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    Job · 16394694

    HYDERABAD · FULLTIME

    Data Engineer

    Xevyte Technologies logo

    Xevyte Technologies

    Hyderabad · hybrid · Posted 43d ago

    Sourced fromNaukri
    Undisclosed3–8 yrsfulltimeHyderabad

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    Section · 01

    About this role

    HI All , We have openings for Data Engineer position for Hyderabad and Chennai Location


    Role & responsibilities

    Job Title: Data Engineer
    Position: Software Engineer
    Experience: 3-8 Years
    Category: Software Engineering
    Shift: 5.30PM to 2.30AM shift
    Work Mode: Hybrid Mode
    Primary Location: Chennai / Hyderabad

    Mandatory Skills : Data Engineer , Snowflake , AWS services , Databricks

    Job Description:


    Strong end to end data engineering experience.
    . Hands on expertise in Snowflake and/or Databricks with AWS.
    . Ability to design and implement scalable data engineering solutions.
    . Strong troubleshooting and performance optimization skills.
    . Ability to independently work with business and technicalstakeholders.
    . Experience mentoring junior data engineers is an advantage.

    Key Responsibilities :

    . Design, develop and maintain scalable data pipelines and data engineering solutions.
    . Develop data ingestion, transformation and processing workflows using cloud based technologies.
    . Work with Snowflake and Databricks to build and optimize data processing and analytical solutions.
    . Develop and maintain data pipelines using AWS Glue, S3 and Lambda.
    . Implement data transformation, cleansing, validation and integration processes.
    . Develop efficient SQL queries and optimize data processing and warehouse workloads.
    . Work with business and technical teams to understand data requirements and translate them into technical solutions.
    . Participate in solution design, development, testing and deployment activities.
    . Develop reusable components and follow established data engineering and coding standards.
    . Troubleshoot data pipeline and application issues and implement appropriate fixes.
    . Participate in code reviews, technical discussions and continuous improvement initiatives.
    . Support deployment and release activities across environments.
    . Monitor data pipelines and proactively identify issues affecting data processing or availability.
    . Provide support for production issues when required, including troubleshooting and root cause analysis.
    . Maintain technical documentation and operational procedures.

    Key Mandatory Skills :

    Data Engineering

    . Strong understanding of data engineering concepts, ETL/ELT and data pipelines.
    . Hands on experience with Snowflake and/or Databricks.
    . Experience building data pipelines and data transformation workflows.
    . Strong SQL skills.
    . Good understanding of data modelling and data warehousing concepts.

    AWS
    Hands on experience with one or more of the following:

    . AWS Glue
    . Amazon S3
    . AWS Lambda

    Experience with additional AWS data services will be an advantage.
    Databricks

    . Databricks data engineering
    . Data transformation and processing
    . Delta Lake
    . PySpark and/or Spark
    . Notebook based development

    Snowflake

    . Snowflake development
    . Data loading and transformation
    . SQL development
    . Data warehouse concepts
    . Performance optimization

    Interested please share the resumes to [email removed]



    Thanks & Regards

    Sridhar



    Sourced from naukri

    Section · 02

    Skills

    Data Engineeramazon web servicesDatabricksSnowflake

    Data Engineer · waiting for your command