Data Engineer Analyst- Azure

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day.

We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism.

Our four values guide our strategy, our decisions, and our interactions:

• Make it human. We care about the people that make up our customers, colleagues, and communities.
• Make it about others. We do what’s best for our customers and collaborate to drive progress.
• Make it happen. We work with intention toward a common purpose and forge ways forward together.
• Make it better. We create fulfilling purpose-driven careers by learning from the world and each other.

POSITION TITLE
Data Engineer Analyst- Azure

POSITION LOCATION
Remote (India)

YOUR ROLE
As an Azure Data engineer with 7+ years IT experience, you are a core team member responsible for designing and implementation of Azure native data solutions to support business use cases. This role will be responsible for designing, developing, optimizing, and standardizing data pipelines, creating robust data models for data publishing while complying with, and adding value to, the data architecture. You will need a blend of superb problem-solving and innovation skills to resolve a wide variety of technical challenges. You will need to showcase good understanding of database, ETL and cloud concepts. This role will also provide an opportunity for you to mentor junior team members.

What you will be doing

• Design, develop, and successfully operationalize complex/large scale data management projects.

• Design and develop optimized SQL/PLSQL, PySpark and SparkSQL and shell scripting.

• Implement data processing/data movement solutions using Azure services like ADLS, Azure synapse analytics/ADF, Azure SQL DB, Azure EventGrid, Azure Logic apps, Azure Functions, Azure Analysis Service, Databricks etc.

• Design and code reusable components and functions.

• Design job orchestration (Synapse/ADF Pipelines), change data capture pipelines (preferably using Kafka Connect), metadata design, audit trail, dynamic parameter passing, and error/exception handling.

• Design and Implement CICD pipelines using Azure Devops

• Write and execute test plans, test cases, and testing ELT/ETL code and data model integrity.

• Understanding customer requirements and implementing optimized solutions

• Re-engineer and enhance existing code.

• Mentor junior team members to efficiently utilize their potential to deliver solutions and guide them.

What you bring

• Overall, 7+ years of experience, with 3+ years of experience in cloud data engineering roles - with a focus on Azure cloud data migration experience.

• Must have had enterprise-scale technical experience with cloud and hybrid infrastructures, migrations, and technology management.

• Must have database experience in Azure Cloud Platform

• Must have at least 4+ years implementation experience in Python, PySpark and Spark scripting.

• Azure AZ-900 (Azure Fundamentals) and/or Azure DP-203 (Azure Data Engineering - Associate) Certification is preferred.

• Experience in DevOps principles and CI/CD tools such as Azure DevOps/Jenkins/Git

• Strong analytical and debugging skills to quickly respond to issues/questions.

• Excellent communication and articulation skills.

Employee Benefits & Well-Being
Genworth employees make a difference in people’s lives every day. We’re committed to making a difference in our employees’ lives.

• Competitive Compensation & Total Rewards Incentives

• Attractive Mediclaim Coverage

• Annual Leave of up to 25 days

• 12 Sick Leaves

• 12 Casual Leaves

• Additional leaves for marriage, child-birth, adoption, bereavement

• 11 Holidays for all employees

• Utility Allowance to cover for Internet and Phone expenses

• Employment Assistance Program

• Gratuity eligibility

• Business Travel Accident Insurance

• Active employee engagement activities

• Access to LinkedIn Learning in addition to ongoing Genworth Training calendar