Data Engineer

August 29

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technology • financial services • banking • loan origination system • Loan Origination

501 - 1000

💰 $485M Post-IPO Debt on 2021-11

Description

• Design, develop, and operate large scale data pipelines to support internal and external consumers • Improve and automate internal processes • Integrate data sources to meet business requirements • Write robust, maintainable, well documented code

Requirements

• 2-4 years professional Data Engineering and Data warehousing experience • Extremely strong implementation experience in Python, Parquet, Spark, Azure Databricks, Delta Lake, Databricks Data Warehouse. Databricks workflows, Delta Sharing and Unity Catalog. • SQL development knowledge – Stored procedures, triggers, jobs, indexes, partitioning, pruning etc. • Be able to write/debug complex SQL queries • ETL/ELT and Data-warehousing techniques and best practices • Experience building, maintaining, and scaling ETL/ELT processes and infrastructure • Implementation experience with various data modelling techniques • Implementation experience working with a BI visualization tool (Sisense is a plus) • Experience with CI/CD tools (Preferred Gitlab, Jenkins) • Experience with cloud infrastructure (Azure strongly preferred) • Experience working in a fast-paced product environment, with an attitude of getting the job done with the least amount of tech debt The following experience is highly preferred: • UI development frameworks such as java script, Django, REACT etc. • Knowledge of being able to work with a variety of Ingestion patterns such as API/SQL servers etc. • Knowledge of Master Data Management • Prior Financial industry experience a plus. • Be able to navigate ambiguity and pivot based on business priorities with ease. • Strong communication, negotiating and estimating skills. • Be a team player and should be able to collaborate well.