Goldenpick Technologies
Senior Data Engineer ELT & Data Platforms
Pittsburgh, Pennsylvania, USA · Senior · third party, contract
Sponsorship not specifiedDetected 62 days ago
SQLCI/CDDevOpsAirflowData EngineeringCollaboration
About the role
- Job title - Senior Data Engineer – ELT & Data Platforms Location: Pittsburgh, PA Work Mode: Hybrid - 3 days in office Duration: Contract to Hire Years Of Exp Required: 10+ Years Industry Background: Banking/Finance Job Responsibilities: • This role requires senior-level enterprise engineering expertise, with strong hands-on experience in designing and
- developing scalable, high-performance ELT data pipelines using modern data integration platforms such as Informatica (PowerCenter / IDMC). • The candidate must possess deep knowledge of data ingestion, transformation, and large-scale data processing, with a strong emphasis on ELT patterns in complex enterprise environments. • The role demands proven
Responsibilities
- This role requires senior-level enterprise engineering expertise, with strong hands-on experience in designing and developing scalable, high-performance ELT data pipelines using modern data integration platforms such as Informatica (PowerCenter / IDMC).
- In addition, the position requires strong experience in production support within mission-critical data platforms, including monitoring, troubleshooting, root cause analysis, and performance tuning to ensure reliability and stability of data pipelines.
Requirements
- Familiarity with data orchestration tools (Airflow or similar) and scheduling frameworks
- Knowledge of DevOps practices, CI/CD pipelines, and version control for ETL/ELT deployments
- Strong collaboration skills to work with business, data, and downstream systems teams to deliver scalable, enterprise-grade data solutions Required Skills 1.
- The candidate must possess deep knowledge of data ingestion, transformation, and large-scale data processing, with a strong emphasis on ELT patterns in complex enterprise environments.
- The role demands proven experience in handling high-volume batch and near real-time data pipelines, including data staging, transformation pushdown, and optimization within database or cloud platforms.
- Strong expertise in SQL and data transformation techniques, including performance tuning and query optimization
Skills
- Hands-on experience in designing and implementing ELT pipelines, leveraging database or cloud processing capabilities
- Experience working with data platforms (RDBMS, cloud data warehouses, big data ecosystems)
- Exposure to data quality validation, reconciliation, and audit frameworks
- DevOps practices, CI/CD pipelines, and version control for ETL/ELT deployments 7.
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