Digital Finance -Azure Data Engineer - Senior

Operational

• Design, develop, and support data solutions using Azure platform to enhance operational efficiency and data integrity.
• Utilize expertise in Python, PySpark, and SQL to analyze complex datasets and generate insightful reports that drive improvements in client operations.
• Implement configurations and develop technical solutions that automate processes and ensure seamless integration of data across various cloud platforms.

Functional

• Build ETL workflows and automate data pipeline tasks using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and AWS Glue.
• Develop scripts and automation tools for data ingestion and transformation, leveraging PySpark and other libraries to streamline processes.

Create and manage robust data processing applications, ensuring effective

Strategic

• Collaborate with cross-functional teams to identify and implement process improvements, driving standardization and efficiency in data operations.
• Contribute to the development of technical strategy that aligns with business goals, enhancing data-driven decision-making capabilities.

Client Interactions

• Work with global stakeholders to understand their data needs and develop customized solutions using Azure and AWS platforms.

Communicate complex technical concepts clearly to non-technical stakeholders, ensuring alignment with strategic objectives and business requirements.

Educational qualifications

Minimum Qualification Required

B. Tech/MBA from a recognized Tier-1 institute

Professional Certifications Required

Data Engineer Certifications

Work experience

Total Number of Years of Work Experience

4+ years

Relevant Number of Years of Work Experience Required

4+ Years

• Special Call Outs on the Nature of Work Experience: Experience in client-facing roles with demonstrated skills in business process improvement and technology implementation. (Preferably from Big 4 or other consulting firms)