Data Engineer

Position Title: Data Engineer Location: PA – Pittsburgh (Locals Preferred) Work Status :   Onsite 5 days a week Duration :  Contract to Hire Years Of Experience Required : 6+ Years Industry Background:  Finance / Banking Function of the Group: Support Costing and Profitability for Line of Business Initiatives/Projects: Costing for Customer Profitability Roles and Responsibilities: • Analyzes and evaluates requirements by working with users, product owners and management and provides recommendations on the scope and complexity of the solution. • Collaborate with Finance Product owners and analysts to gather requirements and implement data solutions that meet business needs. • Proactive and detail-oriented professional with strong sense of ownership Creative problem solver who can tackle complex data challenges. • Mentor who can guide junior engineers and contributes to team growth. • Proposes & designs data solutions to address complex business needs. • Prepares technical and procedural documentation required. • Acts as a lead by developing and documenting technical specifications for proposed solutions. • This includes hands-on coding and testing as well to support solutions. • Participates in code reviews & overall testing. • Excellent problem-solving and collaboration skills Must Have Technical Skills: • Strong experience in data engineering and ETL development • Strong experience with Informatica (PowerCenter and/or Informatica Cloud/IICS) • Advanced SQL, PL/SQL skills and experience with large-scale data transformations • Experience with data warehousing platforms (e.g. SQL Server, Oracle, Teradata) • Writing and optimizing code for data pipelines to ensure systems are highly efficient, scalable, and capable of handling large-scale financial datasets. • Familiarity with Agile/Scrum development environments • Strong collaboration and communication skills for working with finance and business stakeholders Flex Skills/Nice to Have: • Proficient with code deployment tools such as Udeploy, Artifactory Experience with cloud data platforms (Azure, AWS, or GCP) • Knowledge of financial and cost data, preferably Activity Based Costing & customer profitability systems.