Description

Must-Have:

· 4–7 years of hands-on Data Engineering experience.

· Experience delivering multiple production-grade cloud data platform implementations

· Advanced Python, SQL, and Spark/PySpark with some exposure to Databricks.

· Strong knowledge of ETL/ELT, data modeling, CDC, streaming, governance, and performance optimization

· Experience with Git, CI/CD, automated testing, and deployment strategies

· Experience contributing to solution design and architectural decisions

· Experience leading technical implementation activities and/or mentoring engineers

· At least one Associate-level or higher AWS, Azure, or GCP certification

Nice-to-Have:

· Delta Lake / Lakehouse experience

· Snowflake, Redshift, Synapse, or BigQuery experience

· Docker / Kubernetes exposure

· Working knowledge of Terraform / Infrastructure as Code

Key Skills

Education

Bachelor's degree