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Work format: full-time, 100% remote
Start: ASAP
Hi!
We are looking for Azure DataBricks Engineers for our US-based client. The work involves areas such as migration, data collection, and optimization of solutions based on DataBricks. The client has a continuous demand for specialists. The projects they run are mostly short-term (with a high probability of extension), and due to this constant demand, the client can usually offer a new project right after the previous one ends.
Currently, specialists are needed for 3 projects:
two projects focused on migrations to DataBricks (a marketing platform and a fundraising platform)
one project focused on building a medical data analytics platform and embedding it into the Databricks environment
For the client, it is crucial to have strong experience with Azure (and/or) AWS, as well as solid knowledge of DataBricks and Apache Spark. The client mainly works with US-based companies — in most cases, only a small time-zone overlap is required (e.g., 10:00–18:00 CET), though we are open to candidates preferring different working hours.
General responsibilities:
Planning tasks and selecting appropriate tools
Integration of databases in near real-time
Designing and developing ETL processes
Conducting migrations of databases/platforms/ML models
Optimization and automation of platforms
Close cooperation with data engineers, data scientists, and architects
Requirements:
️ Solid experience working as a data engineer or in a related role (8+ years)
️ Strong knowledge (min. 2-3 years of experience) of the DataBricks platform and Apache Spark (migrations, ETL processes, integrations)
️ Strong Python skills
️ Experience with data migrations
️ Experience working in Microsoft Azure (e.g., Data Factory, Synapse, Logic Apps, Data Lake) or/ and AWS Cloud (e.g. Redshift, Athena, Glue)
️ Strong interpersonal and teamwork skills
️ Initiative-taking and ability to work independently
️ English at a level enabling fluent team communication
Nice to have:
️ Experience in designing and optimizing data workflows using DBT, SSIS, TimeXtender, or similar (ETL/ELT)
️ Experience with any big data or noSQL platforms (Redshift, Hadoop, EMR, Google Data, etc.)
How we work and what we offer:
We value open communication throughout the recruitment process and after hiring — clarity about the process and employment terms is important to us
We keep recruitment simple and human — our processes are as straightforward and candidate-friendly as possible
We follow a "remote first" approach, so remote work is our standard, and business travel is kept to a minimum
We offer private medical care (Medicover) and a Multisport card for contractors