Senior ETL Developer (DataStage, Azure Data Factory, Snowflake) - Hyderabad

7 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

ready to join immediately

CCTC | ECTC | Notice Period | Location Preference

nitin.patil@ust.com

Act fast for immediate attention! ⏳📩



Key Responsibilities:

  • Data Extraction:

    Extract data from diverse sources while ensuring accuracy and completeness.
  • Data Transformation:

    Perform data cleaning, validation, and apply business rules to transform raw data into a structured format for analysis.
  • Data Loading:

    Load transformed data into target systems and design efficient data models and workflows.
  • ETL Process Management:

    Design, develop, implement, and maintain ETL processes to integrate data efficiently into data warehouses or analytics platforms.
  • Performance Optimization:

    Optimize and tune ETL processes for performance improvements, monitor jobs, and troubleshoot production issues.
  • Data Quality and Governance:

    Ensure the quality, integrity, and compliance of data according to organizational and regulatory standards.
  • Collaboration & Documentation:

    Work with business stakeholders to understand data requirements, document ETL workflows, and ensure proper communication.
  • Tool-Specific Responsibilities:

  • Leverage

    DataStage

    for designing and building complex ETL jobs.
  • Use

    Azure Data Factory

    for scalable cloud-based integration and orchestration.
  • Develop and maintain solutions for

    Snowflake

    data warehousing.
  • Utilize

    SQL Server

    to manage data extraction and transformation processes.
  • Implement

    DataStage Sequencers

    , Parallel Jobs, Aggregators, Joins, Merges, Lookups, etc.
  • Provide support in resolving integration-related production issues following the change management process.
  • Key Focus:

    Ensuring efficient, accurate, and secure data flow for the organization’s data warehousing and analytics needs.

Must-Have Skills:

  • Education:

    Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
  • ETL Tools:

  • 7+ years

    of hands-on experience in

    DataStage (V8.5 or higher)

    .
  • Expertise in

    DataStage V11.3

    and

    8.7

    versions.
  • Strong experience in

    DataStage design and parallel jobs

    (e.g., Aggregator, Merge, Lookup, Source dataset, Change Capture).
  • Advanced knowledge of

    UNIX

    and

    shell scripting

    .
  • Azure Data Factory (ADF):

  • 3+ years

    of experience in designing, developing, and managing

    Azure Data Factory pipelines

    .
  • Proficient in using

    ADF connectors

    for integration with different data sources and destinations.
  • Experience in

    ADF Data Flows

    and pipeline orchestration.
  • Database & SQL:

  • 7+ years

    of experience in

    Microsoft SQL Server

    , including experience in writing and optimizing

    SQL queries

    .
  • 3+ years

    of experience in

    DB2 UDB Administration and Support

    .
  • Experience in creating and managing

    SQL Server Agent jobs

    and

    SSIS packages

    .
  • Hands-on experience in

    Data warehousing solutions

    and

    data modeling

    with SQL Server.
  • Data Quality & Governance:

    Ability to ensure high data integrity and governance throughout ETL processes.

Good to Have Skills:

  • Experience with

    Snowflake

    data warehouse solutions.
  • Familiarity with cloud-based ETL tools and technologies.
  • Knowledge of

    Kafka

    (Basic Understanding) for stream processing and integration.
  • Experience with

    Report Solution/Design

    and building

    automated reports

    using SQL Server and other reporting tools.
  • Experience with implementing

    Data Security

    and

    Compliance

    processes in ETL.

Role Requirements:

  • Problem-Solving Skills:

    Ability to troubleshoot issues related to ETL processes and data integration.
  • Collaboration:

    Ability to work effectively in a cross-functional team with business analysts, data engineers, and other stakeholders.
  • Attention to Detail:

    Strong focus on ensuring the accuracy and consistency of data throughout the ETL pipeline.
  • Communication:

    Excellent communication skills for documentation and reporting purposes.

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