| Data Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: Rukmini, 4-Serve Solutions [email protected] Reply to: [email protected] Data Engineer Remote Retail/e-Commerce Client Non-negotiable: STIBO experience Skills: Data/ETL Testing: 5 years of experience in data and ETL testing. MDM Expertise: Proficiency in Master Data Management, specifically with Stibo. Data Processes: Skilled in data analysis, migration, validation, cleansing, verification, and handling data import/export. Tool Proficiency: Experience with other MDM/ETL tools and cloud-based MDM testing. Data Integrity: Ability to identify and address data integrity compliance gaps within quality systems. ETL Knowledge: Comprehensive understanding of ETL processes from various source systems to data marts and loads. Analytical Abilities: Capable of interpreting and testing data from diverse sources to support integration and reporting needs. Development/Testing: Proficient in developing and testing ETL solutions on cloud and on-prem platforms like Ab Initio, AWS Glue, Informatica, and Alteryx. Pipeline Construction: Expertise in building data flow CI/CD pipelines in GitLab. DevOps/DataOps: Experience in the DevOps and DataOps space. Data Modeling: At least 3 years of experience in data modeling principles and data integration techniques. Quality Management: At least 5 years of experience in data quality management and governance within an MDM environment. Communication: Strong communication and collaboration skills to effectively work with functional teams and stakeholders. Responsibilities: Data Integration: Design, develop, and maintain data integration processes ensuring seamless data flow across systems. Stibo MDM: Implement and configure Stibo MDM solutions to fulfill business requirements. Quality Assurance: Monitor, measure, and improve the quality of master data metrics. Testing: Conduct tests to ensure data accuracy, consistency, and reliability. Collaboration: Work closely with business units to confirm data quality policies and governance attributes. Documentation: Create and maintain documentation for data processes and systems. Compliance: Identify and address data integrity compliance gaps across quality systems. Data Analysis: Analyze data from various sources to support integration and reporting needs. Development/Testing: Develop and test ETL solutions on cloud and on-prem platforms. CI/CD Pipelines: Build and manage data flow CI/CD pipelines in GitLab. Team Interaction: Collaborate with key business functions and stakeholders to ensure data quality and governance practices are adhered to. Keywords: continuous integration continuous deployment Data Engineer [email protected] |
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| Mon Nov 04 23:08:00 UTC 2024 |