Description

You will build and maintain data pipelines and infrastructure.

Responsibilities

• Design and implement ETL/ELT processes using tools like Apache Airflow and dbt.
• Develop and optimize data models within data warehousing environments.
• Process and manage large datasets using big data frameworks.
• Implement data governance, lineage, and cataloging practices.

Required Skills

• 10+ years of experience in data engineering or a related field.
• Strong programming skills in Python, SQL, and Spark (PySpark/Scala).
• Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, dbt, Informatica, Talend).
• Deep understanding of data warehousing concepts and dimensional modeling.
• Proficiency in big data technologies (Hadoop, Spark, Kafka, Delta Lake, Iceberg).
• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Experience with DevOps practices for data (CI/CD, Git, Terraform).

Key Skills

Education

Any Graduate