Data Engineer - Cognizant
Cognizant Singapore
Job Summary
As a Data Engineer, you will play a key role in designing, developing, and maintaining data pipelines and platforms to support business analytics, reporting, and data science initiatives. You will collaborate with cross-functional teams to deliver high-quality, reliable, and scalable data solutions.
Key Responsibilities- Prepare datasets and data pipelines to support business needs and troubleshoot data-related issues.
- Collaborate with Data & Analytics Program Management and stakeholders to co-design the Enterprise Data Strategy and Common Data Model.
- Implement and promote Data Platform solutions, transformative data processes, and services.
- Develop and test data pipelines and structures for Data Scientists, ensuring fitness for use.
- Maintain and model JSON-based schemas and metadata for organizational reuse.
- Resolve and troubleshoot data-related issues and queries.
- Cover all processes from enterprise reporting to data science, including ML Ops.
- Hands-on experience with Big Data technologies and open-source components (e.g., Hadoop, Hive, Spark, Presto, NiFi, MinIO, Kubernetes, Kafka).
- Experience in stakeholder management within diverse business and technology environments.
- Experience in banking or financial services, handling sensitive data across regions.
- Experience in large-scale data migration projects with on-premises Data Lakes.
- Experience integrating Data Science Workbench platforms (e.g., Knime, Cloudera, Dataiku).
- Demonstrated track record in Agile project management and methodologies (e.g., Scrum, SAFe).
- Knowledge of reference architectures for integrated, data-driven landscapes and solutions.
- Advanced SQL skills, preferably in mixed environments (classic DWH and distributed).
- Proficiency in Python for automation and troubleshooting, using Jupyter Notebooks or common IDEs.
- Experience with data preparation for reporting/analytics and visualization tools (e.g., Tableau, Power BI, Python-based).
- Ability to apply data quality frameworks within architectural solutions.
- Excellent command of English; proficiency in other languages is a plus if relevant to the role.
- Bachelor's degree or higher in Computer Science, Information Systems, or a related field.
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