Job Description

Design, build, deploy, and support end-to-end data pipelines, including data ingestion, transformation, validation, and publishing across cloud-based data platforms.
Develop, optimize, and maintain scalable ETL/ELT pipelines using SQL, PySpark, Databricks, Snowflake, and cloud-native services.
Build high-performance data transformation workflows for large-scale structured and semi-structured datasets.
Collaborate with cross-functional teams to gather data requirements, implement data solutions, and ensure data quality, reliability, and governance.
Monitor, troubleshoot, and optimize data pipelines to ensure high availability, performance, and operational excellence.
Implement data quality checks, validation frameworks, logging, monitoring, and automated alerting.
Follow DevOps and CI/CD best practices for deployment, testing, version control, and release management.

Data Engineer

Quick Overview