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KPMG India

Data & Analytics Engineer - Manager

Bengaluru · Staff/Principal

Recently posted - highest visibilityVerified listingPosted 5h ago

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

Your match scoreCalculated · locked
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.

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What we know about this role

Hiring pulse

HIGH

KPMG India is actively reviewing profiles and moving candidates through the pipeline right now.

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First 72 hours

Still inside it - posted 5h ago

Early applicants get seen before the pile builds.

Not a repost

The first time we've seen this listing - it hasn't been closed and reopened.

Skills required

2 listed
DatabricksSQL (Programming Language)
DatabricksSQL (Programming Language)

You almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.

Job description

Job Title: Databricks Manager

Location: Bangalore

Experience: 10+ Years

  • 10+ years of professional experience in data engineering, with a focus on Databricks.
  • Programming expertise on python, SQL, Spark
  • Some experience with capital markets / investment management clients
  • Good experience on databricks - dealing with data pipelines, medallion architecture, Lakehouse, genie, unity catalog & processing of large volumes
  • Good knowledge of data modelling, data warehousing, SCD approaches etc
  • Good communication skills
  • Experience of leading client projects, teams/pods, estimating work etc

This is an SODC requirement

Candidate should reside within daily commutable distance of BLR office and willing to work full time from office

Job Title: Databricks Manager

Location: Bangalore

Experience: 10+ Years

  • 10+ years of professional experience in data engineering, with a focus on Databricks.
  • Programming expertise on python, SQL, Spark
  • Some experience with capital markets / investment management clients
  • Good experience on databricks - dealing with data pipelines, medallion architecture, Lakehouse, genie, unity catalog & processing of large volumes
  • Good knowledge of data modelling, data warehousing, SCD approaches etc
  • Good communication skills
  • Experience of leading client projects, teams/pods, estimating work etc

This is an SODC requirement

Candidate should reside within daily commutable distance of BLR office and willing to work full time from office

Job Title: Databricks Manager

Location: Bangalore

Experience: 10+ Years

  • 10+ years of professional experience in data engineering, with a focus on Databricks.
  • Programming expertise on python, SQL, Spark
  • Some experience with capital markets / investment management clients
  • Good experience on databricks - dealing with data pipelines, medallion architecture, Lakehouse, genie, unity catalog & processing of large volumes
  • Good knowledge of data modelling, data warehousing, SCD approaches etc
  • Good communication skills
  • Experience of leading client projects, teams/pods, estimating work etc

This is an SODC requirement

Candidate should reside within daily commutable distance of BLR office and willing to work full time from office

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All open roles at KPMG IndiaAll Data Engineer jobs in Bengaluru

Two ways in

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

Your match scoreCalculated · locked
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.

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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