Senior Data Engineer
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Before you apply
LocationNOIDA, India
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentEngineering
Company size51–200 people
First seenOct 16, 2026 · 3w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Five or more years of relevant data-engineering or analytics-engineering experience in production; exceptional four-year candidates may qualify with equivalent end-to-end ownership
Advanced SQL and strong data-modeling fundamentals, including explicit grain, dimensional modeling, late-arriving facts, slowly changing dimensions, idempotency, and reconciliation
Production experience with dbt or an equivalent transformation framework, including tests, documentation, modular modeling, and CI/CD integration
Experience operating a cloud analytical warehouse; BigQuery is preferred, and comparable depth in Snowflake, Redshift, or Synapse is transferable
Experience with a semantic or BI modeling layer; LookML/Looker is preferred
Proficiency in Python or an equivalent language for data tooling, validation, and automation
Demonstrated ownership of data-quality, observability, incident response, and reliability outcomes—not only pipeline development
Experience with Git-based engineering workflows, code review, automated deployment, and production change controls
Ability to communicate tradeoffs clearly with product, engineering, analytics, and business stakeholders
Experience implementing data-governance controls or operating models, such as ownership, lineage, cataloging, quality policies, access controls, or schema-change governance
Experience with multi-tenant SaaS reporting, shared semantic models, and customer-facing analytical SLAs
Hands-on work with data contracts, event-driven architectures, streaming systems, Kafka/Confluent, or Pub/Sub
Experience with cross-source canonical modeling, especially where upstream systems represent the same business entity differently
Experience supporting externally delivered data feeds, OEM/partner reporting, or regulated/auditable data products
History of mentoring engineers and scaling standards across multiple contributing teams
Experience with Java application development and the Spring Boot framework
Skills
dbt
LookML
BigQuery
Snowflake
Redshift
Synapse
Looker
Python
Git
Kafka
Confluent
Java
Spring Boot
Benefits
Medical
Dental
Vision
Life insurance
Disability
Wellness stipend
Telework stipend
Vacation
Dog friendly office
Unlimited snacks
Role Description:
As a Senior Data Engineer, you will build and run the engineering controls that make Mykaarma’s reporting products, shared data models, and downstream feeds reliable, testable, traceable, and safe to change.
You will translate the reporting platform’s architectural direction into durable production mechanisms. You’ll be accountable for automated testing, release safety, data quality, reconciliation, dependency visibility, and operational reliability across the transformation and semantic layers.
You’ll think in data products rather than isolated tables or dashboards, and you’ll understand how grain, late-arriving data, slowly changing dimensions, cross-DMS variation, and join fan-out affect business correctness—not just query performance.
Key Responsibilities:
•
Design and implement end-to-end automated testing for critical reporting outputs across dbt, LookML, and associated data products.
•
Build CI/CD guardrails that prevent unsafe changes from reaching production, including environment separation, release checks, and rollback readiness.
•
Define and operate data-quality controls: schema tests, variance monitoring, freshness checks, anomaly detection, and reconciliation to the DMS source-of-truth.
•
Establish visibility into dependencies and lineage so teams can assess downstream impact before changing shared fields, models, or contracts.
•
Implement agreed standards for V2 Explores, dbt models, semantic definitions, and reusable reporting components.
•
Partner with upstream and downstream teams to implement data contracts, schema-change notification, contract tests, and delivery evidence for OEM feeds.
•
Participate in and help mature the reporting on-call rotation; lead root-cause analysis, corrective actions, and repeat-incident reduction.
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Document engineering standards and automate their enforcement so quality does not depend on individual memory or manual review.
•
Mentor engineers contributing to the reporting stack and review changes against documented specifications and operating standards.
•
Implement technical controls that support the agreed data-governance model, including ownership metadata, lineage, quality rules, and controlled change workflows.
Required Skills and Qualifications:
•
Five or more years of relevant data-engineering or analytics-engineering experience in production; exceptional four-year candidates may qualify with equivalent end-to-end ownership.
