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    Technical Lead - New Brunswick, United States - Tata Consultancy Services

    Tata Consultancy Services
    Tata Consultancy Services New Brunswick, United States

    2 weeks ago

    Tata Consultancy Services background
    Description
    Job Title

    DatabricksTechnical Lead

    Relevant Experience

    (inYrs)

    10+

    Must Have Technical/Functional Skills

    Certification:Databricks certified Data Engineer Professional, SQL, Azure data Engineer,Python

    PrimarySkillset:
    • Apache Spark: Strongunderstanding and hands-on experience with Apache Spark, including SparkSQL, Spark Streaming.
    • Databricks: Proficiency inusing Azure Databricks, including setting up and managing clusters,notebooks, and jobs.
    • Python and SQL: Strongprogramming skills in either Python and SQL as these are the primarylanguages used for writing Spark applications.
    • Data Processing and Analysis:Experience in designing and implementing data processing and analysispipelines using Spark and Databricks.
    • Distributed Computing:Knowledge of distributed computing concepts and experience withdistributed computing frameworks like Spark.
    • Cloud Platform: Familiaritywith Azure cloud platform and its services, including Azure DataFactory, Azure access, Azure Storage, Azure Data Lake, and Azure SQLDatabase.
    • Data Engineering: Understandingof data engineering concepts and experience with ETL processes, datamodeling, and data warehousing.
    • DevOps: Experience with CI/CDpipelines, version control systems (e.g., Git), and automated deploymentof Spark applications.
    • Performance Optimization:Ability to optimize Spark applications for performance and scalability,including tuning Spark configurations and leveraging Sparkoptimizations.
    • Data Security and Governance:Understanding of data security and governance practices, including dataencryption, access controls, and compliance regulations.
    • Monitoring and Troubleshooting:Proficiency in monitoring and troubleshooting Spark applications,identifying and resolving performance bottlenecks or issues.
    • Collaboration andCommunication: Excellent communication skills and the ability tocollaborate effectively with cross-functional teams, including datascientists, data engineers, and business stakeholders.
    SecondarySkillset:
    • Machine Learning: Familiaritywith machine learning concepts and experience with implementing machinelearning algorithms using Spark MLlib or other machine learningframeworks.
    • Data Visualization: Kn owledgeof data visualization tools and libraries like Matplotlib, Plotly, PowerBI or Tableau for presenting insights derived from data analysis.
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