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Bristlecone

Lead Data Engineer

Noida · Staff/Principal

Older listing - lower visibility likelyVerified listingPosted 43d ago

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64Skills
97Experience

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Skills required

12 listed
CI/CDStakeholder CommunicationsSnowflake (Data Warehouse)DatabricksExtract Transform Load (ETL)SQL (Programming Language)Python (Programming Language)Scala (Programming Language)+4 more
CI/CDStakeholder CommunicationsSnowflake (Data Warehouse)DatabricksExtract Transform Load (ETL)

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Job description

Bristlecone India Limited is seeking a seasoned Lead Data Engineer to spearhead the design, development, and optimization of our data ecosystem within the Data Services – Studio department. The role demands deep expertise in Snowflake and Databricks, a proven track record of building end‑to‑end data pipelines, and the ability to lead a high‑performing engineering team to deliver robust, scalable, and secure data solutions that empower business insights.
  • Architect and implement end‑to‑end data pipelines on Snowflake and Databricks.
  • Lead a team of data engineers, providing mentorship, code reviews, and technical guidance.
  • Collaborate with data scientists, analysts, and business stakeholders to translate requirements into data solutions.
  • Establish best practices for data modeling, ETL/ELT processes, and data governance.
  • Optimize performance, cost, and reliability of data platforms.
  • Drive adoption of CI/CD, automated testing, and monitoring for data workflows.
  • Ensure data security, compliance, and privacy standards are met.
  • Evaluate emerging technologies and recommend enhancements to the data stack.
  • Manage project timelines, deliverables, and stakeholder communications.
  • Document architecture, processes, and operational procedures.
  • 10+ years of professional experience in data engineering.
  • Deep expertise in Snowflake (data warehousing, performance tuning, security).
  • Extensive hands‑on experience with Databricks (Spark, Delta Lake, ML pipelines).
  • Proficiency in SQL, Python/Scala, and modern data integration tools.
  • Strong background in data modeling, ETL/ELT design, and data pipeline orchestration.
  • Experience leading and scaling engineering teams in an Agile environment.
  • Knowledge of cloud platforms (AWS, Azure, or GCP) and infrastructure as code.
  • Familiarity with CI/CD, version control (Git), and automated testing frameworks.
  • Excellent problem‑solving, communication, and stakeholder management skills.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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