Azure Data FactorySparkSQLPythonDatabricksSnowflake
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 :- 18th Jan 2024
JOB DETAIL
Design, develop, and implement robust and scalable data solutions using Azure technologies, including Azure Data Factory, Azure SQL Data Warehouse, Azure Databricks, and/or Azure Synapse Analytics.
Proficient in programming languages like Spark (with either Python or Scala), SQL
Experience with Databases like Sql Server, Teradata, Snowflake, Synapse.
Good understanding of data engineering principles, data modelling, data warehousing, and ETL/ELT processes which includes data testing, validation and reconciliation processes.
Hands-on experience with data integration and data transformation frameworks, tools, and methodologies.
Experience with version control systems like Git, GitHub etc
Collaborate with cross-functional teams and business teams to understand business requirements and translate them into technical designs and solutions.
Build and maintain data pipelines, data integrations, and data transformations to enable efficient data processing, storage, and retrieval.
Optimize data infrastructure and solutions for performance, scalability, and cost-efficiency, ensuring high availability and reliability.
Conduct data profiling, data validation, and data cleansing activities to ensure data integrity and accuracy.
Mentor and provide technical guidance to junior data engineers, freshers/interns, fostering knowledge sharing and skills development within the team.
Good to have:
Experience with version control systems, CI/CD pipelines, and automated testing frameworks.
Knowledge in streaming technologies, pipelines and frameworks like Kafka, EventHub, Azure Stream Analytics.