Azure Data Engineer
Azure Data Engineer
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1 Vacancy
Job Description
Skills: Snowflake DBT Python Azure
Overall 1012 years experience as Data Engineer on the Microsoft Azure cloud platform
Snowflake (Columnar MPP Cloud data warehouse) DBT (ETL tool) Python
Deep experience with SQL database design optimization and tuning
Experience designing and implementing Data Warehouse
Strong understanding of Azure services and expertise on Data Lake Data Factory and Data Bricks
Healthcare industry experience preferred
Experience with opensource relational database (e.g. PostgreSQL MSSQL etc.)
Experience in Shell Scripting and one other objectoriented language such as Python or PhP.
Strong experience in continuous integration and development methodologies tools such as Jenkins and experience using GitHub.
Experience in an Agile development environment
Programming skills particularly SQL Shell Scripting and Python
Good oral and written communication skills
Responsibilities:
Managing data activities such as data requirements gathering data analysis/modelling and data issues resolution using standard approved technology
Managing standardization migration transformation validation and quality assurance of data within multidatabase platforms
Leveraging internal and external ETL tools for data processing and publishing
Identifying and maintaining company databases including data sources data structures data organization and data optimization
Identifying complex issues proactively and is responsible to see them through resolution including identifying trends through data analysis and manipulation.
Specific client data life cycles from discovery to implementation to maintenance
Formulating and monitors policies procedures and standards relating to database management
Responding to production defects and relaying information back to the Operations Manager to communicate with clients.
Contributing to all phases of the data and software development lifecycle when needed
Creating and maintaining code through GitHub repository for change control
Supporting off hours data processing and emergency requests
Employment Type
Full Time
