Key Responsibilities:

Design and develop highly scalable and extensible data pipelines for collection, storage, distribution, modeling, and analysis of large datasets
Develop and implement data quality frameworks including unit, integration, and functional tests, with thorough documentation
Build new data integrations, including APIs, to handle increasing data volume and complexity
Develop scalable pipelines to improve data management, analytics, and reporting efficiency
Ensure compliance with data governance processes to maintain quality, usability, consistency, integrity, and security
Implement solutions aligned with architectural and data governance standards for integrations, storage, reporting, and analytics
Perform data analysis to troubleshoot and resolve data-related issues
Collaborate with stakeholders and IT leaders to deliver solutions meeting business needs
Communicate effectively across all organizational levels to influence and drive results
Leverage expertise in data warehousing, data modeling, DevOps/CI-CD, API integration, big data, data streaming, and cloud computing platforms (e.g., Azure)

Minimum Qualifications:

5+ years of engineering experience in Data and Analytics and MDM, focusing on scalable solutions
5+ years of experience with Talend Data Integration and Talend Big Data ETL tool
5 years working with RDBMS databases, preferably Snowflake
3+ years programming and scripting in Python, Java, SQL, Unix Shell Scripting, and Stored Procedures
2+ years programming and data streaming with Kafka and Azure Function App or similar technologies
2+ years creating test plans, strategies, test cases, and test scripts for data systems
2 years using job scheduling applications and security APIs
2 years DevOps experience with tools like Jenkins, JFrog, GitHub, Control-M
3 years working in Agile and Scrum frameworks

Preferred Qualifications:

Bachelor's degree in Computer Science, Engineering, Mathematics, or a technical field
Experience in building enterprise analytics solutions and leveraging Azure cloud architecture
Knowledge of enterprise data and information management
Exposure to Retail domain is a plus
Exposure to PIM and MDM systems is a plus

Senior Engineer EIM Talend & MDM