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