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    Senior Data Engineer - Bengaluru, India - Consulting Pandits

    Consulting Pandits
    Consulting Pandits Bengaluru, India

    6 days ago

    Default job background
    Description

    Roles and Responsibilities :

    • Owning the design, operations and improvements for the Customer Data Warehouse infrastructure
    • Engineering solutions to aggregate and automate large scale data flows from varying sources
    • Collaborate with others to construct complex data sources for algorithms and machine learning models
    • Gather business requirements from business stakeholders and deliver a solution.
    • Participate in weekly status meetings to provide updates to stakeholders and provide a strategic plan for upcoming tasks.
    • Explore and learn the latest Azure technologies to provide new capabilities and increase efficiency
    • Build realtime streaming from internal and external sources to provide insights into the business
    • Help continually improve ongoing reporting and analysis processes, automating or simplifying selfservice support for customers.
    • Create and maintain workflow/technical documents for all the development activities

    Specific skills required are :

    • Experience in implementing data solutions in Azure including Azure SQL, Azure Synapse, Cosmos DB, Databricks.
    • Handson experience configuring Delta Lake on Azure Databricks.
    • Experience in designing data solutions in Azure including data distributions and partitions, scalability, disaster recovery and high availability.
    • Hands on Development or Architecture experience using Azure SQL or SQL DWH (synapse)
    • Knowledge of batch and streaming data architectures
    • Experience using big data technologies (Hadoop, Hive, HBase, Spark and others).
    • Strong knowledge of SQL (MSSQL or MySQL or PostgreSQL or Presto).
    • Demonstrated strength in data modeling, ETL development, and data warehousing
    • Handson experience in Data Engineering using Python.
    • Good knowledge of data lake optimization, partitioning, cron job scheduling and debugging.
    • Good knowledge of file formats like parquet, CSV and Hadoop file systems.

    General Requirements :

    • Bachelors or Master's Degree from a reputed college
    • 5+ Years of experience in the Data Engineering domain; Worked in the controlled yet agile setup using proven project management methodologies
    • Experience in all stages of DE project work (requirements and logical design, physical design,
    implementation, testing and deployment)

    • Experience communicating with senior management as well as with colleagues from engineering, analytics, and business backgrounds
    • Capable of performing under minimal supervision, multitasking, meeting deadlines as an individual contributor, and coaching a team.
    )
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