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Google Cloud Platform Senior Data Engineer

Hybrid in Mountain View, CA, US • Posted 14 hours ago • Updated 14 hours ago

Contract Independent

12 Months

No Travel Required

Hybrid

$60 - $65/hr

Fitment

Dice Job Match Score™

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Job Details

Skills

Google Cloud Platform
Data Flow
Git
Data Deduplication
Apache Kafka
SQL
Python
Database

Summary

Google Cloud Platform Senior Data Engineer

Location: Bay Area CA

Duration: Long term

Responsibilities

Build streaming Dataflow pipelines in Apache Beam consuming Pub/Sub events into the BigQuery bronze layer.
Implement deduplication, idempotent writes, event ordering, and late-arriving event handling — the logic most likely to fail silently if done carelessly.
Implement schemas as data contracts and handle schema evolution without dropping or corrupting events.
Implement DLQ routing, message archival, and the replay path, and test recovery under realistic failure rather than happy-path only.
Build Dataform models across conformed and mart layers with meaningful assertions, plus business-friendly table and column documentation as part of the build.
Apply BigQuery performance and cost practices in code: partitioning, clustering, incremental materializations.
Build reconciliation checks against the system of record and produce sign-off evidence.
Register datasets in Dataplex and apply policy tags and row-level security to the required granularity.
Build one-time historical migration loads from files and database extracts, reconciled against the streaming path at cutover.
Contribute Terraform modules and CI/CD; write tests including replay and duplicate-event scenarios.
Emit structured logs and metrics from every pipeline so the platform's operations layer can monitor it; write runbooks; support UAT, cutover, and hypercare.

Required

Hands-on streaming experience — Pub/Sub and Dataflow, or Kafka / Flink / Kinesis — with real exposure to deduplication, ordering, and replay.
Strong Python and advanced SQL: window functions, CTEs, incremental merge patterns, query tuning.
Apache Beam, or demonstrable ability to ramp quickly from another streaming framework.
Hands-on BigQuery: partitioning, clustering, cost-aware query design.
Dataform or dbt including tests or assertions and dependency management.
Working knowledge of dimensional modeling.
Git workflow and CI/CD; Terraform, or willingness to ramp quickly.
Exposure to a major SaaS platform as a data source and its change-event mechanisms.
Comfort building to an architecture someone else defined, raising concerns through the right channel rather than deviating quietly.

Preferred

Google Cloud Platform Professional Data Engineer certification; Dataplex and DLP; Analytics Hub or Looker familiarity

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91174723
Position Id: 9082448
Posted 14 hours ago

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Abhishek Baiswar

Recruiter @ SR Talent Solution Inc

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