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    Data Architect - Bloomington, United States - PamTen

    PamTen
    PamTen Bloomington, United States

    3 weeks ago

    Default job background
    Description
    • 15+ yearsof experience in the IT/Technology and having at least 3+ years of experience in Azure/Databricks
    • Design and architect Databricks-based solutions that align with business objectives, ensuring scalability, performance, and security.
    • Designed, Development and implemented Datamesh using DeltaLake.
    • Provide technical leadership and guidance to the Databricks development team, ensuring best practices are followed throughout the project lifecycle.
    • Collaborate with cloud infrastructure teams to design and optimize the underlying infrastructure for Databricks workloads on platforms such as AWS or Azure
    • Develop efficient data ingestion and ETL pipelines using Databricks, Apache Spark, and other relevant technologies.
    • Integrate Databricks with data lakes and data warehouses to ensure seamless data access and analytics.
    • Continuously monitor and optimize Databricks workloads for performance and cost-effectiveness.
    • Implement and maintain security measures, including access controls, encryption, and compliance standards, to protect sensitive data.
    • Create documentation and provide training to internal teams on Databricks best practices and usage.
    • Stay up-to-date with the latest developments in Databricks and related technologies to recommend and implement improvements.
    • Good knowledge on SQL Queries & Stored Procedures.
    • Strong programming skills in Pyspark, Python, writing complex queries in T-SQL
    • Experience in transferring data from RDBMS to Data bricks using ADF.
    • Expertise in using Spark SQL with various data sources like JSON, Parquet and XML.
    • Experience in creating tables, partitioning, bucketing, loading and aggregating data using Spark SQL/Python.
    • Experience with Insurance Domain
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