Data Engineering (DE) Lead

Tech Mahindra; Rochester, Northern (MN, KY); On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Medical insurance

Vision and dental insurance

Life insurance

Paid time off including holidays and p

Parental leave

Job summary

Tech Mahindra in Rochester, Minnesota is seeking an experienced Data Engineer to own delivery on GCP/DataFlow, including ingestion, transformation, standardisation and publication of data products.

You will define reusable DataFlow/GCP patterns, build pipelines from Epic/ELMS/Oracle, implement quality controls, and establish CI/CD and production support.

Qualifications

• Bachelor’s degree minimum
• 8+ years of data engineering experience with hands-on GCP and DataFlow
• Experience with large-scale batch, incremental and event-driven pipelines
• Experience feeding and reconciling MDM/RDM data
• Strong on operationalisation: monitoring, replay, CI/CD

Responsibilities

• Define reusable DataFlow/GCP ingestion and transformation patterns.
• Implement source ingestion from Epic, ELMS, Oracle, terminology and other approved sources.
• Build raw/source-preserving, standardised/cleansed and curated/mastered processing layers.
• Implement standardisation, validation, transformation and reference-data enrichment.
• Build reconciliation controls between source, MDM/RDM and downstream publication.
• Build publication pipelines to GCP data products, APIs, events and tables/files.
• Implement replay, restart, idempotency, audit and monitoring; optimise performance and cost.
• Establish CI/CD, code quality and production support procedures.

Skills

Data engineering on GCP/DataFlow

Pipelines: batch, incremental, event‑d

MDM/RDM reconciliation

CI/CD and monitoring

Education

Bachelor's degree or higher

Tools

BigQuery

Pub/Sub

Informatica MDM loads

Job description

A Bachelor’s or Higher Degree is the minimum entry required for the position

Location: Rochester, Minnesota(Open for Remote).

Role Family

Experience

8+ years

Platform Focus

Role Description

Own data-engineering delivery on GCP/DataFlow, including ingestion, transformation, standardisation, reconciliation, publication and operational engineering standards.

Key Responsibilities

Define reusable DataFlow/GCP ingestion and transformation patterns.

• Implement source ingestion from Epic, ELMS, Oracle, terminology and other approved sources.
• Build raw/source-preserving, standardised/cleansed and curated/mastered processing layers.
• Implement standardisation, validation, transformation and reference-data enrichment.
• Build reconciliation controls between source, MDM/RDM and downstream publication.
• Build publication pipelines to GCP data products, APIs, events and tables/files.
• Implement replay, restart, idempotency, audit and monitoring; optimise performance and cost.
• Establish CI/CD, code quality and production support procedures.

Primary Deliverables

• Ingestion and transformation pipelines
• Publication pipelines
• Operational monitoring and runbooks
• CI/CD and engineering standards

Required Experience & Skills

• 8+ years in data engineering, hands-on with GCP and DataFlow (or equivalent).
• Large-scale batch, incremental and event-driven pipeline experience.
• Experience feeding and reconciling MDM/RDM data.
• Strong on operationalisation: monitoring, replay, CI/CD.

Good to Have

• BigQuery, Pub/Sub and Dataflow depth.
• Integration with Informatica MDM loads.

The pay range for this role is $120,000 - $140,000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.

Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [e-mail]