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    Data Engineer - Pune, India - HyrEzy Talent Solutions

    HyrEzy Talent Solutions
    HyrEzy Talent Solutions Pune, India

    1 week ago

    Default job background
    permanent Technology / Internet
    Description

    Job Description and Responsibilities :

    • Solicit business, functional, non-functional and technical requirements through interviewing and requirements gathering process.
    • Analyze and document above requirements and data definitions, perform data analysis, assist in change management, training and testing efforts.
    • Works with stakeholders to gather requirements on merging, de-duplicating, standardizing data.
    • Develop, support, and refine new data pipelines, data models, business logic, data schemas as code, and analytics to product specifications.
    • Prototype and optimize data type checks to ensure data uniformity prior to load.
    • Develop, and refine batch processing data pipeline frameworks.
    • Maintain, improve, and develop expertise in existing production data models, and algorithms.
    • Learn and utilize business data domain knowledge and its correlation to underlying data sources.
    • Define, document, and maintain a data dictionary including data definitions, data sources, business meaning and usage of information.
    • Identify and validate opportunities to reuse existing data and algorithms.
    • Collaborate on design and implementation of data standardization procedures.
    • Share team responsibilities, such as contributing to development of data warehouses and productizing algorithms created by Data Science team members.
    • Participate in on-call and weekly shift rotation.
    Skills Set :
    • 4 - 6 years of experience building data pipelines and using ETL tools(Must-have).
    • 2+ years of experience in ETL tools like Talend /Jaspersoft ETL tools(Must-have) .
      2+ years of experience in SQL programming language (Must-have) .
    • Strong in writing stored procedures and sql queries(Must-have).
    • 2+ years of experience in python programming (Must-have) .
    • Sound knowledge of distributed systems and data processing with spark.
    • Knowledge of any tool for scheduling and orchestration of data pipelines or workflows (preferred Airflow)(must to have)
    • 1+ years experience developing modern, industry standard big data frameworks with AWS or other cloud with common GitHub developer practices and paradigms.
    • Experience working with agile methodologies and cross-functional teams.
    • Knowledge in building AWS data pipelines using python, S3 data lake(nice to have).
    • Knowledge of redshift or any other columnar database is preferred.
    • Experience with AWS services including S3, Redshift, EMR (nice to have)
    • Knowledge of distributed systems as it pertains to data storage and computing
    • Knowledge of specialty pharmaceutical and retail pharmacy is a plus.
    • Good to have knowledge of the Data integration process.
    • Ability to effectively communicate with both business and technical teams
    Professional Approach :
    • Excellent verbal, written communication.
    • Flexible with the working timing.
    Required Qualification : Bachelor of Engineering - Bachelor of Technology (B.E./B. Tech.) )
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