Senior Data Engineer
Actively Reviewing the ApplicationsRyan Specialty
On-site
Posted 3 weeks ago
•
Apply by June 4, 2026
Job Description
Position Summary
Job Title: Senior Data Engineer
Location: India
Project: Enterprise Data Hub (EDH)
About The Role
We are seeking a highly skilled and hands-on Senior Data Engineer to join our EDH initiative. This role demands deep expertise in building scalable data pipelines and automation frameworks using Databricks and the Azure ecosystem. The ideal candidate will have a strong engineering mindset, leadership experience, and a passion for solving complex data challenges.
Location:
Mumbai - India
What will your job entail?
Key Responsibilities
Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions, and benefits of employment.
Job Title: Senior Data Engineer
Location: India
Project: Enterprise Data Hub (EDH)
About The Role
We are seeking a highly skilled and hands-on Senior Data Engineer to join our EDH initiative. This role demands deep expertise in building scalable data pipelines and automation frameworks using Databricks and the Azure ecosystem. The ideal candidate will have a strong engineering mindset, leadership experience, and a passion for solving complex data challenges.
Location:
Mumbai - India
What will your job entail?
Key Responsibilities
- Design, develop, and optimize scalable data pipelines using Databricks and Apache Spark
- Implement job orchestration and automation using tools like Azure Data Factory, Azure Functions, and DevOps
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality solutions
- Lead and mentor junior engineers, ensuring best practices in coding, testing, and deployment
- Manage and monitor data workflows, ensuring reliability and performance
- Contribute to architectural decisions and help shape the future of the EDH platform
- 6–7 years of hands-on experience in Databricks and Spark-based data engineering
- Strong proficiency in the Azure tech stack: Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Functions, etc.
- Proven experience in job automation, CI/CD pipelines, and workflow orchestration
- Solid understanding of data modeling, ETL/ELT processes, and performance tuning
- Experience leading small teams or mentoring engineers in a fast-paced environment
- Excellent problem-solving and communication skills
- Experience with Delta Lake, Unity Catalog, and MLflow
- Familiarity with data governance and security best practices in cloud environments
- Exposure to Agile methodologies and DevOps practices
Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions, and benefits of employment.
Required Skills
Communication
Engineering
Agile
Automation
Performance Tuning
Apache Spark
Data Modeling
CI/CD Pipelines
Spark
Data Governance
Azure
Azure Functions
MLflow
Databricks
Data Lake
ETL
Unity
Agile Methodologies
Data Engineering
DevOps
CI/CD
Mentoring
Testing
Apache
Governance
Orchestration
Unity catalog
Modeling
Delta
Data pipelines
Synapse
Cloud environments
Factory
Workflow orchestration
ELT
Azure Data Factory
Azure Data Lake
Data Factory
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