Paramjit Varinder Cheema

S

Engineering Manager at Signal Pay · Data pipelines

Signal Pay
New Delhi, India · IST (UTC+5:30)
6+ years experience
NIT Trichy
English, Hindi
Hiring
Messaging unavailable

Overview

Engineering Manager at Signal Pay, focused on data pipelines. Reduced cloud spend on data platform by 39% in two quarters. Wrote the Airflow service that now handles 57 million requests a day. Before that: Uber and Siemens. Most at home with Snowflake and Kafka. I host a monthly meetup on data pipelines.

Good reasons to reach out
  • Candidates for the role I'm hiring for
  • Questions about data pipelines
  • Second opinions on Kafka decisions
Please don't message about
  • Agency or outsourcing pitches
  • Offshore staffing offers
  • Requests to fix your code for free

Travels often; replies within 48 hours

Skills
AirflowKafkadbtPythonSnowflakeSparkSQL
HiringHiring for a role
closes in 3 months

Building out data platform at Signal Pay: SREs wanted in New Delhi

Role
SRE
Level
Senior
Type
Full-time
Work mode
Hybrid
Compensation
₹42-70 LPA
Team
Data platform, 17 people
Start
As soon as possible
Must have
Strong SQL and statistics Turns analysis into decisions Ownership of something end to end
Process
Decision within 10 days

Comp ₹25-79 LPA. Three interviews over a week. Message me with one thing you shipped that you're proud of.

New Delhi, Indiaairflowpythonkafka
Open

Experience

  1. Engineering Manager
    Sep 2024 - Present
    Signal Pay · 2 yr 1 mo · Full-time · New Delhi, India
    • Moved 66% of data platform traffic off a legacy monolith without a customer-facing incident.
    • Shipped a rewrite that took build times from 31 minutes to under 3.
    • Led the migration of 76 services to Snowflake.
  2. Data Engineer
    Nov 2021 - Sep 2024
    Uber · 2 yr 10 mo · Full-time · New Delhi, India
    • Wrote the metric definitions the leadership team reviews every week.
  3. Data Engineer
    Oct 2020 - Nov 2021
    Siemens · 1 yr 1 mo · Full-time · New Delhi, India
    • Cut forecast error from 32% to 11% across 2579 SKUs.
    • Replaced 54 hand-built dashboards with one metrics layer people trust.

Projects

Write-up: data pipelines in practice
2022

A long-form guide to data pipelines for people starting out.

References

No references yet.

Education

  1. NIT Trichy
    B.Tech, Electronics and Communication
    2016 - 2020

Details

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