Satellite Innovations

• Design, build, and maintain data pipelines and ETL workflows using Python. • Write and optimize SQL queries for data transformation and validation. • Develop data processing jobs in a Databricks-first environment using Spark and Delta Lake. • Orchestrate data workflows using Airflow (DAGs, scheduling, dependencies, retries). • Implement data quality checks to ensure reliability and consistency of data pipelines. • Support the Principal Data Engineer and collaborate closely with the Data Engineering team. • Work with cloud-based data platforms, primarily within AWS. • Use Git for version control and contribute to basic CI/CD workflows. • Participate in code reviews and continuous improvement of data solutions.

• Gathering business requirements from a variety of sources and stakeholders • Creating, analyzing, and validating detailed functional specifications for technology systems • Managing the implementation of business requirements within technology systems • Writing system documentation • Analyzing large data sets to create custom reporting • Proactive coordinating with team members, including project managers, designers, engineers and QA to ensure a successful implementation effort • Functioning as an integral member of a growing company!