Data Engineer

7 months ago

Pune, India HyrEzy Talent Solutions Full time

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.)

(ref:hirist.tech)

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