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2 Days ago

Lead Data Engineer

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Pune, Maharashtra, India
Manufacturing & Industrial
Full-Time
Uplers

Overview

Experience: 6.00 + years

Salary: Confidential (based on experience)

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full time Permanent Position

(*Note: This is a requirement for one of Uplers' client - Forbes Advisor)

What do you need for this opportunity?

Must have skills required:

SQL, dbt, Google Cloud

Forbes Advisor is Looking for:

Job Title: Lead Data Engineer

Company: Forbes Advisor

Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics.

The Role

We’re hiring a Data Engineering Lead to help scale and guide a growing team of data engineers. This role is ideal for someone who enjoys solving technical challenges hands-on while also shaping engineering best practices, coaching others, and helping cross-functional teams deliver data products with clarity and speed.

You’ll manage a small team of ICs responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases. You’ll be expected to drive engineering excellence — from code quality to deployment hygiene — and play a key role in sprint planning, architectural discussions, and stakeholder collaboration. This is a critical leadership role as our data organization expands to meet growing demand across media performance, optimization, customer insights, and advanced analytics.

What you’ll do:

  • Lead and grow a team of data engineers working across ETL/ELT, data warehousing, and ML-enablement
  • Own team delivery across sprints, including planning, prioritization, QA, and stakeholder communication
  • Set and enforce strong engineering practices around code reviews, testing, observability, and documentation
  • Collaborate cross-functionally with Analytics, BI, Revenue Operations, and business stakeholders in Marketing and Sales
  • Guide technical architecture decisions for our pipelines on GCP (BigQuery, GCS, Composer)
  • Model and transform data using dbt and SQL, supporting reporting, attribution, and optimization needs
  • Ensure data security, compliance, and scalability — especially around first-party customer data
  • Mentor junior engineers through code reviews, pairing, and technical roadmap discussions


What You Bring:

  • 6+ years of experience in data engineering, including 2+ years of people management or formal team leadership
  • Strong technical background with Python, Spark, Kafka, and orchestration tools like Airflow
  • Deep experience working in GCP, especially BigQuery, GCS, and Composer
  • Strong SQL skills and familiarity with DBT for modeling and documentation
  • Clear understanding of data privacy and governance, including how to safely manage and segment first-party data
  • Experience working in agile environments, including sprint planning and ticket scoping
  • Excellent communication skills and proven ability to work cross-functionally across global teams.


Nice to have:

  • Experience leading data engineering teams in digital media or performance marketing environments
  • Familiarity with data from Google Ads, Meta, TikTok, Taboola, Outbrain, and Google Analytics (GA4)
  • Exposure to BI tools like Tableau or Looker
  • Experience collaborating with data scientists on ML workflows and experimentation platforms
  • Knowledge of data contracts, schema versioning, or platform ownership patterns


Why Join Us:

  • Monthly long weekends — every third Friday off
  • Wellness reimbursement to support your health and balance
  • Paid parental leave
  • Remote-first culture with flexibility and trust
  • Leadership role in a fast-growing global data team inside a globally recognized brand


How to apply for this opportunity?

  • Step 1: Click On Apply! And Register or Login on our portal.
  • Step 2: Complete the Screening Form & Upload updated Resume
  • Step 3: Increase your chances to get shortlisted & meet the client for the Interview!


About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
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