Senior Data Engineer
Indexed description
Responsibilities And Impact
- Build and support data ingestion and processing pipelines, ensuring efficient extraction, loading, and transformation of big data from diverse sources.
- Assemble large, complex data sets that meet both functional and non-functional business requirements, collaborating closely with product teams.
- Contribute to the continuous improvement of our cloud-native environment and data frameworks, enhancing scalability and efficiency.
- Create real-time monitoring dashboards and alerting mechanisms to enhance data processing reliability and performance.
- Document data assets, metrics, and KPIs to ensure transparency and knowledge sharing within the team.
- Building enterprise-scale software using Python, Containerization technology , etc.
- Building ‘big data’ data pipelines with distributed frameworks
- Large-scale data analytics tools, Dataflow, etc., along with workflow automation & scheduling frameworks
- Assembling large and complex data sets that meet functional / non-functional business requirements, Data modeling & cataloging
- SQL & distributed NO-SQL datastores (DBA level) e.g. Postgres, BigQuery
- Agile software development, working in multi-functional multi-location teams.
It is the policy of Mobility to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Mobility will provide reasonable accommodations for qualified individuals with disabilities.
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