Senior Databricks Developer / Engineer

NimbusAITech LLC
Delaware, OH, United States
6 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Shift work
Job source

Tech stack

Airflow Amazon Web Services Amazon S3 Data Analysis Microsoft Azure Cloud Computing Continuous Integration Data Architecture Data Governance Extract Transform Load (ETL) Identity and Access Management Python (Programming Language)
+16 more
Meta-Data Management Performance Tuning SQL Databases Data Streaming Workflow Management Systems Google Cloud Cloud Platform System Apache Spark Git Data Lakes Pyspark Information Technology Bitbucket Data Pipelines Jenkins Databricks

Job description

We are seeking an experienced Senior Databricks Developer / Data Engineer for an enterprise financial-services technology environment., The ideal candidate will have strong hands-on experience developing and supporting enterprise-scale data engineering solutions using Databricks, Apache Spark, PySpark, Python, SQL, cloud platforms, and modern data architecture., * Design, develop, test, and maintain enterprise Databricks data pipelines.

  • Develop scalable ETL/ELT solutions using Python, PySpark, SQL, and Delta Lake.
  • Integrate data from multiple enterprise sources.
  • Optimize Spark jobs, SQL queries, and Databricks workloads.
  • Implement data quality, validation, and reconciliation controls.
  • Support data governance, security, access controls, and lineage.
  • Support production monitoring, troubleshooting, and root-cause analysis.
  • Collaborate with architecture, analytics, business, and technology teams.

Additional Preferred Skills

  • AWS S3, Glue, Lambda, and IAM.
  • Unity Catalog and metadata management.
  • Batch and streaming data processing.
  • Apache Airflow or equivalent workflow orchestration.
  • CI/CD, Git, Jenkins, or Bitbucket.
  • Production monitoring and performance tuning.
  • Financial services, banking, payments, risk, or compliance experience.

Requirements

Required skill

Minimum experience

Overall IT Experience

8 years

Databricks

5 years

Apache Spark / PySpark

5 years

Cloud Platform (AWS / Azure / Google Cloud Platform)

5 years

ETL / ELT Development

6 years

Data Pipeline Development

6 years

Python Programming

5 years

SQL

6 years

Delta Lake / Delta Tables

4 years

Data Modeling

5 years

Additional preferred skills

Preferred skill

Suggested experience

AWS S3 / Glue / Lambda

3+ years

Unity Catalog

2+ years

CI/CD and Git

3+ years

Apache Airflow / Workflow Orchestration

2+ years

Production Support / Performance Tuning

3+ years

Banking / Financial Services

2+ years, Candidates must provide their current location, total IT experience, individual years of experience across required technologies, W2 availability, and confirmation of the five-day onsite requirement.

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