Jobs → Data & Analytics → Data Engineer

About the Role We are looking for an experienced Data Engineer to join our team and build scalable, reliable data pipelines and modern data platform solutions. Key Responsibilities • Design, develop, and maintain scalable ETL/ELT data pipelines for analytics and reporting • Build data solutions across Data Lakes, Lakehouses, and Cloud Data Warehouses • Develop reusable data transformations and datasets using Databricks, Spark, Snowflake, and dbt • Configure and manage workflow orchestration using Dagster, JAMS, Airflow, or similar tools • Implement data quality checks, validation, monitoring, and alerting • Optimize data pipelines for performance, scalability, and reliability • Implement Git-based development, CI/CD, and automated deployment practices • Troubleshoot production issues and support business-critical data workflows • Collaborate with architects, analysts, data scientists, and business stakeholders • Maintain technical documentation, data flows, and operational procedures Requirements • 3+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering • Strong hands-on experience with Python and SQL • Experience building and managing scalable batch or streaming data pipelines • Strong understanding of Data Lakes, Lakehouse architecture, and Cloud Data Warehousing • Experience with Microsoft Azure, Snowflake, and Databricks • Knowledge of distributed data processing, data modeling, partitioning, and performance optimization • Experience with Git, CI/CD, automated testing, and production monitoring