Jobs

    Data Engineer - Bangalore, India - promaynov Advisory Services

    promaynov Advisory Services
    promaynov Advisory Services Bangalore, India

    1 week ago

    Default job background
    permanent Technology / Internet
    Description

    Location : Bangalore

    Notice Period : Immediate to 30 Days

    Experience : 5 to 8 Years

    Duties :

    Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions; tolerance in dealing with bad quality data.

    Distinct customer focus and quality mindset.

    Ability to work at an abstract level and gain consensus.

    Ability to see from and sell to multiple viewpoints.

    Excellent interpersonal, leadership and communication skills and the ability to work both independently and in various team settings.

    Ability to work under pressure with a solid sense for setting priorities.

    Ability to manage own learning and contribute to domain knowledge building

    Skills :

    - 5-7 years of experience as a Data engineer with extensive working experience using Pyspark, Advanced SQL, Snowflake, complex understanding of SQL and Skills, Spark, Snowflake and Glue.

    - AWS expertise in Lambda, Glue and S3

    - Experience in software development, CI/CD, Agile methodology

    - Experienced on Big Data platform like Hadoop, hbase, CouchDB, hive, Pig etc.

    - Worked with TeraData, Oracle, MySQL, Tableau, QlikView or similar reporting and BI packages.

    - Used SQL, PL/SQL and similar languages, UNIX shell scripting.

    - Experienced with data modeling, design patterns, building highly scalable and secured solutions.

    - Knowledge of agile software development process and familiarity with performance metric tools.

    - Experience working with JSON, yaml, xml etc.

    Education :

    Bachelor's degree in Computer Science, Information Technology, or a related field. A master's degree in a relevant field is preferred.

    Location : Bangalore

    Required :

    - Root Cause Analysis

    Finance

    Data Management

    Metadata

    Big Data

    Additional :

    Data Warehousing

    Process Design

    Etl, Data Governance

    Python

    Metrics

    Data Pipelines

    Database Modeling

    Problem-solving

    Documentation

    Master Data Management

    Informatica

    Data Modeling

    Application Development

    Data Quality

    )
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