Senior AWS Data Engineer

We are seeking Senior AWS Data Engineers with good experience in data engineering, analytical data modeling, and cloud-based data platforms.

Key Responsibilities

• Design and maintain scalable data pipelines and transformation workflows using Databricks architecture
• Develop data transformations using SQL and Python
• Design and implement data warehouse data model in AWS Redshift
• Orchestrate data pipelines using Airflow
• Work with Databricks-based data environments to process and manage large datasets
• Ensure reliability and performance of data ingestion, transformation, and processing pipelines
• Collaborate with engineering and analytics teams to support data quality, data governance, and analytics delivery
• Troubleshoot pipeline issues and support improvements in platform stability and performance

Required Skills:

• Data Engineering experience building ETL / ELT pipelines
• Good experience in SQL, Python & Pyspark
• Strong understanding of data modeling and analytics data structures.
• Working experience with Databricks, including: Delta Lake, Databricks SQL.
• Experience working with AWS data services (S3, Lambda, Glue, Redshift, etc.)
• Experience with workflow orchestration tools such as MWAA or Airflow

Good to have:

• Experience with GitHub, Terraform, and Jira