•
Advanced SQL and strong data-modeling fundamentals, including explicit grain, dimensional modeling, late-arriving facts, slowly changing dimensions, idempotency, and reconciliation.
•
Production experience with dbt or an equivalent transformation framework, including tests, documentation, modular modeling, and CI/CD integration.
•
Experience operating a cloud analytical warehouse; BigQuery is preferred, and comparable depth in Snowflake, Redshift, or Synapse is transferable.
•
Experience with a semantic or BI modeling layer; LookML/Looker is preferred.
•
Proficiency in Python or an equivalent language for data tooling, validation, and automation.
•
Demonstrated ownership of data-quality, observability, incident response, and reliability outcomes—not only pipeline development.
•
Experience with Git-based engineering workflows, code review, automated deployment, and production change controls.
•
Ability to communicate tradeoffs clearly with product, engineering, analytics, and business stakeholders.
Nice to Have Skills & Qualifications
•
Experience implementing data-governance controls or operating models, such as ownership, lineage, cataloging, quality policies, access controls, or schema-change governance.
•
Experience with multi-tenant SaaS reporting, shared semantic models, and customer-facing analytical SLAs.
•
Hands-on work with data contracts, event-driven architectures, streaming systems, Kafka/Confluent, or Pub/Sub.
•
Experience with cross-source canonical modeling, especially where upstream systems represent the same business entity differently.
•
Experience supporting externally delivered data feeds, OEM/partner reporting, or regulated/auditable data products.
•
History of mentoring engineers and scaling standards across multiple contributing teams.
•
Experience with Java application development and the Spring Boot framework.
We value diverse experiences and backgrounds, so we encourage you to apply if you meet some but not all of the listed qualifications.
Total Rewards at myKaarma
At myKaarma, we offer a comprehensive Total Rewards package that extends beyond the base salary. Our commitment to competitive compensation includes bonuses and benefits that support both personal and professional well-being:
•
Flexible Work Environment: We embrace a high-performance, flexible structure that values freedom and responsibility. Our “Highly Aligned, Loosely Coupled” model empowers teams to innovate and continuously improve using data-driven insights.
•
Health and Wellness: Comprehensive medical, dental, vision, life, and disability benefits, along with wellness and telework stipends.
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Time Off: Generous vacation time to recharge and balance life outside work.
•
In-Office Perks: Enjoy dog-friendly offices and unlimited snacks or refreshments onsite.
The salary range for this role depending on experience and qualifications, reflecting our dedication to competitive industry compensation. Additional details about our Total Rewards package will be shared during recruitment.
Our Commitment to Inclusion
At myKaarma, diverse perspectives drive innovation and success. We are committed to creating a safe, welcoming, and inclusive workplace where every employee feels valued and empowered and can do meaningful work. Our mission to deliver exceptional solutions to our clients is strengthened by the unique contributions and perspectives of our team members from all backgrounds.
As an equal opportunity employer, myKaarma prohibits any form of unlawful discrimination or harassment based on race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability, age, veteran status, or any other status protected by applicable laws in the regions where we operate. We adhere to all EEOC regulations and actively promote an environment that celebrates and supports diversity, equity, and inclusion for all.
Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. Reasonable accommodation is a change in the way things are normally done, which will ensure an equal employment opportunity without imposing undue hardship on myKaarma. Please let us know if you require reasonable accommodations during the application or interview process by filling out this form.
myKaarma participates in the E-Verify Program.
myKaarma considers candidates requiring work authorization on a case-by-case basis. Sponsorship may be available for exceptional candidates depending on role requirements and business need
About the company
Every day, millions of vehicle owners depend on dealership service departments to keep them on the road. We build the software that helps those service teams communicate with customers, schedule repairs, approve work, collect payments, and deliver a better experience from start to finish.
myKaarma is a leading SaaS platform serving dealerships across North America. Headquartered in Long Beach, California, with a global team, we’re growing by solving real operational problems with practical technology.
We believe the best ideas come from people who take ownership, question how things can be improved, and care deeply about the customer experience. If you’re excited to build products that have measurable impact, we’d love to meet you.