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    Data Engineer - Chennai, India - TIGI HR Solution Pvt. Ltd.

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    Description

    Job Title :
    Data Engineer.

    Experience : 3+ Years.


    Budget :
    Up to 14-15 LPA.


    Skills Required :

    • Expertise in at least one of the following: Snowflake, Talend, Databricks, Matillion, DBT.
    • Proficient in developing ETL processes including ETL control tables, error logging, and auditing.
    • Strong experience in writing ETL jobs using standard components.
    • Ability to develop new ETL jobs or modify existing ones based on requirements.
    • Capable of supporting and troubleshooting existing ETL jobs to prevent failures and suggest fixes.
    • Building and maintaining complex ETL and data pipelines for data loading and maintenance.

    Mandatory keywords :
    Python, PySpark, SQL, Azure, data pipeline, Data warehouse (e.g.
    Snowflake), ETL control.


    Responsibilities :

    • Design, develop, and maintain ETL processes and data pipelines to ensure smooth data flow and transformation.
    • Collaborate with stakeholders to understand data requirements and translate them into ETL workflows.
    • Implement best practices for ETL development, including error handling, logging, and performance optimization.
    • Monitor and troubleshoot ETL jobs for failures, performance issues, and data inconsistencies.
    • Work closely with the data engineering team to enhance existing ETL processes and implement new features.
    • Document ETL workflows, processes, and job dependencies for reference and future maintenance.

    Qualifications :

    • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
    • 3+ years of experience in data engineering with a focus on ETL development.
    • Strong proficiency in Python, PySpark, and SQL.
    • Experience with cloud platforms, especially Azure, and building data pipelines.
    • Knowledge of data warehouse concepts, preferably Snowflake.
    • Excellent problemsolving and analytical skills.
    • Ability to work independently and in a team environment.
    )

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