AND is seeking a Data Engineer (Contract) to help clients achieve their data engineering needs, with a focus on building scalable data pipelines, maintaining data quality and reliability, and supporting the growth of junior-mid level technologists.
Requirements
- Strong expertise in Python and PySpark/Spark
- Strong knowledge of SQL for querying structured data and interacting with databases
- Experience with data warehousing concepts and delivering analytical insights to internal stakeholders
- Deep expertise in at least one major cloud platform (AWS, Azure, or GCP)
- Experience with Apache Airflow for workflow orchestration and pipeline scheduling
- Hands-on experience with AWS services, particularly Glue and Redshift
- Strongly Desired: Experience with Apache Kafka or similar streaming technologies
- Nice to Have: Familiarity with Data Vault 2.0 and Star Schema design
Benefits
- Hybrid work arrangement
- Opportunity to work with a dynamic team and contribute to the growth of the company