Senior Data Engineer; Informatica & PySpark
Listed on 2026-10-23
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IT/Tech
Data Engineering, Data Analyst, Data Science Manager, Data Warehousing
Job Description
Job Duties:
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Experience:
8–10 years in Data Engineering and Data Analysis.
• Informatica Expertise:
Strong hands-on experience in Informatica Power Center/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, Map Reduce).
• 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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