Data Engineer

Remote India

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

    

POSITION LOCATION

India (remote)

    

YOUR ROLE

The Data Engineer will have the opportunity to apply their software development skills, strong math aptitude and their knowledge about finance and accounting related systems in this role. They will be able to contribute immediately, if they have solid experience in system operations, development, on-going support, and also have the financial acumen to quickly learn basic investing concepts.

What you will be doing

One can contribute numerous process steps including:

  • Participate in activities to migrate application from on-premises to a SaaS model.
  • Develop and maintain Linux scripts (i.e. KSH, Bash, Perl, and Python)
  • Job scheduling, managing data feeds and ensure production operations to meet SLA requirements.
  • Develop procedures for change control, business continency, data loads, and dashboards.
  • Trouble shoot and perform root- cause analysis to minimize future issues.
  • Perform or guide system and application upgrades
  • Communicate and collaborate with developers, business users, vendors, and management to meet requirements.

What you bring

  • Overall 3-7years of experience in the industry
  • Bachelor’s degree in a computer science or related degree
  • 1+ years of experience with extract, transform, and load (ETL) methods and tools
  • 1+ years of experience with data modeling, data warehousing, and building ETL pipelines
  • 1+ years of experience with SQL queries and JSON objects
  • 1+ years of experience with both SQL and NoSQL databases, including PostgreSQL and MongoDB
  • Demonstrated expertise in developing automated jobs
  • Experience working with business users
  • Proven history of detail-oriented execution and commitment to customer satisfaction
  • Solid understanding of relational databases, SQL statements, ETL data transformations, shell scripts, JAVA scripts, etc
  • Familiarity with shell scripting and python development
  • Prior experience with monitoring and maintaining Linux systems and operating systems
  • Interest in event streaming architectures, such as Apache Kafka
  • Familiar with cloud technologies
  • Knowledge of data mining, machine learning, data visualization and statistical modeling
  • Ability to thrive in a fast-paced work environment with multiple stakeholders
  • Creativity and innovation – desire to learn and apply new technologies, products, and libraries

    

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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  5  1  0
Category: Engineering Jobs

Tags: Architecture Computer Science Data Mining Data visualization Data Warehousing ETL Finance Java JSON Kafka Linux Machine Learning Mathematics MongoDB NoSQL Perl Pipelines PostgreSQL Python RDBMS Shell scripting SQL Statistical modeling Statistics Streaming

Perks/benefits: Career development Competitive pay

Regions: Remote/Anywhere Asia/Pacific
Country: India

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