Job Description

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 Cloud Watch, Cloud Trail, Code Pipeline, 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 engin...

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