What You'll Do
- Develops code (e.g. python), infrastructure and tools for the extraction, transformation, and loading of data from a wide variety of data sources, using SQL, streaming and related data lake and data warehouse technologies
- Builds analytical tools to utilize, model and visualize data
- Assembles large, complex data sets for the needs business for ad-hoc requests and as part of on-going software engineering projects
- Develops scripts to automate manual processes, address data quality, enable integration or monitor processes
- Understands data security to a high degree as applicable to multi-tenant environments, multiple regions and financial industry data
- Takes personal responsibility for quality and maintainability of the product and actively identifies areas for improvement
- Identifies problems/risks of own work and others
- Identifies viable alternative solutions and presents them
- Follows SDLC processes, including adopting agile-based processes, peer code-reviews, and technical preparations required for scheduled releases and demos
- Partners with product, analytics and data science team to drive requirements that take into account all parties' needs
- Establishes monitoring, responds to alerts and resolves issues within data pipeline
- Develops sophisticated data-oriented software or systems with minimum supervision
- On-boards and mentors less experienced team members
- Makes complex contributions to technical documentation/knowledge base/data directionaries and team/engineering presentations
- Optimizes processes, fixes complex bugs and demonstrates advanced debugging skills
- Collaborates with product owners, software developers, data scientists, devops and analysts
- Expanded Code review responsibilities
- Performs advanced refactoring
- Bachelor’s degree in Computer Science or related field, or equivalent years’ experience
- Advanced working SQL knowledge and experience working with a variety of relational databases
- Experience working with a modern scalable data lake or data warehouses
- Experience working with a modern data pipeline or data workflow management tool
- Experience working in a product-oriented environment alongside software engineers and product managers
- Experience with Python in a full SDLC/production deployment environment
- Preferred: Experience with AWS services
- Experience working with Snowflake
- Experience working with Looker or an equivalent
- Business Intelligence suite
- Experience working with Fivetran or an equivalent ETL/ELT suite
- Experience with Databricks or an equivalent Spark-based suite, Financial Industry experience preferred
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