Data Engineer

Job description

**Skills Required Primary:** Python, Snowflake, AWS, Apache Airflow, SQL / RDBMS **Core Responsibilities** Design, build, and maintain scalable data pipelines using Python and Apache Airflow. Develop and deploy ETL/ELT workflows integrating data from multiple sources into Snowflake. Collaborate with business stakeholders to gather, analyze, and translate requirements into technical solutions. Develop and optimize Snowflake objects including tables, views, streams, tasks, and stored procedures. Utilize AWS cloud experience to support data infrastructure and pipeline deployments. Collaborate with the Power BI team to provide clean, reliable data models supporting reporting and analytics. Own the full release lifecycle from development through staging to production – including support and on-call rotations. Participate in Agile ceremonies, monitor pipeline metrics, and contribute to engineering best practices. **Qualifications** Bachelor's degree in Computer Science, Software Engineering, or equivalent experience. 8+ years of data engineering or software engineering experience. Strong SQL and RDBMS fundamentals; hands-on Snowflake experience – 5+ years. Proficiency in Python for data engineering and automation – 5+ years. Hands-on experience building and orchestrating pipelines with Apache Airflow – 3+ years. AWS cloud experience – 4+ years. Experience with CI/CD, Git, Agile methodology, and tools like Jira and Confluence. (Good to have) Power BI, Supply Chain domain knowledge, or Infrastructure-as-Code experience