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    Data Engineer - Delhi, India - SOFTGIC S.A.S.

    SOFTGIC S.A.S.
    SOFTGIC S.A.S. Delhi, India

    1 week ago

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    Description
    Job Description
    This is a remote position.

    At Softgic, we work with the sharpest minds, with those who build, with those who love what they do, with those who have a 100% in attitude, because that's our #Coolture.

    Join our purpose of making life easier with technology and be part of our team as Data Engineer.

    Responsibilities:

    • Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake and Azure Data Factory.
    • Implement data processing solutions with Azure Data Factory and Snowpipe for large-scale processing.
    • Develop and optimize SQL queries for data extraction, transformation, and loading.
    • Create and maintain star schema data models for business intelligence and reporting.
    • Conduct data analysis and validation to ensure accuracy and integrity.
    • Collaborate with data analysts to meet business data requirements.
    • Write and maintain SQL scripts for automation and integration tasks.
    • Utilize Sigma for data visualization and reporting.
    • Monitor and troubleshoot data pipelines for reliable data flow and performance.
    • Stay updated with trends and technologies in data engineering and analytics.
    Requirements



    Qualifications:
    Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

    5+ years of experience in data engineering or a related role.

    Proficiency in Snowflake and Azure Data Factory for data warehousing and ETL/ELT processes.

    Strong experience with Apache Spark for big data processing.

    Solid understanding of star schema data modeling and its application in data warehousing.

    Advanced SQL skills for data manipulation and query optimization.

    Knowledge in Python for scripting and data processing tasks a plus.

    Experience with data visualization tools.

    Preferred

    Qualifications:
    Experience with Snowflake and Azure cloud platform.

    Knowledge of other data modeling techniques and database management systems.

    Experience with machine learning and data science tools and frameworks.

    Experience with Sigma data visualization tools.

    C1 English level is a MUST.
    Benefits

    We ́re certified as a Great Place to Work.

    Opportunities for advancement and growth.

    Paid time off.

    Formal education and certifications support.

    Benefits with partner companies.

    Referral program.

    Flexible working hours.

    Requirements
    Data engineering ETL (Extract, transform, load) Python Snowflake Apache Spark Azure Data Factory Six Sigma SQL English - Native or fully fluent
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