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abra · 2 days ago

Data Engineer / ETL Engineer

Center District, Center, IL

Full-time

Onsite

Senior Level, Lead/Staff

8+ years exp

abra professional services is seeking a Data Engineer to design, implement, maintain, and optimize ETL processes. The role involves building efficient data pipelines and collaborating with BI, Analytics, and Product teams to create decision-support data layers while ensuring compliance with data quality standards and regulatory requirements.

Information TechnologyProduct DesignSoftware

Senior Management

Responsibilities

Design, implement, maintain, and optimize ETL processes using Informatica

Build efficient data pipelines for data ingestion, cleansing, and transformation across multiple data sources

Work with various analytical databases

Collaborate closely with BI, Analytics, and Product teams to create decision-support data layers

Lead the process of onboarding and integrating data sources into relevant AI systems

Provide ongoing support for existing data infrastructures while participating in the implementation of new solutions

Ensure compliance with data quality standards, information security policies, and regulatory requirements

Qualification

ETL processes using InformaticaData Engineer experienceData LakeDWHData modelingPythonSQL proficiencyData pipelinesBI systemsAI solution architectureData GovernanceData QualityTableau

Required

Academic degree holder with a Bachelor's degree in Computer Science, or a certified Practical Engineer (Technician) graduate in Computer Studies, or completion of Information Systems courses totaling at least 300 hours, or at least 5 years of general experience in the computing/IT field

At least 8 years of relevant experience in the BI (Business Intelligence) domain

At least 5 years of experience out of the last 7 years in the following areas: Serving in a Data Engineer role, Establishment and development of Data Lake and DWH (Data Warehouse) environments, Data modeling, Design and implementation of DWH and Data Lake architectures, AI solution architecture, Design and implementation of data pipelines, Python development, Working with BI systems, Working with DWH-supported data models, Very high-level proficiency in SQL, Design and implementation of ETL processes using Informatica or equivalent ETL tools