Data Engineer – Contractor
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Job Description
Data Engineer designing and building reliable data pipelines for Fintech at myPOS. Creating scalable data architecture and ensuring data quality for business insights.
Responsibilities:
- Design, build, and operate scalable, reliable data pipelines and data infrastructure
- Ensure high-quality data is accessible, trusted, and ready for analytics and data science
- Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
- Develop and evolve scalable data architecture to meet business and performance requirements
- Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics
- Implement best practices for data quality, testing, monitoring, lineage, and reliability
- Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)
- Ensure secure data handling and compliance with relevant data protection standards and internal policies
- Contribute to documentation, standards, and continuous improvement of data platform and engineering processes
- Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices
- Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code
Requirements:
- Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
- 3+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets
- Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies for ETL/ELT processes
- Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment
- Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
- Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
- Collaborative mindset and clear communication across engineering, analytics, and business stakeholders
Benefits:
- Excellent compensation package
- myPOS Academy for upskilling and training
- Unlimited access to courses on LinkedIn Learning
- Refer a friend bonus as we know that working with friends is fun
- Teambuilding, social activities and networks on a multi-national level
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