Senior AWS Data Engineer

Must-Have Qualifications:

• AWS Expertise: Strong hands-on experience with AWS data services including Glue, Redshift, Athena, S3, Lake Formation, Kinesis, Lambda, Step Functions, EMR, and CloudWatch.
• ETL/ELT Engineering: Deep proficiency in designing robust ETL/ELT pipelines with AWS Glue (PySpark/Scala), Python, dbt, or other automation frameworks.
• Data Modeling: Advanced knowledge of dimensional (Star/Snowflake) and normalised data modeling, optimised for Redshift and S3-based lakehouses.
• Programming Skills: Proficient in Python, SQL, and PySpark, with automation and scripting skills for data workflows.
• Architecture Leadership: Demonstrated experience leading large-scale AWS data engineering projects across teams and domains.
• Pre-sales & Consulting: Proven experience working with clients, responding to technical RFPs, and designing cloud-native data solutions.
• Advanced PySpark Expertise: Deep hands-on experience in writing ...