Proficient in architecting robust, scalable data pipelines using technologies like Azure Databricks, Data Lake Storage, Data Factory, Blob Storage, Python, PySpark, PyTest, SQL, and Great Expectations. \- Experienced in data ingestion from diverse sources: structured databases (Oracle, SQL Server), semi-structured formats (JSON, XML), unstructured data (text, multimedia files), and REST APIs. \- Strong skills in data transformation and processing, efficiently manipulating, cleansing, and transforming large volumes of data with PySpark. \- Deep understanding of data warehousing concepts, data modeling techniques, and query optimization strategies, delivering optimized solutions for data storage and retrieval. \- Well-versed in data quality assurance and implementing robust data governance practices to ensure data integrity, compliance, and security. \- Excel at extracting valuable insights and patterns from complex datasets using advanced statistical techniques and data mining algorithms. \- Skilled in creating visually compelling dashboards and reports with visualization tools and frameworks, effectively communicating data-driven insights to stakeholders for informed decision-making. \- Ability to bridge the gap between data engineering and data analysis, bringing a comprehensive approach to projects and enabling organizations to derive actionable insights from their data.

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Why clients hire Databricks delta lake developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire a Databricks delta lake developer?

In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.

Depending on the stage and scale of your product and services, you may need to hire a Databricks delta lake developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Databricks delta lake developers can help keep your website up-to-date.

How do I hire Databricks delta lake developers?

To hire a Databricks delta lake developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.

Arc offers three services to help you hire Databricks delta lake developers effectively and efficiently. Hire full-time Databricks delta lake developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Databricks delta lake developers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Databricks delta lake developers.

Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Databricks delta lake developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Databricks delta lake developers?

There are two types of platforms you can hire Databricks delta lake developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Databricks delta lake developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.

If you’re looking to hire the best remote Databricks delta lake developers, consider niche platforms like Arc that naturally attract and carefully vet their Databricks delta lake developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Databricks delta lake developers.

Some factors to consider when you hire Databricks delta lake developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.

Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Databricks delta lake developers for hire.

How do I write a Databricks delta lake developer job description?

Writing a good Databricks delta lake developer job description is crucial in helping you hire Databricks delta lake developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Databricks delta lake developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.

For a comprehensive guide on how to write an attractive job description to help you hire Databricks delta lake developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Databricks delta lake developer?

The top five technical skills Databricks delta lake developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of testing and debugging.

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Databricks delta lake developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Databricks delta lake developers to keep up with evolving technology and requirements.

What kinds of Databricks delta lake developers are available for hire through Arc?

You can find a variety of Databricks delta lake developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Databricks delta lake developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Databricks delta lake developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.

In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Databricks delta lake developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Databricks delta lake developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Databricks delta lake developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Databricks delta lake developers.

Every Databricks delta lake developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.

Not only can you expect to find the most qualified Databricks delta lake developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a Databricks delta lake developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Databricks delta lake developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.

While Arc has a strict vetting process for its verified Databricks delta lake developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Databricks delta lake developers, you can rest assured that all remote Databricks delta lake developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Databricks delta lake developers on Arc?

Arc pre-screens all of our remote Databricks delta lake developers before we present them to you. As such, all the remote Databricks delta lake developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Databricks delta lake developer in 72 hours, or find a full-time Databricks delta lake developer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Databricks delta lake developers.

How much does a freelance Databricks delta lake developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Databricks delta lake developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Databricks delta lake developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.

When you hire Databricks delta lake developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.

How much does it cost to hire a full time Databricks delta lake developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote Databricks delta lake developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.

For more frequently asked questions on hiring Databricks delta lake developers, check out our FAQs page.

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