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Databricks Developer

2 months ago

pune, India Luxoft Full time
Project Description:
You will be working in a global team that manages and performs a global technical control.
You'll be joining Security Services team which is looking after a global technical control and operates a set of in-house developed tooling.
As an IT engineer you'll play an important role in ensuring the development methodology is followed, and lead technical design discussions with the architects. Our culture centers around partnership with our businesses, transparency, accountability and empowerment, and passion for the future.
Responsibilities:
Design, build, and manage data pipelines using Azure Data Integration Services (Azure DataBricks, ADF, Azure Functions.)
Collaborate closely with the security team to develop robust data solutions that support our security initiatives.
Implement, monitor, and optimize data processes, ensuring adherence to security and data governance best practices.
Troubleshoot and resolve data-related issues, ensuring data quality and accessibility.
Develop strategies for data acquisitions and integration of the new data into our existing architecture.
Document procedures and workflows associated with data pipelines, contributing to best practices.
Share knowledge about latest Azure Data Integration Services trends and techniques.
Implement and manage CI/CD pipelines to automate data and UI testcases and integrate testing with development pipelines.
Implement and manage CI/CD pipelines to automate development and integrate test pipelines.
Conduct regular reviews of the system, identify possible security risks, and implement preventive measures.
Mandatory Skills Description:
Excellent command of English
Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
5+ years of experience in data integration and pipeline development using Azure Data Integration Services including Azure Data Factory and Azure Databricks.
Hands-on with Python and Spark
Strong understanding of security principles in the context of data integration.
Proven experience with SQL and other data query languages.
Ability to write, debug, and optimize data transformations and datasets.
Extensive experience in designing and implementing ETL solutions using Azure Databricks, Azure Data Factory or similar technologies.
Familiar with automated testing frameworks using Squash
Nice-to-Have Skills Description:
Power BI
DevOps
Previous work experience with Informatica DataQuality and Informatica PowerCenter (preferred)
Certifications in Azure Data Engineer or Azure Security Engineer (preferred)
Familiarity with scripting languages such as Python or PowerShell (preferred)
Experience working in Agile or Scrum development process (preferred)
Familiarity with Data Modelling and Design Patterns used for developing scalable data integration solutions (preferred)