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Senior Data Engineer
Skills
Computer ScienceSQLAirflowAnalyticsData AnalyticsData QualityData Science
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in Mathematics Economics Data Science/Analysis Computer Science or a related field or equivalent certifications
- Proven experience as a Data Engineer or similar role at an early stage startup
- 5+ years working with SQL data sources preferably PostgreSQL with demonstrated success for both OLTP and OLAP workloads
- Strong emphasis on data quality monitoring and transparency within reporting products
- Passion for using data to solve problems uncover new insights and trace underlying problems
Nice to have
- AWS experience
- GraphQL proficiency
- TypeScript knowledge
- Elasticsearch knowledge
Day to day
- Responsible for the design maintenance and ongoing enhancement of Pattern’s data analytics pipeline
- Design develop and maintain our data warehouse and ETL pipelines using technologies like Scala PostgresQL Airflow and Python to ensure the accuracy consistency and reliability of our data
- Operate within Pattern’s data warehouse writing queries against large volumes of structured and unstructured information in PostgreSQL
- Build tools to monitor the health and responsiveness of Pattern’s analytic products
- Collaborate with data scientists analysts and other stakeholders to understand data requirements and deliver high-quality data solutions
Hiring process
- Apply through our website
- Interview with the hiring manager
- Technical interview
- Final interview