Senior Data Engineer

Senior Data Engineer (Informatica & PySpark) Position Title: Senior Data Engineer Location: Cleveland, OH or Pittsburgh, PA (3 days onsite) Job Duties:-

• Experience: 8-10 years in Data Engineering and Data Analysis
• Informatica Expertise: Strong hands-on experience in Informatica PowerCenter/IDQ for ETL design, development, and optimization
• PySpark Development: Advanced skills in PySpark for large-scale data processing, transformation, and analytics
• Hadoop Ecosystem: Solid working knowledge of Hadoop technologies (HDFS, Hive, Sqoop, MapReduce)
• Programming Skills: Proficiency in Python and Kafka for streaming and batch data pipelines
• Database & Modeling: Strong understanding of database concepts, data design, data modeling, and ETL workflows
• ETL Lifecycle: Experience in analyzing, designing, and coding ETL programs including data extraction, ingestion, quality checks, normalization, and loading
• Agile Delivery: Hands-on experience with Agile methodology and Jira for project delivery
• Client Interaction: Proven ability in client-facing roles with strong communication and leadership skills to coordinate across SDLC
• Preferred Skills:
• Exposure to AWS data components and analytics
• Familiarity with machine learning models and AI concepts
• Experience with data modeling tools such as Erwin
  
  

Qualifications

• Master's or Bachelor's degree in Computer Science or related field
• Strong problem-solving skills and ability to work in cross-functional teams