About this role
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)