Senior Data Engineer
Qode•Ohio, OH
•Hybrid
About The Position
This is a full-time Senior Data Engineer position with a focus on Informatica and PySpark. The role is based in Cleveland, OH or Pittsburgh, PA, and requires 3 days of onsite work.
Requirements
- 8–10 years in Data Engineering and Data Analysis
- Strong hands-on experience in Informatica PowerCenter/IDQ for ETL design, development, and optimization
- Advanced skills in PySpark for large-scale data processing, transformation, and analytics
- Solid working knowledge of Hadoop technologies (HDFS, Hive, Sqoop, MapReduce)
- Proficiency in Python and Kafka for streaming and batch data pipelines
- Strong understanding of database concepts, data design, data modeling, and ETL workflows
- Experience in analyzing, designing, and coding ETL programs including data extraction, ingestion, quality checks, normalization, and loading
- Hands-on experience with Agile methodology and Jira for project delivery
- Proven ability in client-facing roles with strong communication and leadership skills to coordinate across SDLC
Nice To Haves
- Exposure to AWS data components and analytics
- Familiarity with machine learning models and AI concepts
- Experience with data modeling tools such as Erwin
Responsibilities
- Analyzing, designing, and coding ETL programs including data extraction, ingestion, quality checks, normalization, and loading.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
