Clinical Consultant managing product demand and training healthcare professionals in assigned accounts. Collaborating with sales to plan educational programs and ensure product usage.
About the role
- Data Engineer responsible for designing and maintaining data pipelines using Azure components and technologies. A role to ensure seamless data flow and optimize ETL processes.
Responsibilities
- Design, build, and maintain efficient, reusable, and reliable data pipelines.**Ensure data flow between different systems and databases is seamless and error-free.
- Develop and maintain ETL (Extract, Transform, Load) processes to aggregate data from various sources.**Ensure data quality and integrity throughout the ETL process.
- Optimize data pipelines and queries for performance.**Identify and resolve bottlenecks in data processing workflows.
Requirements
- Experience - 2 years or above
- Qualification - B.Tech, MTech
- Must have strong knowledge & hands on in Apache Spark and Python programming, working with Delta Tables, Experience in Databricks is must
- Strong SQL Skills: Data modelling, Developing SQL Store Procedures, Functions, Dynamic SQL queries, Joins
- Must be aware of development of components for data fetching from APIs
- Strong knowledge of Data Warehousing Concepts.
- Hands on experience in ingesting data from various data sources and data types & file types
- Should have good knowledge on development lifecycle , best practice, and coding standards. Should be able to help team members, review the code.
- Good knowledge in Azure DevOps, understanding of build and release pipelines
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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