
Data Platform Specialist
2 days ago
We are seeking an experienced Senior Data Engineer to lead the development of a scalable data ingestion framework while ensuring high data quality and validation.
This role is ideal for someone with deep expertise in building and managing big data pipelines using modern technologies, and who is passionate about driving efficiency in data processing systems.
- Data Ingestion Framework Design & Development: Architect, develop, and maintain an end-to-end data ingestion framework that efficiently extracts, transforms, and loads data from diverse sources.
- Framework Optimization: Use cloud services such as Glue, Lambda, EMR, ECS, EC2, and Step Functions to build highly scalable, resilient, and automated data pipelines.
Data Quality & Validation Processes:
- Validation Routines: Develop and implement automated data quality checks and error-handling mechanisms to ensure the accuracy and integrity of incoming data.
- Monitoring & Reporting: Establish comprehensive monitoring, logging, and alerting systems to proactively identify and resolve data quality issues.
API Development:
- Design & Implementation: Architect and develop secure, high-performance APIs to enable seamless integration of data services with external applications and internal systems.
- Documentation & Best Practices: Create thorough API documentation and establish standards for API security, versioning, and performance optimization.
Collaboration & Agile Practices:
- Cross-Functional Communication: Work closely with business stakeholders, data scientists, and operations teams to understand requirements and translate them into technical solutions.
- Agile Development: Participate in sprint planning, code reviews, and agile ceremonies, while contributing to continuous improvement initiatives and CI/CD pipeline development.
Required Qualifications & Experience:
Experience & Technical Skills:
- Professional Background: At least 5 years of relevant experience in data engineering with a strong emphasis on analytical platform development.
- Programming Skills: Proficiency in Python and/or PySpark, SQL for developing ETL processes and handling large-scale data manipulation.
- Cloud Expertise: Extensive experience using cloud services including Glue, Lambda, Step Functions, and S3 to build and manage data ingestion frameworks.
- Data Platforms: Familiarity with big data systems (e.g., EMR, Apache Spark, Apache Iceberg) and databases like DynamoDB, Aurora, Postgres, or Redshift.
- API Development: Proven experience in designing and implementing RESTful APIs and integrating them with external and internal systems.
- CI/CD & Agile: Hands-on experience with CI/CD pipelines (preferably with GitLab) and Agile development methodologies.
Desirable Soft Skills:
- Strong problem-solving abilities and attention to detail.
- Excellent communication and interpersonal skills with the ability to work independently and collaboratively.
- Capacity to quickly learn and adapt to new technologies and evolving business requirements.
What We Offer:
- Opportunity to drive innovation and growth.
- Collaborative and dynamic work environment.
- Continuous learning and professional development opportunities.
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