Lead Engineer, Data

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Empower

Site WebLinkedInTous les Emplois

10 000+ employés

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower est un prestataire de services financiers de premier plan, axé sur l'aide aux individus et aux organisations pour atteindre la liberté financière grâce à la planification de la retraite et à la gestion des investissements. Au service de plus de 19 millions d'Américains, Empower propose une suite complète de services liés aux finances, incluant la planification intelligente, les conseils en investissement, et des outils comme le tableau de bord personnel Empower™ pour une vue d'ensemble financière. L'entreprise est réputée en tant que principal fournisseur de plans de retraite et collabore étroitement avec des investisseurs individuels, des épargnants sur le lieu de travail, des promoteurs de plans et des professionnels financiers. Empower est également reconnu pour ses initiatives en matière de diversité, d'équité, d'inclusion et a un engagement social qui renforce l'impact communautaire.

Description

• Build, maintain, and implement ELT/ETL pipelines and database structures • Collaborate with other developers on the team • Work with internal technology teams to understand and aid in the implementation of database and data transformation requirements • Design and build data structures throughout all stages of the data lifecycle (raw, refined, analytics/report ready) • Maintain and optimize existing data structures throughout all stages of the data lifecycle (raw, refined, analytics/report ready) • Build ELT/ETL Python scripts to source data from various systems • Validate data and transformations throughout the entire data lifecycle • Analyze data discrepancies to determine root cause and identify correct course of action • Integrate up-and-coming data management and software engineering technologies into existing data structures • Document data lineage, data transformations, business logic, calculations, data dictionary • Provide guidance on automated data QA checks throughout data lifecycle • Ensure that all systems meet the business/company requirements as well as industry practices • Collaborate with members of your team on project deliverables goals • Install/update disaster recovery procedures • Recommend different ways to constantly improve data reliability and quality • Train and mentor others on the team on best practices, techniques, and languages

🎯 Exigences

• 6+ years of Python programming experience using python packages such as numpy, pandas etc • Strong experience using Python on event-drive programming • Familiar with using python lists, classes, dictionaries to build module/functions etc • Experience analyzing, mapping, and connecting with various source system data • Solid experience with building and maintaining ETL/ELT pipelines using Python • Strong experience with Postgres and PSQL writing data transformation and data structures • Excellent communication skills with the ability to collaborate with non-technical partners • Experience working in an Agile environment working on a Scrum team • Strong understanding of concepts or experience with ETL and ELT, Data pipelines, Data Warehousing and Data Marts, Kimball Vs. Inmon architecture patterns, TDD, Source control, CI/CD, DevOps

🏖️ Avantages

• flexible work environment • fluid career paths • purpose, well-being, and work-life balance • welcoming and inclusive environment • volunteering opportunities