MDM - Data Engineer

Greetings from Teknikoz

Experience : 6-8 Years

Roles and Responsibilities

• AWS Glue (ETL Development & Orchestration): Proven expertise in designing, developing, and optimizing ETL pipelines using AWS Glue, including Glue Catalogue and Glue Jobs for large-scale data processing.
• PySpark & Spark SQL: Hands-on experience in data processing with PySpark, performing advanced transformations, and writing optimized Spark SQL queries for high-volume datasets.
• Amazon S3 (Data Lake): Experience in designing and managing data lakes on Amazon S3, ensuring optimization and secure data access.
• Amazon RDS & Relational Databases: Skilled in database design, schema modelling, query tuning, and performance optimization on relational database systems.

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  Database Design & Data Modelling: Understanding of conceptual, logical, and physical database design to support analytics and reporting requirements.
• Master Data Management (MDM): Knowledge of MDM principles and implementation approach to ensure consistency, accuracy, and a single source of truth across enterprise data assets.
• Data Quality & Governance: Understanding of data quality frameworks, including validation, cleansing, standardization, and monitoring, to maintain high levels of trust and compliance in data assets.
• ETL / Data Integration: End-to-end expertise in building scalable, automated, and reusable ETL workflows for batch and near real-time data integration across heterogeneous data sources.
• Best Practices & Optimization: Strong focus on performance tuning, cost optimization, and following data engineering best practices for scalability, maintainability, and security in cloud environments