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Vetted Data Lake developer in India
I am a certified Azure and Oracle Cloud Engineer in Azure and OCI domain with 9+ years of experience in evaluating and assessing client requirements, implementing and adapting it to cloud infrastructure. I have extensive experience in Microsoft Azure which includes, Azure Data Factory, Azure SQL, Azure Analysis Services, Azure Databricks, Azure Synapse Analytics, Azure Stream Analytics also have experience in OCI. Accomplished engineer proffering extensive cloud migration, adaption deployment and troubleshooting skills
Vetted Data Lake developer in India (UTC+6)
I am a Principal Software Engineer with expertise in programming languages such as Python, Spark, Rust, and JS. I have experience in data processing tools like Databricks, Hadoop, Numpy, and Pandas. Additionally, I have skills in web development with Flask, REST API, SQLAlchemy, and GraphQL. I am proficient in various databases including Snowflake, Redshift, Postgres, and MongoDB. I have experience with cloud services like AWS and Azure, as well as CI/CD tools like GIT and Jenkins. I have made significant contributions in architecting data pipelines, developing GQL resolvers, and owning backend applications. I have also improved efficiency in data ingestion and designed and developed data pipelines.
Vetted Data 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.
Data Lake developer in India (UTC+6)
### 🔑 Top Skills * Big Data Technologies: **Apache Spark, Hive, HBase, Kafka** * Cloud Platforms: **AWS, Kubernetes, Google Cloud Platform (GCP)** * Data Processing & Transformation * Data structures & Algorithm * Low level design * High level design * Schema Design ### 📜 Certifications * Neural Networks and Deep Learning * Certified Kubernetes Application Developer ### 🌟 Summary I am a seasoned **Data Engineer** with over **12 years of experience**, adept at delivering transformative solutions in **big data, cloud platforms, and database management**. I've successfully worked as a **developer and architect** for top MNCs and led multiple freelance projects to completion. Some of my key achievements include: * 🚀 Developing robust **Apache Spark frameworks** to enhance productivity. * 📈 Migrating large-scale big data systems to **AWS Cloud**, leveraging **Apache Airflow** and **Amazon EMR**. * 🔍 Optimizing retail analytics using **Kubernetes** and **Hive**, driving profitability. I specialize in crafting **scalable ETL pipelines**, optimizing performance, and mentoring aspiring engineers.
Data Lake developer in India
With over a decade of experience in the enterprise sector, I have established myself as a skilled Solution Architect, Data Engineer, Data Analyst, and Team Lead. My career has been marked by a strong attention to detail and effective communication skills. I am passionate about coding and collaborating closely with fellow developers and cross-functional teams to deliver successful projects. I aspire to continue leveraging my technical expertise to drive innovative solutions and contribute to impactful technology initiatives.
Data Lake developer in India (UTC+6)
Experienced Big Data Engineer specializing in Spark-based solutions and module leadership. Proven track record in delivering projects on time and optimizing data processes.
Data Lake developer in India (UTC+6)
Data Engineer with keen interest in Analytics, Automation & Telematics. Experienced Mechanical Engineer with good problem-solving skills, transitioned into Computer Science with hands-on experience in software development and data engineering. Upskilling in Backend Development
Data Lake developer in India (UTC+6)
Innovative Data Engineer with 4+ years of experience delivering data and analytics solutions across industries. Proficient in SAP Data Services, Azure Data Factory, Azure Databricks and Azure Data Lake, with strong expertise in Python, PySpark, and SQL. Experienced in executing data migration and integration projects, including migrating data from SAP to Azure Cloud. Adept at building scalable data pipelines, optimizing performance, and implementing cloud-based solutions. I bring a commitment to excellence and adaptability to any tech-focused team, making me an asset in an ever-changing industry.
