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Lead Data Engineer - Data @ Happiest Minds

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 Lead Data Engineer - Data

Job Description

Job Title: Lead Data Engineer 

Role Overview:

We are seeking a seasoned Lead Data Engineer to guide and mentor engineering teams while developing and maintaining a cutting-edge streaming data platform for a leading healthcare CRM product. You will lead technical design, implement scalable solutions using Python, SQL, Kafka, and cloud technologies, and ensure high performance and quality across the platform.

Technical Requirements:

  • Proven experience (9+ years) writing SQL queries for data analysis and reporting.
  • 9+ years hands-on experience developing with native Python; additional scripting languages a plus.
  • Strong understanding of software engineering concepts, programming methodologies, and the full SDLC.
  • Experience leading teams or managing direct reports, with coaching and mentoring skills.
  • Strong experience with CI/CD pipelines (Git, Jenkins).
  • Hands-on with Docker, Kubernetes, and AWS (Glue, lamda, redshift, EMR, S3, Kinesis) or equivalent cloud platforms.
  • Experience with TDD, automated testing, and ensuring code quality.
  • Understanding of large-scale distributed systems and enterprise scalability requirements.
  • Excellent time management, prioritization, and agile delivery skills.

Key Skills:

  • Python | SQL | NodeJS | Scala
  • Kafka | Relational and NoSQL databases
  • CI/CD (Git, Jenkins) | Docker | Kubernetes
  • AWS (Glue, lamda, redshift, EMR, S3, Kinesis) or other cloud services
  • Leadership, mentorship, and technical architecture design
  • Agile methodology


Work Mode - 4days from Office & 1 day from home

Location - Bangalore


Roles and Responsibilities

Key Responsibilities:

  • Mentor and guide engineering teams in all aspects of the SDLC.
  • Lead technical design sessions and translate ideas into robust technical architecture.
  • Develop and maintain scalable, high-performance data pipelines and streaming systems.
  • Use Python, SQL, Scala, NodeJS, and work with relational databases, NoSQL stores, and Kafka.
  • Refactor and optimize legacy codebases for improved performance and scalability.
  • Collaborate with product and engineering teams to deliver innovative solutions in an agile environment.
  • Support technical support teams with ad-hoc data queries and operational troubleshooting.
  • Ensure data pipelines and APIs meet enterprise-grade performance and usability standards.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Happiest Minds
Location(s): Bengaluru

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Keyskills:   continuous integration kubernetes glue scala amazon redshift ci/cd emr kinesis sql docker git jenkins software engineering scripting languages programming delivery cd python data analysis sql queries time management prioritization nosql concepts kafka agile aws ci cd pipeline

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