IBM Data Stage professionals

5 - 10 years

8 - 12 Lacs

Posted:1 day ago| Platform: Naukri logo

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Work Mode

Work from Office

Job Type

Full Time

Job Description

Criteria:


  • Work setup: 5 days a week from the office (inside the ODC room)


  • Shift timing: 1:00 PM 10:00 PM



Requires a Bachelors in Computer Science, Computer Engineering, or related field.

5+ years of experience as a Data Engineer.

1+ years of experience in production support.

Provide production support for all ETL jobs and data workflows built on IBM DataStage.

Monitor production ETL processes using scheduling and monitoring tools to proactively identify and prevent potential failures.

Respond to and resolve production incidents, job failures, and data discrepancies within defined Service Level Agreements (SLAs).

Perform Root Cause Analysis (RCA) for recurring or critical issues and implement permanent fixes or preventative measures.

Execute immediate workarounds and manual restarts/reruns of DataStage jobs as necessary to minimize data load delays.

Participate in an on-call rotation to address critical production issues outside of normal business hours.

Experience with Data Warehousing, Operational Data Store, Data technologies and ETL solutions.

4+ years of experience in ETL (IBM Datastage), SQL, UNIX/Linux scripting, and Big Data distributed systems

. 4+ years of experience working with Teradata (Vantage), SQL Server, Greenplum, Hive and delimited text files would be helpful

. 3+ years of experience in programming languages like Python, orchestration tools and processes

. Experience in building ETL pipelines using Python pandas

. Extensive experience in data migration, data analysis, data transformations,conversion, interface, large volume data loading (ETL techniques), database modeling, and performance SQL tuning.

Experience in leveraging database tools to develop DDL scripts, stored procedures, and functions to create and alter database objects.

Hands-on experience with Git version control processes, and other release processes

Exposure in RDD s with Python/Scala using Spark framework.

Secondary Skills:

Delivering all aspects of the software development lifecycle, including design, coding, integration testing, deployment, operations support, and documentation using Agile methodologies.

Also, able to work independently, collaborate with cross-functional teams on technical understanding, handle multiple concurrent projects, with an ability to prioritize and manage projects effectively with changing priorities. delivering all aspects of the software development lifecycle, including design, coding, integration testing, deployment, operations support, and documentation using Agile methodologies. Also, able to work independently, collaborate with cross-functional teams on technical understanding, handle multiple concurrent projects, with an ability to prioritize and manage projects effectively with changing priorities

Ibm Data Stage, Production Support, Pythonnan

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