We're looking for a Senior Data Engineer to join our team and support one of our clients – a leading company with a strong focus on Databricks.
What You'll Do:
Design, build, and optimizedata pipelinesusingDatabricks PySparkin production environments;
Work withlarge-scale and complex datasets, ensuring performance, scalability, and reliability;
Collaborate with cross-functional teams totranslate business requirements into technical solutions;
Apply best practices indata engineering, including testing, monitoring, and performance tuning;
Leveragecloud platforms (Azure, AWS, or GCP)to deliver scalable, high-performing solutions;
Ensuredata quality, governance, and complianceacross the entire pipeline lifecycle.
What You Need to Succeed:
Strong expertise inPythonandSQL;
Proven track record of deliveringDatabricks PySpark pipelines into production;
Solid, hands-on experience withDatabricks;
Experience with at least one majorcloud provider(Azure, AWS, or GCP);
Demonstrated ability to work withlarge datasetsand design robust, scalable pipelines.
What We Offer:
Integration into asolid, international projectwith a Databricks-driven company;
Opportunity to work oninnovative, large-scale data engineering solutions;
Adynamic and collaborative environmentwith cutting-edge technologies;
Competitive compensation package, aligned with your experience and impact;
Continuous learning and career development opportunitiesin Data Engineering.