MDM - Data Engineer

Talent Bridge Consultancy Services

6 - 8 years

12 - 14 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

master data management data modelling pyspark database design data governance data engineering etl development sql data integration

Work Mode

Remote

Job Type

Full Time

Job Description

Position Title:

Experience:

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Mode

Contract Duration

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.
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

Note: Immediate joiners are preferred

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