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Databricks Platform Engineer
Job in
Woodbridge Township, Middlesex County, New Jersey, USA
Listed on 2026-02-03
Listing for:
Signify Technology
Contract
position Listed on 2026-02-03
Job specializations:
-
IT/Tech
Data Engineer, Cloud Computing
Job Description & How to Apply Below
Overview
Job title: Databricks Platform Engineer
Job type: B2B
Contract Length: 12 months
Role
Location:
Remote / Relocation to Abu Dhabi available
Client Industry: IT Consultancy / Financial Services
Responsibilities- Collaborate with stakeholders during requirements clarification and sprint planning to ensure alignment with business objectives.
- Design and implement technical solutions on Lakehouse platform (Databricks); prototype new Databricks capabilities and expose these capabilities to support Data Products strategy and the Data & AI ecosystem.
- Integrate data platforms with enterprise tools, including incident and monitoring systems (e.g., Service Now), identity management solutions, and data observability tools (e.g., Dynatrace).
- Develop and maintain unit and integration tests to ensure quality and resilience.
- Support QA teams during acceptance testing.
- Act as a third-line engineer for production incidents, ensuring system stability and uptime.
- Collaborate with cloud and infrastructure teams to deliver secure, scalable, and reliable solutions.
- Expert knowledge of Databricks.
- Proficient in PySpark for distributed computing
- Python for library development.
- Advanced SQL skills for complex query optimisation (e.g., Oracle, MS SQL).
- Experience with Git for version control.
- Familiarity with monitoring tools (e.g., Service Now, Prometheus, Grafana).
- Knowledge of scheduling tools (e.g., Stonebranch, Control-M, Airflow).
- Proficiency in data quality frameworks (e.g., Great Expectations, ideally Monte Carlo).
- Solid understanding of cloud infrastructure fundamentals (DNS, certificates, identity, load balancing).
- Note:
The primary focus is building platform capabilities rather than writing ETL pipelines. - Agile Practices:
Comfortable with sprint planning, stand-ups, and retrospectives. - Collaboration Tools:
Skilled in Azure Dev Ops for project management. - Problem-Solving:
Strong debugging and troubleshooting skills for complex data engineering issues. - Communication:
Exceptional written and verbal skills, able to explain technical concepts to non-technical stakeholders.
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