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About the Role
Responsibilities
- Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data integration processes.
- Develop and optimize SQL queries, data models, and data structures for analytics and operational use cases.
- Work with diverse data storage systems, including relational, NoSQL, and distributed file systems.
- Implement data processing solutions using distributed computing frameworks such as Apache Spark or Hadoop.
- Collaborate with cross‑functional teams to deliver cloud‑native data engineering solutions on AWS or Azure.
- Develop automated workflows using orchestration tools such as Apache Airflow or Azure Data Factory.
- Apply DevOps practices including CI/CD automation, IaC, and containerization.
- Contribute to the design of resilient, scalable, and secure data architecture.
- Experience: Minimum 3 years of professional experience in data engineering, includi...
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