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Senior Data Engineer (ETL, PySpark, Informatica)

Tuppl • United State
Visa Sponsorship
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Lead the design, development, and optimization of large-scale data pipelines using Informatica PowerCenter/IDQ and PySpark. Oversee ETL workflows, Hadoop ecosystem technologies, and data transformations while collaborating cross-functionally in an Agile environment. Requires 8–10 years of experience in data engineering, deep expertise in ETL, and strong problem-solving skills.

Key Highlights
8–10 years of experience in Data Engineering and Data Analysis
Hands-on expertise in Informatica PowerCenter/IDQ for ETL development and optimization
Advanced PySpark skills for large-scale data processing and analytics
Key Responsibilities
Design, develop, and optimize ETL workflows using Informatica PowerCenter/IDQ for data extraction, ingestion, quality checks, normalization, and loading
Develop and maintain large-scale data pipelines using PySpark for batch and streaming data processing
Collaborate with cross-functional teams to implement Agile methodologies and coordinate across the Software Development Lifecycle (SDLC)
Ensure data integrity, performance optimization, and scalability of Hadoop-based data processing systems
Lead client-facing interactions to coordinate requirements, deliverables, and project timelines
Technical Skills Required
Informatica PowerCenter/IDQ PySpark Hadoop Ecosystem (HDFS, Hive, Sqoop, MapReduce)
Nice to Have
Exposure to AWS data components and analytics
Familiarity with machine learning models and AI concepts
Experience with data modeling tools such as Erwin

Job Description

Senior Data Engineer (Informatica & PySpark) 

Position Title: Senior Data Engineer  

Location: Cleveland, OH or Pittsburgh, PA (3 days onsite)  

Visa Eligibility: GC, USC, H4 EAD, L2 EAD 

Job Duties:- 

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