Data Science Engineer

• Engage with stakeholders to gather requirements to deliver data solutions.
• Implement data pipelines to automate the ingestion, transformation, and augmentation of data sources, and provide best practices for pipeline operations.
• Troubleshoot and remediate data quality issues raised by pipeline alerts or downstream consumers.
• Work with upstream QA teams on integrating data validation tests. Evaluate new releases from data quality perspective.
• Provide advice and ideas for technical solutions and improvements to data systems.
• Create and maintain clear documentation on data models/schemas as well as transformation/validation rules.

Requirements :

• 3-6 years experience in Data Engineer role that involves dimension modeling and SQL-based (expert level) data transformation and analytics.
• Exposure to cloud (AWS) big data technologies
• Hands-on experience with all aspects of designing, developing, testing and implementing ETL solutions (Pentaho).
• Fluent in programming languages like Java/Python.
• Comfortable working in Linux environment.
• Experience building complex reporting dashboards.
• Past experience working with large scale columnar data stores (Redshift/Vertica).

Good to have:

• Experience with Metabase.
• Take responsibility for performance tuning.
• Ability to develop and organize high-quality documentation.
• Superior analytical skills and a strong sense of ownership in your work.
• Exposure to cloud big data technologies.
• Ability to thrive in a fast-paced start-up environment, and to manage multiple, competing priorities simultaneously.
• Knowledge in orchestration tools like Airflow