Sr Data Engineer

We’re looking for a Senior Data Engineer to design, build, and scale modern data platforms on AWS. You’ll work with Python, Spark, DBT, and AWS-native services in an Agile environment to deliver scalable, secure, and high-performance data solutions.

Experience: 7–10 years of experience in data engineering, with 4+ years on AWS platforms

What you’ll do

• Develop and optimize ETL/ELT pipelines with Python, DBT, and AWS services (Data Ops Live).
• Build and manage S3-based data lakes using modern data formats (Parquet, ORC, Iceberg).
• Deliver end-to-end data solutions with Glue, EMR, Lambda, Redshift, and Athena.
• Implement strong metadata, governance, and security using Glue Data Catalog, Lake Formation, IAM, and KMS.
• Orchestrate workflows with Airflow, Step Functions, or AWS-native tools.
• Ensure reliability and automation with CloudWatch, CloudTrail, CodePipeline, and Terraform.
• Collaborate with analysts and data scientists to deliver business insights in an Agile setting.

Required Skills & Experience

• Strong in Python (incl. AWS SDKs), DBT, SQL, and Spark
• Proven expertise with AWS data stack (S3, Glue, EMR, Redshift, Athena, Lambda)
• Hands-on experience with workflow orchestration (Airflow/Step Functions)
• Familiarity with data lake formats (Parquet, ORC, Iceberg) and DevOps practices (Terraform, CI/CD)
• Solid understanding of data governance & security best practices

Bonus

• Exposure to Data Mesh principles and platforms like Data.World
• Familiarity with Hadoop/HDFS in hybrid or legacy environments