Job Description
Inviting applications for the role of Assistant Manager, Azure & SQL!
We are looking for an Azure data engineer, who help stakeholders understand the data through exploration, and build and maintain secure and compliant data processing pipelines by using different tools and techniques.
Responsibilities
Experience in understanding end to end process.
Experience in gathering requirements from stake holders and design/develop data for processing.
Experience with RDBMS, Azure services, Data modelling and ETL
Compute management, Data pipelines with Batch scheduling
Automate data access with logic apps
Qualifications we seek in you!
Minimum Qualifications
Relevant years exp in data analysis, management, and deliverables.
Extensive experience working with Json/csv formats in Azure Data Factory.
Extensive experience in working with Data Bricks Python API'S.
Experience in building logic apps and API connections in Azure.
Create data models based on business objectives to determine how data can be stored and organized to support business processes.
Should be able to write Complex SQL Queries from scratch and analyse the existing queries for optimization.
Should be able to develop code with industry standards from the scratch in any of the programming languages (Python, Java, Scala etc.,).
Should be able to write and optimize Stored Procedures, optimize indexes, use views when required, and knowledge on triggers in SQL (SQL Server or Oracle or MySQL).
Should be able to understand the existing Datawarehouse architecture and enhance the architecture as per the Business objectives.
Should have working knowledge on ETL Design and Development using Azure Data Factory and Azure Data Bricks.
Extensive knowledge on Spark on Cloud or on-premises is desirable and pulling data through API knowledge is desirable.
Should have worked on at least 2 projects end-to-end from Data Engineering perspective.
Understand DevOps and review the Pull Requests.
Good to have - Visualization tools like Power BI or Tableau and Machine Learning algorithms knowledge.
Ability to interact with end-users and translate business language into technical requirements.
Excellent written and oral communication skills and ability to express complex technical
concepts effectively, both verbally and in writing.
Excellent customer service skills.
Flexibility to adapt to a variety of engagement types, working hours and work environments and locations.
Superb communication and negotiation skills
Preferred Qualifications/ Skills
Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations.
Flexibility to adapt to a variety of engagement types, working hours, work environments and locations.
Excellent communication and negotiation skills