Job Location: Bangalore
Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that’s improving the lives of millions. Here, innovation isn’t about another gadget, it’s about making health care data available wherever and whenever people need it, safely and reliably. There’s no room for error. Join us and start doing your life’s best work.(sm)
Primary Responsibilities:
- Analysis and Planning
- Lead one or more project execution independently with manager doing high level client communication and project planning
- Figures out how to build a Solution
- Responsible for the project documentation
- Design and develop
- Design, build & deploy optimized solutions using Big Data Tech Stack
- Team Management
- Mentoring and grooming junior engineers
- Lead and drive knowledge sharing sessions within the team
- Own the technical deliveries of the team
- Capability Development
- Work with Senior team members to develop new capabilities for the team
- Collaboration
- Collaborate with Enterprise teams within UHG for requirement gathering and use case implementation for the product/project
- Collaborate with Data Scientists & Data Analysts to work on a solution to address a business problem
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
- Undergraduate degree or equivalent experience
- Knowledge with Big Data Ecosystem – Hive, Sqoop, Spark (RDD, SQL, Streaming), Kafka
- Knowledge with Programming Languages – Python /Scala/Java
- Knowledge with NO SQL Databases – HBase/MongoDB/Cassandra
- Knowledge with Dimensional Modeling in Big Data environments
- Knowledge with Data Warehousing Design – FACT Tables Design, Knowledge with Snowflake Schema on Big Data Environment
- Knowledge with Unix Shell Scripting
- Knowledge with Configuration Management – GitHub
- Knowledge with Relational Databases – SQL
- Ability and willingness to learn on the job
- Ability to work well under pressure in a fast-paced environment while demonstrating good level of maturity
- Excellent written and oral communication skills
- Excellent problem-solving abilities with analytical mindset
- Excellent interpersonal and team skills
Preferred Qualifications:
- Knowledge/Experience in building Canonical Data Models
- Knowledge/Experience on Elastic Search
- Knowledge/Experience on Cloud Technologies – Azure/AWS
- Knowledge/Experience with Containerization – Docker, Kubernetes
- Knowledge/Experience using Microsoft Excel, Power Point
Careers with Optum. Here’s the idea. We built an entire organization around one giant objective; make health care work better for everyone. So when it comes to how we use the world’s large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life’s best work.(sm)
Job Keywords: Data Scientist, Data Engineer, Data, Spark, Hafka, Python, Scala, Noida, Uttar Pradesh, UP, Gurgaon, Haryana, HR, Bangalore, Karnataka, KA, Hyderabad, Telangana, TG
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