We are seeking an experienced AWS Data Engineer with strong expertise in Databricks, Apache Spark, AWS data services, Python/Scala, and SQL. The candidate will be responsible for designing, developing, and optimizing scalable ETL/ELT pipelines, supporting data lake and data warehouse solutions, and enabling data-driven business insights.
Key Skills
- Databricks
- Apache Spark
- AWS (S3, Glue, Lambda, Redshift)
- Python or Scala
- Advanced SQL
- ETL/ELT Development
- Data Warehousing & Data Modeling
- Airflow / Databricks Workflows
Key Responsibilities
- Build and maintain ETL/ELT pipelines in Databricks.
- Integrate Databricks with AWS data services.
- Develop and optimize Spark-based data processing solutions.
- Support data lake and data warehouse architectures.
- Implement workflow orchestration, data quality, and governance.
- Collaborate with stakeholders to deliver scalable data solutions.
Qualifications
- 48 years of Data Engineering experience.
- Strong hands-on experience with Databricks and AWS data services.
- Proficiency in Python/Scala and SQL.
- Valuable understanding of data warehousing and data modeling.