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Vetted Databricks developer in Pakistan (UTC+5)
An accomplished Machine Learning Engineer with a rich and versatile background in both Data Science and MLOps, showcasing a wealth of expertise in the convergence of cutting-edge technologies.
Vetted Databricks 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
Vetted Databricks developer in Pakistan (UTC+1)
* Bachelor’s degree in Computer Science with over 16 years of experience in software development, specializing in the analysis, design, and development of software applications. * Earned multiple certifications in AWS (Solutions Architect, Data Analytics, Database) and Databricks Spark. * Proficient in data modeling, data architecture, data warehousing, and business intelligence. * Expert in big data solutions on AWS and familiar with Azure data services including Data Lake, Data Factory, Databricks, and Synapse Analytics. * Extensive experience in ETL processes and data transfer technologies, with strong knowledge of both logical and physical database modeling methods. * Demonstrated project leadership, managing database management and ETL projects from concept to implementation. * Experienced in designing and developing data lake and big data solutions utilizing AWS (Redshift, Glue, DynamoDB) and Azure (Synapse Analytics, Data Factory). * Proficient in migrating data from on-premise environments to AWS, including Oracle and SQL Server to AWS EC2 and RDS (Aurora MySQL & PostgreSQL). * Strong adaptability and problem-solving skills, with experience working in Agile environments applying the Scrum methodology.
Databricks developer in Pakistan (UTC-7)
As a senior Data Engineer, my professional trajectory has been marked by a focus on leveraging cutting-edge data engineering technologies to drive efficiency and innovation. My expertise spans across Snowflake, ETL processes, AWS, PySpark, and Athena, among other pivotal and advanced data processing frameworks and cloud technologies, including Airflow, Kubernetes, Python, AWS, Azure, and GCP, to design and implement robust data platforms and pipelines. With a foundational academic background, my career has been a journey of continuous learning and application of best practices in the field of data engineering.
Databricks developer in Pakistan (UTC-4)
• 5+ years of Data Science experience leveraging diverse technologies. • Expertise in providing AI solutions across retail, telecommunications, and fintech sectors. • Specialized in time-series forecasting; collaborated with Walmart to detect anomalies in sales data, achieving a 5% MAPE using PySpark and GCP deployment. • Established end-to-end pipelines for dev, staging, and production, streamlining weekly forecasting workflows. • Significant contributions in NLP projects; with a focus on Large Language Model (LLM) enhancement. • Worked on ASR models and text to speech models. • Deployed models with ZMQ for seamless live request handling, scaling systems to manage 1000+ calls for Dominos. • Pioneered AI solutions for Fintech, implementing computer vision for automated KYC verification. • Proficient in Docker and Linux shell for model deployment and real-time customer request servicing. • Demonstrates strong analytical and problem-solving skills.
Databricks developer in Pakistan (UTC+5)
I am an experienced Machine Learning Engineer with over 4 years of experience in Python Development, ML/DE, and AWS. I have a great passion for solving real-life problems with ML.
Databricks developer in Pakistan (UTC+5)
I am a skilled Senior Data Engineer with expertise in Python, Java, C#, and Golang. I have led data platform development, implemented MLOps models, and optimized cloud infrastructure for cost savings.
Databricks developer in Pakistan (UTC+5)
7+ years of experience in machine learning in different industries i.e., IOT, hospitality, health care, telcos and retail. Working with multiple LLMs to classify the bank transactions and build RAG on top of it for recommendation, in Azure environment Quantization of Llama2-7b and used it for classify the documents. Integration of LLMs with Dataiku environment Worked on multiple chatbot frameworks at different capacities i.e. from building a framework to implementing chatbots in different industries using RASA, Bit Libre and others. Expertise in Cloud based OCRs like Azure Document Intelligence, Google Doc AI. Worked on Regression, LSTM based models for revenue growth in different industries and use LASSO optimization for feature selection. Designed and developed a customer engagement model to generate more traffic in the hospitality industry. Experience in developing chatbots in banking, hospitality and telecom sector. Enhanced a competitors analysis model that can adjust the adjust the pricing based on competitors' data, property location, walk-in customer base, occupancy available, amenities, rooms types, nearby attractions and various other features.
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Ready to hire your ideal Databricks 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 Databricks 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 Databricks 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 developers can help keep your website up-to-date.
To hire a Databricks 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 developers effectively and efficiently. Hire full-time Databricks 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 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 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 developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Databricks 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 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 developers, consider niche platforms like Arc that naturally attract and carefully vet their Databricks developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Databricks developers.
Some factors to consider when you hire Databricks 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 developers for hire.
Writing a good Databricks developer job description is crucial in helping you hire Databricks 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 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 developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Databricks 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 Databricks 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 developers to keep up with evolving technology and requirements.
You can find a variety of Databricks 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 developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Databricks 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 Databricks 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 Databricks 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 developers.
Every Databricks 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 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 Databricks 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 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 developers, you can rest assured that all remote Databricks 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 Databricks developers before we present them to you. As such, all the remote Databricks 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 developer in 72 hours, or find a full-time Databricks 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 developers.
Depending on the freelance developer job board you use, freelance remote Databricks developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Databricks 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 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 Databricks 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 developers, check out our FAQs page.