Data Engineering Consultant
- Optum
- 3 - 7 years
- Bengaluru
- 8 days ago
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Job Description
- Data Pipeline Development
- Values: Service Excellence, Accountability, Continuous Improvement
- Behaviors: Urgency, Positivity
- Build and maintain ETL/ELT pipelines using SQL Server, SSIS, Azure Data Factory, Snowflake, Airflow, and dbt
- Ensure timely and accurate data movement across systems
- Monitor pipeline health and escalate issues proactively
- Participate in peer reviews and contribute to performance tuning
- Reporting & Data Delivery
- Values: Clinical Quality, Service Excellence, Inclusion
- Behaviors: Positivity, Respect
- Support reporting via SSRS, Power BI, and Tableau
- Validate data accuracy and ensure reports meet stakeholder needs
- Collaborate with analytics teams to deliver actionable insights
- Promote inclusive design and self-service reporting practices
- Documentation & Support
- Values: Integrity, Accountability
- Behaviors: Service, Respect
- Document pipeline logic, dependencies, and support procedures
- Respond to service requests and incidents via ServiceNow
- Follow change control and governance standards
- Maintain clear records of work and decisions
- Collaboration & Learning
- Values: Teamwork, Inclusion, Continuous Improvement
- Behaviors: Positivity, Respect
- Participate in sprint planning, retrospectives, and design reviews
- Share knowledge through documentation and peer support
- Communicate clearly across technical and non-technical teams
- Embrace feedback and model a growth mindset
- 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
- Experience or knowledge in the following technologies & tools:
- Databases - SQL Server, Azure SQL, Snowflake
- ETL/ELT - SSIS, Azure Data Factory, Airflow, dbt
- Reporting - SSRS, Power BI, Tableau
- DevOps & CI/CD - Azure DevOps, GitHub Enterprise
- Monitoring & Metadata - Grafana, DataHub
- Modeling & Architecture - ER/Studio, Visio
- Cloud & Containers - Azure, Kubernetes
- Security & Compliance - HIPAA, ITIL, ServiceNow
- Other Tools - Redgate Toolbelt, Power Automate
Job Classification
Industry: RetailFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: OptumLocation(s): Bengaluru
Keyskills: data engineering kubernetes data pipelines sprint sql analytics devops etl architecture azure snowflake github azure sql performance tuning airflow power bi elt sql server tableau servicenow grafana compliance visio dbt ssis
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