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Senior Data Engineer-Data Bricks, Airflow, Snowflake, AI
Optum India
Hyderabad, IND
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
DatabricksApache SparkPySparkApache AirflowSnowflakePython
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DatabricksApache SparkPySpark
Role Overview
Optum is seeking a Senior Data Engineer to build scalable data platforms, APIs, and data services.
The role supports analytics, product, and platform teams by delivering reliable data engineering solutions.
Key Skills for This Role
DatabricksApache SparkPySparkApache AirflowSnowflakePython
Full Job Posting
Role overview
Optum is seeking a Senior Data Engineer to build scalable data platforms, APIs, and data services.
The role supports analytics, product, and platform teams by delivering reliable data engineering solutions.
Primary responsibilities
- Design and maintain scalable Databricks pipelines using Spark and PySpark.
- Orchestrate batch and incremental workflows with Apache Airflow.
- Build and optimize Snowflake ELT pipelines for performance, reliability, and cost efficiency.
- Develop Python data processing, transformation, integration, and API solutions.
- Deploy APIs through Azure Functions, App Services, and API Management.
- Apply Azure practices for security, scalability, monitoring, resiliency, and cost optimization.
- Implement data quality, logging, alerting, and observability across production pipelines.
- Collaborate with analytics, product, and platform teams on downstream data consumption.
- Participate in architecture design, code reviews, and technical decisions.
- Troubleshoot production issues across data pipelines and cloud infrastructure.
Required qualifications
- B.Tech, MCA, or another graduation-level qualification is required.
- At least 4 years of total experience is required.
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