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    Analytics & Data Engineer - SQL/ETL/Python - Gurgaon/Gurugram, India - CRESCENDO GLOBAL LEADERSHIP HIRING INDIA PRIVATE L

    CRESCENDO GLOBAL LEADERSHIP HIRING INDIA PRIVATE L
    CRESCENDO GLOBAL LEADERSHIP HIRING INDIA PRIVATE L Gurgaon/Gurugram, India

    2 days ago

    Default job background
    permanent Technology / Internet
    Description
    Role :
    Analytics and Data Engineer - SQL| Python| ETL, 6+ years, Gurgaon


    We are seeking an experienced Analytics & Data Engineering professional to join our team and spearhead data initiatives.

    As a key player in our organization, you will collaborate directly with client leadership to shape the vision and roadmap of their Data, Analytics & Insights team.

    If you are a data engineer with required skill set, then this opportunity is for you.

    Location : Gurgaon (Hybrid)

    Your Future Employer : Global analytics and digital solutions company, headquartered in New York, serving industries including insurance, healthcare, banking and financial services, media, retail, and others.

    Responsibilities :


    • Responsible for data engineering and analytics projects for our retail client
    • Contributing to their growth strategy across business, customer, and marketing analytics.
    • Developing and maintaining scalable and efficient data pipelines, addressing any issues or bottlenecks.
    • Engaging proactively with client to support their datadriven vision and business objectives.
    • Establish yourself as a trusted advisor in shaping business strategy based on data insights.
    • Mentoring and advising the team on best practices in data engineering and analytics techniques.
    • Implementing robust data checks to ensure accuracy and integrity of data.
    Requirements :


    • Bachelor's degree in computer science, Information Technology, or related field.
    • 6+ years of experience in managing data engineering projects, with a proven track record of success.
    • Proficiency in SQL, data environments (e.g., Big Query, Google Analytics, Snowflake), and data transformation tools (Python).
    • Strong understanding of ETL data pipelines, including integration with APIs and databases.
    • Handson experience with Google Analytics tools and cloudbased Data Warehousing solutions (Snowflake and/or Google Cloud).
    • Familiarity with Cron job scheduler and Data Vault modeling is a plus.
    • Experience in collaborating with client's Google Analytics partner agencies.
    • Excellent communication and interpersonal skills
    What is in for you :

    • A stimulating working environment with equal employment opportunities.
    • Growing of skills while working with industry leaders and top brands.
    • A meritocratic culture with great career progression.
    Profile Keywords : Analytics Data, Engineering, Retail, SQL, Python, Big Query, Snowflake, Google Analytics, ETL, Data Warehousing
    )


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