Senior Data Engineer - Kolkata - Zorba Consulting

    Zorba Consulting
    Zorba Consulting Kolkata

    5 days ago

    Full time ₹2,200,000 - ₹4,500,000 (INR) per year *
    Description

    Key Responsibilities:

    • Dataiku Leadership: Lead data engineering initiatives focusing on leveraging Dataiku's capabilities for data preparation, analysis, visualization, and deploying data-driven solutions.
    • Data Pipeline Development: Design, develop, and optimize scalable and robust data pipelines to support business intelligence and advanced analytics projects, including automation of ETL/ELT processes from diverse data sources.
    • Data Modeling & Architecture: Apply best practices in data modeling (dimensional, Kimball, Inmon) to create efficient, scalable database architectures ensuring data integrity and performance.
    • ETL/ELT Expertise: Implement, manage, and optimize ETL/ELT workflows using various tools to maintain reliable, high-quality data flow and accessibility.
    • Gen AI Integration: Explore and implement solutions using LLM Mesh or similar frameworks to integrate Generative AI capabilities into data engineering processes.
    • Programming & Scripting: Use Python and SQL extensively for data manipulation, automation, and development of custom data solutions.
    • Cloud Platform Deployment: Deploy and manage scalable data solutions on AWS or Azure cloud platforms, leveraging cloud services for performance and cost efficiency.
    • Data Quality & Governance: Ensure integration of data sources maintains high-quality, consistent, and accessible data; implement and follow data governance best practices.
    • Collaboration & Mentorship: Work closely with data scientists, analysts, and other stakeholders to translate data requirements into effective solutions; mentor junior team members when needed.
    • Performance Optimization: Monitor and optimize data pipeline and system performance continuously to meet business needs.

    Required Skills & Experience:

    • Proficiency in Dataiku for data prep, visualization, and building end-to-end data pipelines and applications.
    • Strong expertise in data modeling techniques such as dimensional modeling (Kimball, Inmon).
    • Extensive experience with ETL/ELT tools and processes (e.g., Dataiku built-in tools, Apache Airflow, Talend, SSIS).
    • Familiarity with LLM Mesh or similar Generative AI frameworks.
    • Advanced skills in Python programming and SQL querying for data manipulation and automation.
    • Hands-on experience with cloud platforms like AWS or Azure for scalable data deployments.
    • Understanding of Generative AI concepts and potential applications.
    • Excellent analytical, problem-solving, communication, and interpersonal skills.

    Bonus Skills (Nice to Have):

    • Experience with big data technologies such as Spark, Hadoop, Snowflake.
    • Knowledge of data governance and security best practices.
    • Familiarity with MLOps principles and tools.
    • Contributions to open-source projects in data engineering or AI.

    Education:

    • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.
    * This salary range is an estimation made by beBee
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