Data Lake developer in India (UTC+6)
**10 years experienced Microsoft certified Data Engineer and Enterprise Data Analyst, spearheaded data migration projects, enhancing data processing and reporting capabilities using Azure technology and Power BI. Demonstrated expertise in Azure Data Engineering and Reporting, coupled with strong leadership in driving organizational initiatives. Proven ability to deliver innovative solutions, showcasing technical proficiency and project management acumen**
Data Lake developer in India (UTC+2)
Dear Sir/Madam, Greetings. Hope you are doing well. This is in reference to the open job position available in your organisation and I am happy to have a discussion with you on this opportunity. I am planning to relocate Europe from next month onwards and available to start the new job opportunity within 4 weeks. I am currently working as Data Architect with QBE Insurance and involved in ETL, Data Engineering & Analytics projects based on Azure Data Factory, Databricks, Python, PySpark, ETL, Data Lakehouse, Data Governance, Master Data Management, Data Fabric, Data Mesh, Power BI, SQL Server, AWS, Glue, S3, Athena and Snowflake. I am having 27+Years of Software Engineering Experience and worked with lot of Global companies like Citibank, Allianz Germany, Dexia Bank Belgium, Alfa Laval Sweden, Pepsico, Unisys, Pearson, QBE Insurance, Russel Investments, Jack & Henry Associates, etc. I have worked in different business domains like Banking, Insurance, Capital Markets, Indexes, Payments, Loan Credit, Green Energy, Retail, E-Commerce, CRM, HRMS, Education & Learning Systems, SaaS and Cloud Applications. I have worked globally in USA, UK, Germany, Belgium, Sweden, Canada, etc and have lot of international exposure in working with multi-cultural teams. As a Data Architect, my Key Performance Areas includes successful delivery of data architecture & data models, design & code within planned budget & timelines in good quality, deployment of cloud based data solutions meeting business requirements & conforming to best industry standards, complying with data security standards & policies and addressing external data integration needs in a secure way. I have very good real time experience of working as a Data Architect from Project start to Development to Deployment Go Live to Post Production Support in multiple cloud based data projects and has been responsible & accountable for quality of deliverables in all phases. I need to ensure all the business requirements are covered in Architecture, Design, Data Model, Code development, Test Cases and Deployment scripts thru’ Requirement Traceability Matrix and highlight any short comings proactively to project management & development teams. I engage & collaborate with Business Stakeholders, Subject Matter Experts, Senior Managers and CXO level executive team in understanding their business requirements, problem statements and future roadmap and also responsible for developing the Business Data Technology Solutions Roadmap which can increase Revenue, Profit Margins, Customer Satisfaction and Operational Efficiency. My job is to define, document and present the overall solution architecture to all stakeholders including Architecture & Design Approval Authority and getting necessary approvals for solution, cost & timelines from all stakeholders. I undertake the responsibility of analysing & understanding business requirements and identifying potential data technology solutions aligning with business objectives & requirements. I also conduct workshops and brainstorming sessions with relevant stakeholders to address vague & unclear requirements and develop prototypes & role-plays to avoid ambiguity in requirements. Also I follow a structured requirements process (gathering, analyzing, documenting, and managing changes) to prioritize immediate Short Term Vs Long Term business needs and recommends options, risks, and cost vs. benefits. As part of our development process, I am responsible for developing, maintaining and ensuring implementation of data architectural standards, code quality, design patterns and best practices in the developed solutions. Also need to ensure that the technical solution not only conforms to functional requirements but also meets performance, scalability, availability and security requirements. On daily basis, I provide technical leadership, guidance, mentoring and support to development teams. I have exhibited problem solving skills for any functional/technical issues within solution development and also addressed short & long term business problems thru’ technical solutioning. I work with project managers for proactively identifying and mitigating potential risks and issues related to the solution with Risk Mitigation and Contingency plans. Also communicate to project manager and senior management on Project Health & Risks monitoring and advising on any course corrections, if required. As part of my job responsibility, I need to coordinate and collaborate with cross functional teams and internal stakeholders like Business, Development, Testing, Devops & Infra’ and also external parties like Vendors, Suppliers, Clients and data source Partners to ensure successful implementation of the solutions. Also I work together with business stakeholders & development teams on daily basis to comprehend their issues, needs and requirements. As part of my technical research & exploration duties, I am responsible for evaluating current & future data technology trends and recommend appropriate data technologies and platforms for the future roadmap. Also I do develop Proof of Concept for evaluating the feasibility & effectiveness of the technical solutions in meeting the business requirements. I also perform Business Technology consulting with clients and advise them on Future IT Technology Roadmap, Business Technology Alignment Strategies, Bridging Business Technology Gaps and Business Process Engineering. I am relocating to Europe next month and available to start the work immediately either as Full time employee or Contractor or Fixed Term Contract and can join your organisation ASAP. I hope to have the opportunity to discuss this exciting position further with you. Please feel free to contact me on my mobile or WhatsApp at any stage to answer any questions you may have in regard to my application. **Thanks for showing interest with my profile.**
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Ready to hire your ideal Data Lake developers?
Get startedArc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Data Lake developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
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 Data 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 Data Lake developers can help keep your website up-to-date.
To hire a Data 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 Data Lake developers effectively and efficiently. Hire full-time Data 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 Data 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 Data 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 Data Lake developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Data 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 Data 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 Data Lake developers, consider niche platforms like Arc that naturally attract and carefully vet their Data Lake developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data Lake developers.
Some factors to consider when you hire Data 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 Data Lake developers for hire.
Writing a good Data Lake developer job description is crucial in helping you hire Data 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 Data 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 Data Lake developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Data 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 software 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 Data 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 Data Lake developers to keep up with evolving technology and requirements.
You can find a variety of Data 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 Data Lake developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data 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 software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Data Lake developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Data 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 Data Lake developers.
Every Data 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 Data 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.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Data 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 Data 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 Data Lake developers, you can rest assured that all remote Data Lake developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote Data Lake developers before we present them to you. As such, all the remote Data 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 Data Lake developer in 72 hours, or find a full-time Data 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 Data Lake developers.
Depending on the freelance developer job board you use, freelance remote Data Lake developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data 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 Data 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.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software 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 Data 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 Data Lake developers, check out our FAQs page.