
201 - 500 employees
Founded 2018
💼 Consulting
🏥 Healthcare
🛡️ Insurance
Consulting • Healthcare • Insurance
Exavalu is a business advisory and technology consulting firm that partners with enterprises to deliver high-impact digital transformation. Run by former CIOs, CXOs, and consulting principals, Exavalu offers strategic advisory, core systems transformation, systems integration, data & analytics, innovation and privacy/compliance solutions across regulated sectors. The firm focuses on Insurance, Banking & Financial Services, and Healthcare & Life Sciences, providing industry-tailored technology implementations and program leadership using partners like Guidewire, Salesforce, MuleSoft, PegaSystems and AWS.
🕒 January 20
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201 - 500 employees
Founded 2018
💼 Consulting
🏥 Healthcare
🛡️ Insurance
Consulting • Healthcare • Insurance
Exavalu is a business advisory and technology consulting firm that partners with enterprises to deliver high-impact digital transformation. Run by former CIOs, CXOs, and consulting principals, Exavalu offers strategic advisory, core systems transformation, systems integration, data & analytics, innovation and privacy/compliance solutions across regulated sectors. The firm focuses on Insurance, Banking & Financial Services, and Healthcare & Life Sciences, providing industry-tailored technology implementations and program leadership using partners like Guidewire, Salesforce, MuleSoft, PegaSystems and AWS.
• Design and implement modern data platform solutions using Azure services including Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks. • Define data architecture frameworks, standards, and principles. • Lead data modernization and cloud migration initiatives. • Build secure and scalable data pipelines to ingest, transform, and store large datasets. • Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and provide architectural guidance. • Optimize performance, security, and cost of data platforms. • Evaluate and recommend new Azure services and tools based on evolving project needs. • Ensure data governance, data quality, and compliance standards are met.
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. • 7+ years of experience in data architecture or data engineering roles. • 3+ years of hands-on experience with Azure data services. • Strong knowledge of relational and non-relational databases (SQL Server, Cosmos DB, etc.). • Proficiency with data modeling, data warehousing, and ETL processes. • Familiarity with big data and analytics tools like Databricks, Spark, and Synapse. • Experience with scripting and programming languages (Python, SQL, PowerShell). • Excellent understanding of security, identity, and governance in Azure.
• Diversity Inclusion: At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, color, 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. • Exavalu also promotes flexibility depending on 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 have a welcome back program to help people get back to mainstream after a long break due to health or family reasons.
Apply Now🕒 January 19
Data Engineer responsible for developing ETL pipelines and optimizing Power BI reports. Joining Particle41 to ensure reliable data and analytics for clients in a collaborative environment.
ETL
Flask
Linux
MySQL
Pandas
Postgres
PySpark
Python
Spark
SQL
🕒 January 13
Data Engineer at Particle41 responsible for designing and developing data pipelines and solutions. Collaborating with teams to ensure data quality and efficient delivery.
AWS
Azure
Cloud
ETL
Flask
Google Cloud Platform
Linux
MongoDB
MySQL
NoSQL
Postgres
PySpark
Python
Redis
Scikit-Learn
Spark
SQL
🕒 January 6
Data Engineer focusing on building and maintaining ETL data pipelines using PySpark and AWS Glue. Responsible for orchestrating workflows and ensuring data processing reliability.
AWS
ETL
PySpark
Python
SQL
🕒 December 29, 2025
Technical Data Architect focused on designing and building scalable data solutions for SAP and analytics teams. Managing data models, ML pipelines, and integrating with enterprise systems.
AWS
ETL
Neo4j
🕒 December 26, 2025
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Apache
AWS
BigQuery
Cloud
ETL
Google Cloud Platform
Kafka
MySQL
Postgres
Python
RDBMS