Informatica PowerCenter

2 - 6 years

4 - 7 Lacs

Posted:1 month ago| Platform: Foundit logo

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Skills Required

IDQ (Data Quality) snowflake schemas

Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities:

  • Design, develop, test, and deploy

    ETL workflows and mappings

    using

    Informatica PowerCenter

    .
  • Perform data extraction, transformation, and loading from various sources (RDBMS, flat files, XML, cloud sources).
  • Optimize ETL performance through pushdown optimization, partitioning, and tuning transformations.
  • Collaborate with data architects, analysts, and business users to understand requirements and translate them into ETL solutions.
  • Implement error handling, logging, and data validation processes.
  • Maintain documentation for ETL design, mappings, workflows, and data dictionaries.
  • Troubleshoot data issues, resolve production problems, and support data reconciliation.
  • Integrate with

    relational databases

    such as

    Oracle, SQL Server, PostgreSQL

    , and

    cloud databases

    .
  • Work with

    job schedulers

    like

    Control-M

    ,

    Tivoli

    , or

    Autosys

    to manage ETL job execution.

Qualifications & Skills:

Essential:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
  • 3+ years of hands-on experience with

    Informatica PowerCenter

    development.
  • Proficient in

    ETL design principles

    , data cleansing, and transformation logic.
  • Strong SQL skills for querying, data analysis, and performance tuning.
  • Experience with

    data warehousing concepts

    ,

    star/snowflake schemas

    , and

    dimensional modeling

    .

Desirable:

  • Exposure to

    Informatica Cloud

    ,

    IDQ (Data Quality)

    , or

    MDM

    .
  • Experience with

    Unix/Linux shell scripting

    and automation.
  • Familiarity with

    data governance

    ,

    data lineage

    , and

    metadata management

    .
  • Knowledge of

    cloud platforms

    (AWS, Azure, GCP) and

    cloud data sources

    (e.g., S3, Redshift, BigQuery).
  • Basic understanding of

    Agile methodologies

    and tools like

    JIRA

    .

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