Lead Data Engineer

6 years

0 Lacs

Posted:19 hours ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Position:

Location:

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About the Company:

Ignitho Inc.

Visit our website to learn more about our work and culture:

Nuivio Ventures Inc.,

Learn more about Nuivio at:

 

Job Summary

We are looking for a highly skilled Lead Data Engineer to drive the delivery of data warehousing, ETL, and business intelligence solutions. This role involves leading cloud data migrations, building scalable data pipelines, and serving as the primary liaison for client engagements.

 

Roles & Responsibilities

  • Lead end-to-end delivery of data warehousing and BI solutions.
  • Act as 

    SPOC

     for project engagements with cross-functional and international teams.
  • Design and implement batch, near real-time, and real-time data pipelines.
  • Build scalable data platforms using 

    AWS

     (Lambda, Glue, Athena, S3).
  • Develop and optimise 

    SQL

     scripts, 

    Python

     code, and shell scripts for automation.
  • Translate business requirements into actionable data insights and reports.
  • Manage 

    Agile project execution

    , ensuring timely and high-quality deliverables.
  • Perform root cause analysis, performance tuning, and data profiling.
  • Lead legacy data migration to modern cloud platforms.
  • Collaborate on data modelling and BI solution design.

 

Preferred Skills

  • Strong Python programming

     for ETL, APIs, and AWS Lambda.
  • Advanced SQL

     scripting and performance tuning.
  • Proficiency in 

    Unix/Linux

     shell scripting.
  • Hands-on experience with 

    AWS

     services (Lambda, Glue, Athena, S3, CloudWatch).
  • Familiarity with 

    GitLab, Bitbucket, or CircleCI

    .
  • Experience in digital marketing data environments is a plus.
  • Knowledge of 

    Azure/GCP

     and tools like Informatica is preferred.
  • Exposure to real-time streaming and data lake architectures.

 

Qualifications

  • Bachelor’s degree in computer science, MCA, or related field.
  • 6+ years of experience in data engineering and BI.
  • At least 5 years of project leadership experience.
  • AWS/Data Warehousing certifications are a plus.


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