Data Engineer - AWS/Python/Snowflake DB

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.