Digital Finance -Azure Data Engineer - Senior

Description

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

Responsibilities

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.

Qualifications

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)