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Senior Data Engineer (Informatica & PySpark)

linkedinAkron, OHSenior L5
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: o Exposure to AWS data components and analytics.o Familiarity with machine learning models and AI concepts.o 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.
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Level

Senior L5

Location

Akron, OH

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Industry

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Posted

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