We are seeking an experienced Python AWS Data Engineer with 68 years of hands-on experience in building modern cloud-based data solutions. The ideal candidate should have strong expertise in Python, AWS, ETL/ELT pipeline development, Snowflake, and SQL. You will be responsible for designing, developing, and maintaining scalable data pipelines, integrating enterprise data sources, and supporting cloud-based data warehousing initiatives.

The role requires collaboration with cross-functional teams to deliver high-quality, reliable, and scalable data solutions while ensuring data integrity, performance, and operational excellence.

Key Responsibilities:

- Design, develop, and maintain scalable ETL/ELT pipelines for batch and scheduled data integration.

- Build and optimize cloud-native data solutions using AWS services.

- Develop and maintain data pipelines using Python and SQL.

- Work with Snowflake to build, manage, and optimize enterprise data warehouse solutions.

- Utilize Amazon Athena for querying and analyzing large datasets.

- Develop and support data ingestion, transformation, and integration workflows.

- Integrate enterprise data from Salesforce and other business applications.

- Collaborate with business analysts, architects, and development teams to understand business requirements and implement technical solutions.

- Optimize SQL queries, data models, and pipeline performance.

- Ensure data quality, reliability, and consistency across multiple data sources.

- Participate in code reviews, testing, deployment, and production support.

- Create technical documentation and support operational processes.

- Work independently while managing multiple concurrent workstreams and project dependencies.

Required Skills:

- 68 years of experience in Data Engineering or ETL Development.

- Strong programming experience in Python.

- Hands-on experience with AWS Cloud Services.

- Experience building ETL/ELT pipelines for batch and scheduled integrations.

- Strong experience with Snowflake Data Warehouse/Lakehouse.

- Experience using Amazon Athena.

- Advanced SQL development and query optimization skills.

- Experience with cloud-based data platforms and modern data architectures.

- Understanding of data integration and transformation best practices.

- Excellent analytical, troubleshooting, and problem-solving skills.

- Strong communication and stakeholder management abilities.