Data Engineer II-Data Quality

Overview

Why GMF Technology?

GM Financial is set to change the auto finance industry and is leading the path of embarking on tech modernization - we have a startup mindset, and preserve our small company culture, in a public company environment with financial stability and intense growth over a decade-plus history. We are data junkies and trust in data and insights to advance our business objectives.

We take our goal of zero emission, zero collision, zero congestion, and zero friction very seriously. We believe as an auto finance market leader we are in the driver's seat to lead us in the GM EV mission to change the world.

We are building global platforms, in LATAM, Europe, China, U.S. and Canada- and we are looking to grow our high-performing team. GMF is comprised of over 10,000 team members globally. Join our fintech culture within a Blue-Chip company where we are changing the way we use technology to support our customers, dealers and business.

• Design, develop, and deploy Informatica Cloud Data Quality (CDQ) solutions, including data profiling, cleansing, standardization, matching and validation.
• Support the data quality product cycle in a cross-functional agile release environment.
• Collaborate with cross-functional teams such as product owners, business and IT to gather requirements around data quality rules and optimize as needed.
• Collaborate in data quality assessments and audits, identifying discrepancies and implementing solutions.
• Support data integration processes from multiple data sources with other Informatica tools to ensure seamless data flow and integrity.
• Establish and optimize Data Quality Scorecards, Dashboards and ad-hoc reporting.
• Perform administrative access and role management for the Informatica Cloud Data Quality (CDQ) repository.
• Perform root cause analysis on data quality issues and propose corrective measures.
• Implement automated systems for monitoring, reporting, and alerting on data quality metrics.
• Serve as the primary escalation contact for high-level issues concerning Informatica tools like CDQ, CDGC.
• Optimize, tune, and troubleshoot Informatica environments to enhance performance.
• Assist in the creation of standards, templates and procedures.
• Responsible: on supporting the user on all the available information.
• Stay abreast of application upgrades and coordinate troubleshooting for Informatica Cloud.
• Stay current with relevant emergent technologies, advancements in Informatica tools and data management practices.
• Comply with all security policies and procedures to ensure that the highest level of system and data confidentiality, integrity and accountability is maintained.

• Bachelor's Degree in related field or equivalent experience required.
• 2-4 years of hands-on experience with data engineering required.
• 5+ years of experience in a data quality or governance role with a focus on Informatica tools preferred.
• 5+ years of advanced experience querying complex data structures and performing root-cause analysis preferred.
• Advanced ETL knowledge preferred. 2-4 years of hands-on experience with data engineering required
• Expertise in data quality dimensions, business rules, data quality checks, dashboards and scorecards.
• Expertise in data profiling, validation, standardization, and cleansing.
• Experience designing and implementing Cloud Data Quality rules, mapplets, and validation checks.
• Experience with Informatica Cloud Data Quality and related tools.
• Experience with cloud data technologies such as Microsoft Azure, Databricks, AWS.
• Experience with Unix/Linux commands for scripting tasks related to data processing.
• Deep understanding of data warehousing concepts, medallion architecture, data lake, delta lake, cloud and on-prem data.