Senior Data Engineer Scala Data BRicks Multiple Locations
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:
- Own end-to-end development, including coding, testing, debugging and deployment.
- Building end to end architecture for Data Lakes, Data Warehouses and Data Marts.
- Data ingestion, preparation, integration and operationalization techniques in optimally addressing the data requirements.
- Be involved in programming using Scala or Python.
- 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:
- B.Tech in computer science or similar field with minimum of 3 + years of experience in Data Engineering.
- experience in ETL / Pipeline Development using tools such as Azure Databricks / Apache Spark and Azure Data Factory with development expertise on batch and real-time data integration.
- experience in programming using Scala or Python.
- experience in data ingestion, preparation, integration and operationalization techniques in optimally addressing the data requirements.
- experience in Cloud data warehouse like Azure Synapse, Snowflake analytical warehouse.
- experience with Orchestration tools, Azure Dev Ops and Git Hub.
- experience in building end to end architecture for Data Lakes, Data Warehouses and Data Marts.
- experience in relational data processing technology like MS SQL, Delta lake, Spark SQL.
- experience to own end-to-end development, including coding, testing, debugging and deployment.
- Extensive knowledge of ETL and Data Warehousing concepts, strategies, methodologies.
- Ability to provide solutions that are forward-thinking in data and analytics.
- Team oriented with strong collaboration, prioritization, and adaptability skills.
- Excellent written and verbal communication skills including presentation skills.
- Familiarity with Data Visualization and OLAP tools (Tableau, PowerBI)
- Familiarity with Azure services like Azure functions, Azure Data Lake Store, Azure Cosmos.
- Familiarity with Healthcare business data models.
- Ability to provide solutions that are forward-thinking in data and analytics.
Careers with Optum. Here\'s the idea. We built an entire organization around one giant objective; make the health system 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 United Health 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: Senior Data Engineering Analyst, Data Engineering Analyst, Data Engineering, Data Engineer, ETL, Pipeline Development, Azure Databricks, Apache Spark, Azure Data Factory, Scala, Python, Azure Synapse, Snowflake, Azure Dev Ops, Git Hub, Data Lake, Data Warehouse, Data Mart, MS SQL, Delta Lake, Spark SQL, Tableau, PowerBI, Azure Cosmos, Bangalore, KA, Karnataka, Hyderabad, TG, Telangana, Gurgaon, Human Resources , Haryana, Noida, UP, Uttar Pradesh.