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    Lead Azure Databricks Engineer - Bangalore, India - VIDPRO CONSULTANCY SERVICES

    VIDPRO CONSULTANCY SERVICES
    VIDPRO CONSULTANCY SERVICES Bangalore, India

    20 hours ago

    Default job background
    Technology / Internet
    Description

    Primary Roles and Responsibilities :

    • Developing Modern Data Warehouse solutions using Databricks and AWS/ AzureStack.
    • Ability to provide solutions that are forwardthinking in data engineering and analytics space.
    • Collaborate with DW/BI leads to understand new ETL pipeline development requirements.
    • Triage issues to find gaps in existing pipelines and fix the issues.
    • Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs.
    • Help joiner team members to resolve issues and technical challenges.
    • Drive technical discussion with client architect and team members.
    • Orchestrate the data pipelines in scheduler via AirflowSkills.

    Qualifications :

    • Bachelor's and/or master's degree in computer science or equivalent experience.
    • We are looking for 5+ to 15 Years of experience as Azure Data Engineer.

    Mandatory skills :
    Azure Databricks, Azure Data Factory, Azure Data Lake, Python, Pyspark, SQL.

    • Deep understanding of Star and Snowflake dimensional modeling.
    • Strong knowledge of Data Management principles.
    • Good understanding of Databricks Data & AI platform and Databricks DeltaLake Architecture.
    • Should have handson experience in SQL, Python And Spark (PySpark).
    • Candidate must have experience in AWS/ Azure Stack.
    • Desirable to have ETL with batch and streaming(Kinesis).
    • Experience in building ETL / data warehouse transformation processes.
    • Experience with Apache Kafka for use with streaming data / eventbased data.
    • Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala).
    • Experience with Open Source nonrelational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J).
    • Experience working with structured and unstructured data including imaging & geospatial data.
    • Experience working in a Dev/Ops environment with tools such as Terraform,CircleCI, GIT.
    • Proficiency in RDBMS, complex SQL, PL/SQL,Unix Shell Scripting, performance tuning and troubleshoot.
    • Databricks Certified Data Engineer Associate / Professional Certification (Desirable).
    • Comfortable working in a dynamic, fastpaced, innovative environment with several ongoing concurrent projects.
    • Should have experience working in Agile methodology.
    • Strong verbal and written communication skills.
    • Strong analytical and problemsolving skills with a high attention to detail.

    Mandatory Skills:
    Python/ PySpark / Spark with Azure/ AWS Databricks.
    )
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