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Sr Data Engineer

Full-time

Ilink Digital

Job Summary <\/b>
<\/p>

We are seeking a highly skilled Databricks Engineer with
AI/ML experience <\/b> to design, build, and optimize scalable data and machine
learning platforms on Databricks. The role involves end -to -end ownership of
data pipelines, ML workflows, and production AI systems.
<\/p>

Key Responsibilities <\/b>
<\/p>

  • Design
    and implement scalable ETL pipelines using Databricks & Spark
    <\/li>
  • Build
    Lakehouse architecture using Delta Lake
    <\/li>
  • Develop
    and deploy ML models using MLflow
    <\/li>
  • Implement
    MLOps pipelines for training, testing, and serving models
    <\/li>
  • Optimize
    cluster performance and reduce compute cost
    <\/li>
  • Build
    RAG and LLM -based solutions using Mosaic AI
    <\/li>
  • Integrate
    analytics with BI tools (Power BI, Tableau)
    <\/li>
  • Implement
    data governance using Unity Catalog
    <\/li>
  • Collaborate
    with Data Scientists and Business teams
    <\/li>
  • Ensure
    data quality, security, and compliance
    <\/li><\/ul>

    Required Skills <\/b>
    <\/p>

    Mandatory <\/b>
    <\/p>

    • 5+
      years of Databricks & Apache Spark
      <\/li>
    • Strong
      Python & PySpark
      <\/li>
    • Experience
      with Delta Lake & Lakehouse
      <\/li>
    • MLflow
      & MLOps experience
      <\/li>
    • Cloud
      platform (AWS/Azure/GCP)
      <\/li>
    • Git
      & CI/CD
      <\/li><\/ul>

      Preferred <\/b>
      <\/p>

      • Experience
        with LLMs & Generative AI
        <\/li>
      • RAG
        pipelines & Vector Databases
        <\/li>
      • Deep
        Learning frameworks
        <\/li>
      • Databricks
        certifications
        <\/li>
      • Power
        BI integration
        <\/li><\/ul>

         
        <\/p>


        <\/div><\/span>

        Requirements <\/h3>

        Job Summary <\/b>
        <\/p>

        We are seeking a highly skilled Databricks Engineer with
        AI/ML experience <\/b> to design, build, and optimize scalable data and machine
        learning platforms on Databricks. The role involves end -to -end ownership of
        data pipelines, ML workflows, and production AI systems.
        <\/p>

        Key Responsibilities <\/b>
        <\/p>

        • Design
          and implement scalable ETL pipelines using Databricks & Spark
          <\/li>
        • Build
          Lakehouse architecture using Delta Lake
          <\/li>
        • Develop
          and deploy ML models using MLflow
          <\/li>
        • Implement
          MLOps pipelines for training, testing, and serving models
          <\/li>
        • Optimize
          cluster performance and reduce compute cost
          <\/li>
        • Build
          RAG and LLM -based solutions using Mosaic AI
          <\/li>
        • Integrate
          analytics with BI tools (Power BI, Tableau)
          <\/li>
        • Implement
          data governance using Unity Catalog
          <\/li>
        • Collaborate
          with Data Scientists and Business teams
          <\/li>
        • Ensure
          data quality, security, and compliance
          <\/li><\/ul>

          Required Skills <\/b>
          <\/p>

          Mandatory <\/b>
          <\/p>

          • 5+
            years of Databricks & Apache Spark
            <\/li>
          • Strong
            Python & PySpark
            <\/li>
          • Experience
            with Delta Lake & Lakehouse
            <\/li>
          • MLflow
            & MLOps experience
            <\/li>
          • Cloud
            platform (AWS/Azure/GCP)
            <\/li>
          • Git
            & CI/CD
            <\/li><\/ul>

            Preferred <\/b>
            <\/p>

            • Experience
              with LLMs & Generative AI
              <\/li>
            • RAG
              pipelines & Vector Databases
              <\/li>
            • Deep
              Learning frameworks
              <\/li>
            • Databricks
              certifications
              <\/li>
            • Power
              BI integration
              <\/li><\/ul>

               
              <\/p>


              <\/div><\/span>

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