ETL Developer - Data Analytics

Description :

- ETL knowledge

- AWS tech stack (AWS Lambda, AWS S3, AWS Terraform)

- AWS Glue

- Python

Secondary Skills (Good to Have) :

- GraphQL

- PostgreSQL

- GitHub Actions

Key Responsibilities :

- Design, develop, test, and deploy ETL pipelines to ingest, transform, and load data from multiple sources

- Implement cloud-native data solutions leveraging AWS services and infrastructure-as-code

- Maintain and optimize AWS Glue jobs, Lambda functions, and S3-based data lakes

- Write clean, maintainable Python code for data processing and orchestration

- Collaborate with data engineers, analysts, and stakeholders to translate requirements into

technical solutions

- Monitor, troubleshoot, and tune ETL performance and data quality issues

- Create and maintain pipeline documentation, data lineage, and operational runbooks

- Implement CI/CD for data pipelines and automation around deployments and testing

- Ensure security, governance, and cost-efficiency of data processing workflows

Required Qualifications :

- Bachelors degree in Computer Science, Engineering, Information Systems, or equivalent experience

- Proven experience designing and building ETL/data pipelines in production

- Strong Python development skills and experience with data libraries (e.g., pandas, pyarrow)

- Hands-on experience with AWS services listed in Priority Skills

- Familiarity with infrastructure-as-code (Terraform) and deployment automation

- Solid understanding of data modeling, data warehousing concepts, and data quality best

practices

Desired Experience & Traits :

- Experience with AWS Glue job authoring, debugging, and performance tuning

- Experience working with data lakes, partitioning strategies, and S3 lifecycle/cost management

- Knowledge of API integrations and GraphQL endpoints

- Comfortable working in agile teams and collaborating across engineering and data functions

- Strong problem-solving, communication, and documentation skills