Databricks Automation Engineer - W2 Position

Dallas, TX, US • Posted 20 hours ago • Updated 20 hours ago
Full Time
Travel Required
On-site
$53/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Apache Spark
  • Automated Testing
  • Big Data
  • Change Data Capture
  • Collaboration
  • Continuous Delivery
  • Continuous Integration
  • Dashboard
  • Data Engineering
  • Data Quality
  • Data Validation
  • Databricks
  • DevOps
  • Documentation
  • ELT
  • Extract, Transform, Load
  • GitHub
  • Java
  • Leadership
  • Load Testing
  • MEAN Stack
  • MI
  • Marketing Intelligence
  • Mentorship
  • Microservices
  • Testing
  • Software Development Methodology
  • Semantics
  • Software Engineering
  • Quality Assurance
  • Regression Analysis
  • Scala
  • Microsoft Azure
  • Optimization
  • PySpark
  • Python
  • QA Management
  • STE
  • Scalability
  • Streaming

Summary

Only on W2

 

The following requirement is open with our client. 

Client                                     : TCS

Title                                       : Databricks Automation Engineer

Location                               : Seattle WA/ Dallas, TX (Onsite)

Duration                              : 12 Months

Rate                                       : $53/hr on W2

Relevant Experience      :

 

 

Detailed Job Description:

We are looking for a Databricks Automation Engineer.

 

Job Responsibilities:

·         Define and own cross-team test architecture and frameworks for ETL/ELT, Databricks/Spark, APIs, and UIs that scale across multiple product teams and environments.

·         Design and implement comprehensive data validation and data-quality strategies for large-scale telemetry processing (schema validation, row counts, statistical checks, delta comparisons, anomaly detection, drift detection).

·         Architect and enforce CI/CD-integrated automated testing pipelines (Azure DevOps / GitHub Actions) supporting pre-deploy gating, contract testing, canary verification, and regression protection.

·         Lead synthetic test data generation strategies and robust mocking/stubbing approaches for

·         Downstream dependencies; ensure environment-aware and secure test harnesses for sensitive telemetry.

·         Drive performance, scalability, and distributed load testing for Spark jobs and supporting microservices, quantify bottlenecks and propose system- and code-level remediation.

·         Collaborate with data engineering, platform, DevOps, and product leadership to define acceptance criteria, release quality gates, and automated verification SLAs.

·         Implement and maintain observability for test executions; publish automation health metrics (passrates, flakiness, coverage, mean time to detection) and maintain executive-facing dashboards.

·         Own test documentation, run books, failure triage playbooks, and on-call handover for production incidents related to data correctness and test infrastructure.

·         Lead and grow a high-performing QA/test automation capability — hire, coach, establish standards, and promote best practices organization-wide

Must Have Skills:

·         8+ years of professional software engineering and testing experience, including technical ownership of QA/test practices across the SDLC.

·         3+ years leading or mentoring engineering/QA teams in technical areas (Test Lead, Principal QA Engineer, or similar).

·         Deep knowledge of data engineering and lake house patterns: partitioning strategies, ACID/Delta semantics, schema evolution, delta table optimization, CDC, time-travel, and data lineage; able to design verification approaches for Data bricks/Spark/Delta Lake systems.

·         Proven experience architecting and building scalable automated test frameworks and embedding them into enterprise CI/CD using Azure DevOps or GitHub Actions.

·         Strong software engineering skills with extensive coding experience in Python, Java, or Scala for test development and automation; ability to review and contribute production-grade code.

·         Extensive experience testing data pipelines and big-data processing (Databricks, Spark/PySpark, Delta Lake, ADLS Gen2) or equivalent streaming/batch platforms at scale.

 

Thanks and Regards, 

Goutham Eluri

Technical Recruiter 

ASCII Group LLC. 

38345 W. 10 Mile Rd, Ste.#365; Farmington, MI  48335 

Office:

Email:  Website:  

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: 10117479
  • Position Id: 8921314
  • Posted 20 hours ago
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