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    Job · 22367874

    Cargill India logo

    Data Engineer

    Cargill India · Bengaluru · onsite · Posted today

    Undisclosed4–9 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role


    Job Purpose and Impact

    We are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and platforms that enable reliable data ingestion, transformation, storage, and analytics. The ideal candidate will have strong expertise in cloud-based data engineering, ETL/ELT frameworks, data warehousing, and modern big data technologies

    Key Accountabilities
    • Design and develop scalable data ingestion and processing pipelines.
    • Build and maintain batch and real-time data integration solutions.
    • Develop ETL/ELT workflows to transform and load data from various source systems.
    • Design and optimize data models for analytics and reporting.
    • Ensure data quality, integrity, governance, and security standards are maintained.
    • Monitor, troubleshoot, and optimize data pipelines and workloads.
    • Collaborate with product owners, business stakeholders, architects, and data scientists to deliver data solutions.
    • Implement data observability, monitoring, and alerting mechanisms.
    • Support cloud migration and modernization initiatives.
    • Create and maintain technical documentation, data lineage, and operational runbooks.
    Qualifications

      • Have a Bachelor's degree with minimum 4 years of professional experience.
      • Experience with Snowflake, Databricks, Redshift, BigQuery, or Synapse.
      • Knowledge of Apache Kafka or other streaming technologies.
      • Experience with dbt and modern data stack tools.
      • Familiarity with DataOps and MLOps practices.
      • Understanding of data governance, metadata management, and data quality frameworks.
      • Cloud certifications (AWS, Azure, or GCP) are preferred
    • Technical Skills

      • Programming: Python, SQL, Scala, Java
      • Data Processing: Spark, Hive, Airflow
      • Cloud: AWS (S3, Glue, Lambda, EMR), Azure, GCP
      • Databases: SQL Server, Oracle, PostgreSQL, Snowflake
      • Streaming: Kafka, Kinesis
      • DevOps: Git, Jenkins, CI/CD
      • Data Modeling: Star Schema, Snowflake Schema, Data Vault




    Sourced from naukri

    Skills

    Data EngineerData lineageData ingestionApache Kafkacloud certificationsApacheamazon web servicesapache airflowbigqueryAnalyticsdata modelsData EngineeringcloudCloud MigrationData IntegrationData GovernanceMicrosoft AzureData ModelingBig Data

    About Cargill

    Cargill India logo

    Cargill India

    Food Processing

    3.5k+

    employees

    1865

    161 years old

    USA

    US

    ₹10.7L PA avg

    Avg at Cargill

    About

    Cargill is committed to providing food, ingredients, agricultural solutions, and industrial products to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living.Our 160,000 team members—including our 3,500+ colleagues in India—innovate with purpose, providing customers with life’s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing—today and for generations to come. For more information, visit Cargill.com and our News Center.In India, we have a strong presence of skilled professionals, primarily based in our Bengaluru and Gurugram offices, contributing across the following core areas:• Finance• Information Technology• Transport & Logistics• Strategic Sourcing & Procurement• Trade Execution• Human Resources

    Industries

    Food ProcessingAgricultureConsumer goodsFinancial ServicesManufacturingBPO

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