Posted on: 14/10/2025
Job Description :
Key Responsibilities :
- Design, develop, and maintain data pipelines using Informatica DEI in a Hadoop and Azure Cloud Data Lake environment.
- Build and optimize large-scale data ingestion, transformation, and integration processes across diverse data sources.
- Collaborate with architecture, analytics, and business teams to deliver high-quality, scalable, and reliable data solutions.
- Integrate and orchestrate data workflows using Azure Data Lake, Azure Databricks, Azure Synapse, and Azure Stream Analytics.
- Develop and maintain shell scripts for automation, monitoring, and troubleshooting in Unix/Linux environments.
- Write efficient, well-tuned SQL and Hive queries for data extraction, validation, and reporting.
- Leverage Python or Scala for advanced data transformations and pipeline automation.
- Understand and manage Informatica repositories, services, and connectors for various data sources.
- Ensure adherence to data governance, security, and performance optimization standards.
- Work closely with QA and support teams to maintain production stability and reliability.
Qualifications & Experience :
- Must have Minimum 7+ years of exp in Informatica Data Engineering tool in Hadoop environment and Big Data Ecosystem.
- Must have Minimum 5+ years of experience in designing Data Pipeline in Azure Cloud Data Lake and Informatica Data Engineering.
- Must have a understanding of Azure Stack (Azure Data Bricks, Azure streaming Analytics & Azure Synapse).
- Must Have Unix knowledge for writing shell scripts and troubleshoot of existing shell scripts.
- Experience in any programming language like Python/Scala.
- Must have SQL knowledge of writing & tuning complex query/script in RDBMS/Hive.
- Understanding of informatica components/services/Repository.
- Good understanding of informatica different type of connectors.
- Experience in Financial & Banking domain will added advantage.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1560699
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