Job Title : Azure Databricks Engineer(Databricks Engineer)
Position : Hybrid ( Twice in a week )
Location : Jersey City , NJ (Must Be local with DL Copy)
Experience: 12+ Years ( Mandatory)
Interview Process: 1st round- Virtual & 2nd Round - Onsite interview(Jersey City) .
Looking with the knowledge of Architect Level, who is able to work on independently .
JOB SUMMARY
The Risk Technology Team is seeking a talented and motivated senior Azure Data Engineer. The role will be responsible for developing, deploying solutions for risk, regulatory, compliance projects on Azure platform and be at the forefront of on-prem to cloud migration initiative.
SCOPE
The Azure Cloud Engineer strategizes, designs, develops and work with a team of dynamic and passionate data engineers to deliver automated cloud infrastructure and DevOps solutions. The incumbent will play a key role in supporting the growth and scale of our Azure cloud-based technology infrastructure. This role is also responsible for complex interface process development, troubleshooting issues, supporting weekend maintenance and production support.
PRIMARY RESPONSIBILITIES
The job responsibilities are described herein:
- Responsible for the administration, configuration, and optimization of the Azure Databricks platform.
- Provide technical expertise to deploy applications on the platform, and work with data engineers, data scientists, and other stakeholders to ensure the platform meets their requirements.
- Manage the infrastructure and collaborates with teams to ensure it integrates with all components, including network, security, and remote access.
- Databricks Cluster configuration, Unity catalog repository configuration.
- Seamless integration with On-prem databases and Power BI reports
- Build large-scale batch and real-time data pipelines with data processing frameworks in Azure cloud platform.
- Partner with architects, engineers, information analysts, business, and technology stakeholders for developing and deploying enterprise grade platforms that enable data-driven solutions.
- Provide technical guidance on technology implementation and architectural changes.
- Coordinating with SMBC platforms, APIM, Azure DevOps, and Support.
- Analyze and design technical solutions on Azure to address business needs.
- Develop, test, and modify software to improve efficiency of data platforms and applications.
- Proficient in Python coding and frameworks knowledge.
- Own projects end to end, working with business stakeholders, IT teams, data stewards, and 3rd party companies to ensure accurate and insightful outcomes.
- Integrating data from a variety of sources, assuring that they adhere to data quality and accessibility standards.
- Enable streaming data use-cases and standard design patterns in a big data environment.
- Collaborating with data scientists to integrate algorithms and models into automated processes.
- Applying expertise, judgment, and precedents to contribute to the resolution of moderately complex problems.
- Review and provide feedback on core code changes and support production deployment.
- Ability to migrate the Data Science models written on native python language to the multi node Databricks compute is desirable
CORE TECHNOLOGIES
Azure Databricks, Azure Data Factory, Azure Functions, Azure Data Lake storage, Azure Event Grid, Azure Log Analytics, Azure Monitor, Azure Service Bus, R, Python, SQL Server, Oracle / PL-SQL, T-SQL and SQL stored procedures, Azure DevOps
QUALIFICATIONS
• IT professional experience in Azure Cloud with over 5+ years of Azure Development
• Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment
• Excellent interpersonal and communication skills
• Experience with software configuration management tools such as Git/Gitlab
• Experience with continuous integration and deployment (CI/CD) tools such as Azure DevOps
• Experience working on Risk Management projects within Equities or Fixed Income space is highly desirable