EchoStar is reimagining the future of connectivity and needs a professional to work with business and technical stakeholders to gather, clarify, and document data requirements for automated processes, with a strong focus on data warehousing principles
Requirements
- Advanced SQL and querying large datasets within data warehouse platforms like Snowflake, Redshift, and Postgres
- ETL/ELT workflows and data pipeline orchestration for managing data warehouses and data lakes
- Demonstrated experience with Data Warehouse design, development, and maintenance
- Hands-on experience with data modeling within a data warehouse environment
- Strong understanding of relational and non-relational data models; ability to interpret and explain data flows across systems
- Familiarity with Control-M and/or Autosys or other enterprise workload automation tools
- Exposure to NoSQL databases like MongoDB and an understanding of their role in modern data ecosystems, including data lake integration
Responsibilities
- Work with business and technical stakeholders to gather, clarify, and document data requirements for automated processes, with a strong focus on data warehousing principles
- Collaborate with data engineers to build and validate data marts, scheduled reports, and system outputs, ensuring adherence to data warehousing best practices
- Assist in defining data logic and transformation rules that support downstream systems and operational workflows
- Help with QA, testing, and validation of data flows to ensure high accuracy and reliability, particularly for data warehouse and data mart solutions
- Maintain clear documentation of data definitions, transformation logic, and system dependencies, including data models for data warehouses and data marts
- Look for opportunities to streamline manual data tasks through automation or self-service tools
Other
- Bachelor's degree in computer science, or similar technical field
- 6-8 years experience
- Clear and concise communication skills—especially when bridging the gap between business logic and technical implementation
- Comfortable working as part of an Agile development team and collaborating across disciplines
- Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session
