Microsoft SQL ServerT-SQLPL/SQLAzure Data FactoryAzure Data StudioAzure Analytics StudioO Auth2.0JWTPythonPySparkSpark SQL and Azure CloudSQLProcedures. TriggersFunctions
Work Authorization
US Citizen
Green Card
EAD (OPT/CPT/GC/H4)
H1B Work Permit
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
Contract to Hire
Employment Type
Consulting/Contract
education qualification
UG :- - Not Required
PG :- - Not Required
Other Information
No of position :- ( 1 )
Post :- 11th Apr 2025
JOB DETAIL
Collaborate with internal customers, prospects, and stakeholders to understand and translate business use cases and requirements into data analysis and data mapping.
Develop data integration routines that involve moving, cleansing, and transforming large amounts of data between multiple systems.
Identify data sources, provide data flow diagrams, and document source-to-target mapping and processes.
Work with the Data Architect to recommend optimal data models for data ingestion and collaborate with the BI developer for analytic reports.
Provide technical enablement to team members developing database applications on a cloud platform.
Lead small teams of 1-2 junior developers in data integration efforts, utilizing ETL design patterns, error handling, and configurations.
Design, implement, and maintain database objects (tables, views, indexes, etc.) and database security.
Utilize Azure database tools and technologies, including Azure Data Studio and Azure Analytics Studio,to develop, maintain, and optimize database applications and solutions1.
Collaborate with data stewards, data owners, and domain experts to adopt best practices in reporting and analysis, ensuring data integrity, test design, validation, and documentation.
Optimize batch processing through parallelization and performance tuning to maintain data warehouse performance.
Establish processes for governing the identification, collection, and use of educational metadata to ensure accuracy and validity in business intelligence environments.
Ensure data quality through audit controls, proactive monitoring, and data cleansing techniques.
Troubleshoot performance and reliability issues and investigate anomalous behavior in the Azure environment.
Perform scheduled data process integrity checks, deployments, and coordinate releases.
Utilize source version control software like GitHub and CICD pipelines.