Job Description – Data Engineer (Informatica, Cloudera & Spark)
Position Details
Role: Data Engineer – Informatica, Cloudera & Spark
Job Type : Contract 2 hire

Location: Pune / Nagpur
Experience: 8+ Years
Work Mode: Work From Office
About the Role
We are seeking a skilled Data Engineer with strong expertise in Informatica, Cloudera, and Apache Spark to join our Data Engineering team. The ideal candidate will have hands-on experience in ETL development, big data technologies, and enterprise-scale data processing pipelines. This role involves designing, developing, optimizing, and supporting robust data integration solutions across on-premises and cloud-based environments.
Key Responsibilities
Design, develop, and maintain ETL pipelines using Informatica.
Build and support data processing workflows within the Cloudera/Hadoop ecosystem.
Develop, optimize, and troubleshoot Apache Spark/PySpark applications.
Perform data extraction, transformation, and loading (ETL/ELT) from multiple data sources.
Write effective SQL queries for data transformation, validation, and reporting.




Monitor production ETL and Spark jobs, ensuring reliability and performance.
Identify, analyze, and resolve data quality, performance, and pipeline-related issues.
Support batch data processing and enterprise data integration workflows.
Collaborate with business and technical stakeholders to understand requirements and deliver scalable solutions.
Conduct unit testing, debugging, deployment, and production support activities.
Create and maintain technical documentation for data pipelines, processes, and workflows.
Follow data engineering best practices, coding standards, and governance guidelines.
Required Skills & Experience
5+ years of experience in Data Engineering, ETL Development, or related roles.
Strong hands-on experience with Informatica (PowerCenter/BDM preferred).
Experience working with Cloudera and Hadoop ecosystem components.
Strong expertise in Apache Spark and PySpark development.
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📌 Senior Data Engineer – Informatica, Cloudera (India)
🏢 Dreampath Services
📍 India