Experienced Engineer, Data Management
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and support batch and real-time data pipelines to deliver accurate and timely data for analytics and reporting.
Prepare, profile, cleanse, standardize, and organize structured and unstructured data for downstream analytics and AI use cases.
Implement data quality controls, integrate enterprise data sources, document data lineage, and automate workflows to improve scalability and reliability.
Minimum Requirements
Bachelor’s degree or equivalent in Computer Science, Engineering, Information Systems, Statistics, Mathematics, Data Science, Economics, Finance, or related quantitative field.
Minimum 5 years of experience in data engineering, data management, analytics, or comparable technical fields.
Hands-on experience with Python, R, Scala, SQL, or ETL tools (e.g., Alteryx, KNIME) for building production data pipelines.
Experience with enterprise data platforms and cloud technologies such as Databricks, Azure, AWS, or GCP.
Ideal Candidate Profile
Experienced in integrating and managing enterprise data with a focus on data quality and governance controls.
Skilled in working with both structured and unstructured data to solve analytics and business intelligence challenges.
Familiarity with automation, AI-assisted analytics, machine learning concepts, and responsible AI practices in a regulated enterprise environment.