Data Engineer

4 days ago

Hyderabad, Telangana, India Anblicks Full time US$ 90,000 - US$ 1,20,000 per year

Job Title:
Datastage/Talend Engineer

Experience Required:
5 to 7 Years

Location:
Hyderabad

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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