Hybrid Senior Data Engineer — Data Warehousing & ETL

Ameren Services Company; St. Louis (MO); Hybrid; USD 105,000 - 204,000; Full time

Benefits offered by this job

Medical coverage

Pension plan

401(k) with company match

Vacation days

Parental leave

Job summary

Ameren Services (B&CS) is seeking a Senior/Lead Data Engineer to design, build and maintain data pipelines, models and reporting layers. You will consolidate data from diverse sources, develop scalable data warehouses and create end-user information portals to enable informed decisions.

You will collaborate with Data Scientists, apply best practices in ETL, and drive enterprise-wide data integration initiatives.

Qualifications

• Bachelor's degree in mathematics, statistics, computer science or business.
• 5+ years of relevant experience.
• Strong knowledge of data pipelines, EDW, data marts and data lakes.
• Experience with cloud architecture and big data querying tools.
• Familiarity with agile software development.

Responsibilities

• Generates reports and regular datasets for end-users using system tools and queries.
• Designs, develops and programs methods to consolidate and analyze diverse sources.
• Leads enterprise-wide data integration, warehousing and modeling activities across platforms.
• Uses best practices in data engineering and integration with enterprise systems.
• Translates complex business requirements into modeling/warehousing solutions.

Skills

Data pipelines

Data warehousing

Cloud architecture

Big data querying

Agile methodologies

Data modeling

Data transformation

Education

Bachelor's degree in mathematics, statistics, computer science or business

Job description

Ameren Services (B&CS) is seeking a Senior/Lead Data Engineer to design, build and maintain data pipelines, models and reporting layers. You will consolidate data from diverse sources, develop scalable data warehouses and create end-user information portals to enable informed decisions.

You will collaborate with Data Scientists, apply best practices in ETL, and drive enterprise-wide data integration initiatives.