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unifyCX - Senior Data Engineer - SQL / Python

unifyCX - Senior Data Engineer - SQL / Python

Glow TouchNanjangud
30+ days ago
Job description

Required Experience :

  • 8+ Years for Senior Data Engineer

Preferred Skillsets :

  • Very Strong Python skills.
  • Very efficient in SQL / Stored procedures.
  • At least 8 years of Hands on Experience in AWS Step function, AWS Lambda, AWS S3, AWS ECS, AWS Cloud Watch, AWS Event Bridge, AWS Athena, AWS Glue.
  • At least 8 years of Experience in Terraform.
  • At least 8 years of Experience in Jenkins pipelines(Groovy script).
  • At least 8 years of experience in various kind of Data Scraping, Data Ingestion, Data

    • Processing.

  • Good Experience in GIT, Bitbucket.
  • Good Experience in Jira, Confluence and Scrum.
  • Worked on end-to-end ETL projects.
  • Have good understanding of data warehouse / data lake concepts.
  • Very good at coding with best practices.
  • Proactive, multitasker, Team Player, and can confidently collaborate with various teams like

    • data engineering, architecture, and data teams.

  • Can lead and independently work on certain modules.
  • Confidently lead and represent data team in client meetings and guide the juniors.
  • Solution designing.
  • Understand end to end data management tasks (not just ETL, for eg : scheduling,

    • performance, code optimisation, principles of data modelling, etc).

  • Strong Problem Analysis & Solving skills.
  • Effective Communication.

    • Key Responsibilities :

  • Design, develop, and maintain robust, scalable data pipelines and ETL workflows using AWS services such as Step Functions, Lambda, S3, ECS, CloudWatch, EventBridge, Athena, and Glue.
  • Develop and optimize infrastructure as code using Terraform.
  • Build and maintain CI / CD pipelines in Jenkins using Groovy scripting.
  • Lead end-to-end ETL projects, ensuring best coding practices and high-quality delivery.
  • Implement efficient data scraping, ingestion, and processing mechanisms for large-scale data.
  • Collaborate effectively with data engineering, architecture, and analytics teams to design and

    • implement data solutions.

  • Lead modules independently and provide technical guidance to junior engineers.
  • Represent the data engineering team in client meetings, providing technical insights and

    • progress updates.

  • Apply deep understanding of data warehousing and data lake concepts to design optimal solutions.
  • Ensure scheduling, performance tuning, code optimization, and data modeling principles are

    • applied throughout data workflows.

  • Utilize version control tools such as GIT and Bitbucket for source code management.
  • Use Jira, Confluence, and Scrum methodologies to manage project workflows.
  • Proactively identify and solve complex problems related to data management and

    • engineering.

  • Communicate effectively across teams to align technical solutions with business objectives.

    • (ref : hirist.tech)

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