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 solutions5+ years of experience with Talend Data Integration and Talend Big Data ETL tool5 years working with RDBMS databases, preferably Snowflake3+ years programming and scripting in Python, Java, SQL, Unix Shell Scripting, and Stored Procedures2+ years programming and data streaming with Kafka and Azure Function App or similar technologies2+ years creating test plans, strategies, test cases, and test scripts for data systems2 years using job scheduling applications and security APIs2 years DevOps experience with tools like Jenkins, JFrog, GitHub, Control-M3 years working in Agile and Scrum frameworksPreferred Qualifications :
Bachelor's degree in Computer Science, Engineering, Mathematics, or a technical fieldExperience in building enterprise analytics solutions and leveraging Azure cloud architectureKnowledge of enterprise data and information managementExposure to Retail domain is a plusExposure to PIM and MDM systems is a plusSkills Required
Etl Development, Talend, Data Warehousing, Python, Sql, Azure Cloud