Welltech

Data Engineer, Redshift

Welltech

full-time

Posted on:

Origin:  • 🇵🇱 Poland

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Job Level

JuniorMid-Level

Tech Stack

AirflowAmazon RedshiftAWSCloudETLGoGrafanaPySparkPythonSQLTerraform

About the role

  • Build and maintain ETL/ELT workflows using modern data tools and cloud services to ensure accurate, timely, and accessible data
  • Implement and maintain data models for analytics use cases, working closely with senior engineers and analysts
  • Collaborate with data analysts, product teams, and fellow engineers to gather requirements and support data delivery
  • Apply basic data validation checks and contribute to maintaining high data quality across pipelines
  • Monitor pipeline health and troubleshoot operational issues in collaboration with more senior engineers
  • Contribute to scripting and automation of data workflows using Python and SQL, improving reliability and reducing manual work
  • Work with GitLab CI pipelines for data deployments and gradually build expertise in automated testing and deployment practices
  • Learn and apply best practices in data engineering under guidance from senior team members and peer reviews

Requirements

  • 2–3+ years of experience in data engineering, backend development, or similar technical roles
  • Practical experience with AWS services, especially Redshift, S3, and Glue
  • Familiarity with AWS Lambda, RDS, and Kinesis (plus)
  • Solid skills in Python and SQL for data extraction, transformation, and scripting
  • Familiarity with dbt for data transformation and documentation or strong interest to learn it
  • Exposure to streaming or micro-batching concepts and tools
  • Understanding of CI/CD workflows, ideally using GitLab CI
  • Willingness to work with event schema validation tools (e.g., Iglu, Schema Registry)
  • Strong communication and collaboration skills
  • Experience working with APIs and integrations (REST, OAuth, webhook ingestion) or eagerness to build those skills
  • Detail-oriented with a focus on producing clean, reliable, and maintainable data pipelines
  • A proactive, curious mindset with a desire to continuously learn and grow
  • Bonus: experience with Snowflake, event collection tools (Snowplow, Rudderstack), PySpark, and infrastructure-as-code (Terraform)