Senior Data Engineer

Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT. Z nami znajdziesz konkurencyjne oferty zatrudnienia oraz ciekawe projekty IT skierowane zarówno do ekspertów z wieloletnim doświadczeniem, jak i osób, które dopiero zaczynają swoją przygodę w branży IT.

• 5–8 years of relevant experience.
• Knowledge of DSCS and DPTM is a plus.
• Strong experience with AWS services: S3, IAM, Redshift, Sagemaker, Glue, Lambda, Step Functions, CloudWatch.
• Hands-on experience with platforms like Databricks and Dataiku.
• Proficiency in Python or Java, SQL (preferably Redshift), Jenkins, CloudFormation, Terraform, Git, Docker.
• 2–3 years of experience with Spark / PySpark.
• Strong communication skills and ability to document technical processes.

• Design, develop, and maintain ETL/ELT pipelines to extract data from various sources and load it into data lakes and data warehouses.
• Define data transformation rules and build data models.
• Collaborate with analytics and ML teams to identify and transform data for better usability.
• Implement data quality checks, maintain data catalogues, and use orchestration, logging, and monitoring tools.
• Apply test-driven development methodology in pipeline creation.
• Document processes in line with SDLC standards.