We are seeking an experienced AWS Data Engineer with robust 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.
Solid hands-on experience with Databricks and AWS data services.
Proficiency in Python/Scala and SQL.
Valuable understanding of data warehousing and data modeling.