Senior Data Engineer

Key Responsibilities

Data Architecture & Design

• Contribute to the design of scalable, agile, and robust data architecture solutions
• Develop enterprise data models and information infrastructure across business domains
• Define how data flows across systems such as CRM, Finance, HR, and Sales platforms
• Design data persistence solutions using relational and non-relational databases

Data Pipeline Development & Engineering

• Build and maintain data pipelines from internal and external data sources
• Develop systems for data ingestion, cleansing, transformation, and normalization
• Handle structured and unstructured data using modern data engineering practices
• Implement event-driven and streaming-based data pipelines

Master Data Management (MDM) & Data Governance

• Design and implement MDM strategies using Informatica MDM suite
• Develop and support metadata management, data quality, and governance frameworks
• Ensure consistency, accuracy, and integrity of enterprise master data
• Support compliance with data governance policies and standards

Cloud & Platform Engineering

• Develop solutions using cloud platforms such as Azure and AWS
• Work with data lakes, distributed systems, and cloud-native architectures
• Implement microservices, streaming technologies, and scalable data systems
• Enhance data processing capabilities using modern cloud tools

Data Integration & Advanced Analytics Support

• Integrate data from multiple enterprise systems and external sources
• Support analytics and reporting through high-quality, well-structured datasets
• Build reusable data assets for business intelligence and machine learning use cases
• Develop proofs of concept (POCs) to validate architecture and solution approaches

Technical Leadership & Mentoring

• Provide functional leadership to a team of data engineers in Agile environments
• Mentor junior engineers and guide best practices in data engineering
• Support cross-functional collaboration with architects, product managers, and software engineers
• Ensure timely delivery of data solutions with high quality standards

Operations & Continuous Improvement

• Monitor and optimize performance of data pipelines and storage systems
• Troubleshoot and resolve data-related issues in production environments
• Continuously improve data architecture and engineering practices
• Ensure reliability, scalability, and efficiency of data platforms