Senior Data Engineer ? @ Team Up IT Recruitment
(práce v Polsku)

Senior Data Engineer ? @ Team Up IT Recruitment

Polsko

• 5–8 years of professional experience as a Data Engineer.
• Strong knowledge of AWS services: S3, IAM, Redshift, SageMaker, Glue, Lambda, Step Functions, CloudWatch.
• Hands-on experience with Databricks (and optionally Dataiku).
• Proficiency in Python and/or Java, SQL (Redshift preferred), Jenkins, CloudFormation, Terraform, Git, and Docker.
• 2–3 years of Spark/PySpark experience.
• Familiarity with SDLC practices and solid communication/documentation skills.
• Knowledge of DSCS and DPTM considered an advantage.

• Long-term cooperation with a stable project and continuous development opportunities.
• Competitive rate – up to 150 PLN/h on a B2B contract.
• Cutting-edge technology stack (AWS, Databricks, Spark, Python, Terraform, etc.).
• Challenging and impactful projects – working with data at scale to enable advanced analytics and machine learning.
• Collaborative environment – close cooperation with analysts, data scientists, and ML engineers.
• Flexibility and autonomy in designing and building robust data solutions.

,[Design, implement, and maintain robust ETL/ELT pipelines for extracting data from diverse sources into data lakes and warehouses., Develop transformation logic, data models, and metadata management capabilities., Collaborate closely with product analysts, data scientists, and ML engineers to make data accessible, reliable, and meaningful., Implement data quality checks, maintain catalogues, and leverage orchestration, logging, and monitoring tools., Apply concepts of information architecture, version control (Git), and branching strategies., Follow test-driven development practices when building pipelines and solutions.] Requirements: AWS, Python, Jenkins, CloudFormation, Terraform, SQL, Git, Redshift, Docker, Spark, PySpark, DPTM, DSCS, SDLC

Kategorie

data

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