Senior 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. What you’ll doDevelop 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 & Experience7–10 years of experience in data engineering , with 4+ years on AWS platforms 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 BonusExposure to Data Mesh principles and platforms like Data.World Familiarity with H adoop/HDFS in hybrid or legacy environments

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