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Azure Databricks Data Engineer

Role overview

Qualifications

  • Hands-on experience with Azure Databricks
  • Hands-on expertise in data ingestion, transformation, and orchestration frameworks
  • Hands-on experience in building Insurance-specific data models
  • Proven ability to optimize data pipelines for performance, scalability, and cost efficiency

Responsibilities

  • Design and implement end-to-end data pipelines using Azure-native services and Databricks
  • Implement data governance principles using Unity Catalog
  • Create data ingestion and integration patterns in medallion architecture
  • Create PySpark notebooks and optimize performance tuning in Databricks and Azure SQL DBs

About the company

Exavalu logo

Exavalu

Digital Transformation Consulting

Exavalu is your sustained strategic partner to deliver meaningful change and lasting value. Our seasoned industry veterans are experienced in solving your most challenging problems. We stay with you until the results are achieved. Big firm expertise. Small firm feel. Get the transformation you wish for. Visit www.exavalu.com

Company details

Company typeScaleup
IndustryDigital Transformation Consulting
Company size201 - 500

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Job description

This is a remote position.

Design and implement end-to-end data pipeline using Azure-native services and databricks. This role focuses on building scalable, high-performance data platforms, defining robust data frameworks, and partnering with stakeholders to translate business requirements into reliable data solutions.
Implement data governance principles using unity catalog.
Create and Implement data ingestion patterns and data integration patterns in medallion architecture.
Apply best practices in data engineering
Create Pyspark notebooks
Create procedures for advanced data transformation.
Handle performance tuning aspects in Databricks and Azure SQL DBs


Requirements

Required Skills & Qualifications
- Hands-on experience with Azure Databricks
· Hands-on expertise in data ingestion, transformation, and orchestration frameworks.
· Hands on experience in building Insurance specific data models
· Proven ability to optimize data pipelines for performance, scalability, and cost efficiency.
· Solid understanding of distributed data processing concepts.

Preferred Skills & Qualifications
· Hands-on experience with PySpark for large-scale data processing.
· Experience defining and enforcing best practices for Databricks workloads and Spark-based pipelines.
· Strong analytical and problem-solving skills.
· Excellent communication skills to effectively work with cross-functional stakeholders.
· Prior experience in working in Insurance P&C cloud based data & analytics projects

Benefits

Diversity Inclusion: Exavalu also promotes flexibility, adapting to the needs of employees, customers, and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. We also offer a welcome back program to help individuals return to the mainstream after a prolonged absence due to health or family reasons. At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, colour, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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