Senior Data Engineer (Informatica & PySpark)

Senior Data Engineer (Informatica & PySpark)

Position Title:

Senior Data Engineer Location:

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

Visa Eligibility:

L2

EAD 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.