Data Engineer

5 days ago

India Veraxion Full time

We’re looking for a 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 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 - 4–7 years of experience in data engineering, with 3+ 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 Bonus - Exposure to Data Mesh principles and platforms like Data.World - Familiarity with Hadoop/HDFS in hybrid or legacy environments

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