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ETL Developer

Roles & Responsibilities

  • Minimum 5-7 years of experience in ETL technologies such as ADF, AWS Glue, DBT, Talend.
  • At least 3 years of experience working with DBT.
  • At least 2 years of experience with Snowflake and/or Redshift.
  • Proficiency in SQL, SnowSQL, and cloud technologies like AWS, Azure, and Google Cloud.

Requirements:

  • Design and develop ETL processes and data mappings.
  • Manage ETL team tasks and deadlines.
  • Create and maintain documentation for ETL projects.
  • Perform system upgrades, maintenance, and troubleshooting.

Job description

Primary Skills :
  • SnowSQL, SQL, Data Build Tool, Amazon Redshift, AWS Glue, Snowflake
    • Secondary Skills :
      • Talend Software, Azure Data Factory

        • Minimum work experience of 57 in ETL technologies ADF, AWS Glue, DBT, Talend, etc.,
          • At least 3 years experience in DBT
          • At least 2 years experience in Snowflake andor Redshift
          • Handson experience in cloud technologies Google, Azure, and AWS. AWS Cloud preferred
          • Responsible for creating sourcetotarget mappings, highlevel design, and detailed designing of level documents
          • Ability to perform ETL troubleshooting and test ETL applications
          • Experience in writing complex SQL queries
          • Experience in Data Migration Projects
          • Strong Experience in building SnowSQL queries
          • Strong in GitHub – CICD process
          • Should be able to work as an independent team member and be able to respond to technical queriesrequests from team members and clients
          • Ability to prioritize and execute tasks in a highpressure environment

            • Roles and Responsibilities:
              • 1) Responsible for automation of the processes process of impact analysis, remediationrelated changes, validations etc.
              • 2) Responsible for managing tasks and deadlines for the ETL team.
              • 3) To get the Functional Requirement Specifications from the customer and understand the same.
              • 4) Highlevel & lowlevel ETL flow design
              • 5) Creating ETL protocols and database objects
              • 6) Create and maintain adequate documentation of project ETL design, technical artifacts, and ETL environment.
              • 7) Working on upgrades & system maintenance
              • 8) Developing complex mappings and load data from different sources
              • 9) Data Modelling


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