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Senior Data Engineer (ETL)

Job Category: Engineering
Job Experience: 5+ years
Job Type: Full Time
Job Location: Work From Anywhere
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GrowExx is looking for a smart and passionate Senior Data Engineer (ETL), who will design and fill a bespoke data warehousing environment for our company.

Key Responsibilities:

  • Overall responsible for the Implementation of the Tasks allocated during the sprint 
  • Ensure the software is developed confirming the project architecture, coding standards, and NFRs 
  • To analyze the User Requirements, NFRs, and Technical requirements for the project 
  • Identify any unknowns i.e. missing scenarios, etc, and consult with PO to ensure those are defined either as a User story or UAC 
  • Identify ways to implement stories and select the approach that is best suited for the project.
  • Consult with L3 as required 
  • Break down user stories along with the team to identify technical tasks 
  • Provide detailed estimates before the start of the sprints. Need to work with the Team to get the estimates 
  • Proactively pre-plan the sprints to achieve 90+% confidence in delivery 
  • Create Technical documents as required for the project in Jira, Confluence, or other tools 
  • Provide POs and ADMs with daily updates of the team via Jira and Slack 
  • Proactively communicate with other members of the team 
  • Provide HR and Management with any relevant information to help improve organization culture & performance

Key Skills:

  • Strong proficiency in SQL is a must 
  • Good to have experience with Python, especially with Python-pandas 
  • Understanding of the underlying storage engines and how data is maintained 
  • Experience with ETL solutions like Informatica, SSIS, and Talend is a plus 
  • Familiarity with other SQL/NoSQL databases is a plus 
  • Experience with Snowflake and Apache Kafka is preferred. 
  • Experience with Apache Storm/Spark is mandatory. 
  • Proficient understanding of code versioning tools (Git/SVN/SourceSafe) 
  • Ability to create scripts for automation purposes 
  • Strong knowledge of Elastic (preferred) 
  • Must have experience with Cloud Platforms like AWS/GCP.
  • Knowledge of Kubernetes and Docker would be added advantage 
  • Determines data storage needs 
  • Creates and enhances data solutions enabling seamless delivery of data and is responsible for collecting, parsing, managing, and analyzing large sets of data 
  • Design develop, automates, and support complex application to extract, transform, and load data 
  • Ensure data quality 
  • Develops logical and physical data flow models for ETL applications 
  • Translate data access, transformation, and movement requirement into functional requirements and mapping designs

Education and Experience:

  • B Tech or B. E. (Computer Science / Information Technology)
  • 5+ years as an ETL Developer or similar roles

Analytical and Personal skills:

  • Must have sound logical reasoning and analytical skills
  • Good communication skills in English – both written and verbal
  • Demonstrate Ownership and Accountability of their work
  • Attention to details

Work with the problem solver engineers team

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