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2 days ago
As a data engineering professional, you will be pivotal in designing and implementing large-scale data processing systems on the Azure cloud platform.
Key Responsibilities:
- Develop, maintain, and optimize complex data pipelines utilizing Azure technologies such as Function Apps, APIs, DevOps, Databricks, Data Factory, and Synapse.
- Design, implement, and manage incident management, problem management, change management, and service management processes to ensure seamless data operations.
- Maintain high-quality code by leveraging version control tools like Git/SVN/others and adhering to industry best practices.
- Collaborate with cross-functional teams to develop, deploy, and refine data engineering solutions.
Desirable Skills and Qualifications:
- Experience with RDBMS, ETL, Autosys, Unix, and Python (Pyspark).
- Proficiency in Python, MS SQL, and Tableau.
- Azure certifications are highly desirable.
- Ability to create clear, concise technical documentation.
- Background in banking domain is an added advantage.
Benefits and Opportunities:
- Opportunity to work on cutting-edge data engineering projects.
- Collaborative team environment with experienced professionals.
- Chance to develop skills in emerging technologies and tools.
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