Data Engineer - Datastage(Immediate Joiner)

5 - 7 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Title:

Experience Required:

Location:



Job Summary:

We are seeking a skilled and experienced Data Integration Engineer with strong expertise in IBM Datastage and Talend. The ideal candidate will be responsible for designing, developing, and maintaining ETL processes to support data warehousing and analytics initiatives. You will work closely with data architects, analysts, and business stakeholders to ensure high-quality data delivery and transformation.


Key Responsibilities:

  • Design, develop, and maintain ETL workflows using

    IBM Datastage

    and

    Talend

    .
  • Analyze business requirements and translate them into technical specifications.
  • Optimize ETL performance and troubleshoot issues in data pipelines.
  • Collaborate with data architects and business analysts to ensure data integrity and consistency.
  • Perform data profiling, cleansing, and transformation tasks.
  • Implement best practices for data integration, security, and governance.
  • Monitor and maintain ETL jobs and ensure timely data availability.
  • Document technical processes and provide support for production deployments.


Required Skills & Qualifications:

  • 5 to 7 years of hands-on experience in

    ETL development

    using

    IBM Datastage

    and

    Talend

    .
  • Strong understanding of

    data warehousing concepts

    ,

    data modeling

    , and

    ETL architecture

    .
  • Proficiency in

    SQL

    and working with

    relational databases

    (e.g., Oracle, SQL Server, PostgreSQL).
  • Experience with

    data quality

    ,

    data profiling

    , and

    metadata management

    .
  • Familiarity with

    cloud platforms

    (AWS, Azure, GCP) is a plus.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.


Preferred Qualifications:

  • Experience with

    Agile/Scrum methodologies

    .
  • Knowledge of

    Big Data technologies

    (e.g., Hadoop, Spark) is an advantage.
  • Exposure to

    CI/CD pipelines

    and

    DevOps practices

    for ETL deployments.


Education:

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

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