Data Integration Engineer
Core Responsibilities Data Engineering Tasks:
- Creation of ETL jobs to make our partners' data available to other teams, handling diverse data sources, including APIs and files in CSV, Avro, or Parquet format with several million rows
- Technical implementation and maintenance of data pipelines and infrastructure
- Cross-functional Team Leadership: Facilitate collaboration between technical teams, including infrastructure, data science, security, and engineering teams to identify bottlenecks and develop solutions
- Problem-Solving Facilitation: Work with technical teams to analyze complex challenges, facilitate brainstorming sessions, and guide teams through systematic problem-solving approaches
- Stakeholder Coordination: Identify and bring together the right technical experts and resources for specific projects, ensuring optimal team composition for project success
- Project Planning & Execution: Support implementation of small-scale migrations, updates, and infrastructure changes while ensuring smooth project execution and timeline adherence
- Technical Documentation Review: Analyze and review technical specifications, requirements documents, and project documentation to ensure completeness and accuracy
- Compliance Oversight: Contribute to automated compliance and security initiatives, monitor audit logs, and support penetration testing activities while ensuring adherence to regulatory requirements
- Process Documentation: Maintain project documentation, track progress, and ensure knowledge transfer across teams
- Serve as a liaison between multiple teams, coordinating work streams and ensuring alignment on project objectives
- Build tailored automation solutions that enhance team efficiency and reduce manual work
- Monitor project risks and proactively address potential issues before they impact deliverables
Experience
- 1-2 years of experience in data engineering, along with project management experience or demonstrated skills
- Project coordination experience working with technical teams or cross-functional groups
- Scripting: Proficiency in Python (preferred)
- Database Management: General SQL knowledge (we mostly use MySQL and BigQuery)
- Cloud Platforms: Familiarity with AWS, GCP, or Azure (we use Google Cloud Platform)
- API Integration: Basic understanding of REST APIs and their use in data integration
- Workflow Orchestration: Basic knowledge of (or ability to grasp) tools like Prefect, Airflow, GitHub Actions
- Team Facilitation: Ability to coordinate and facilitate discussions between technical teams
- Resource Management: Skills in identifying and mobilizing appropriate technical resources for project needs
- Process Management: Understanding of project lifecycle management and ability to track multiple workstreams
- Documentation Skills: Strong ability to read, analyze, and create technical documentation
- Problem-Solving: Proactive attitude with strong analytical thinking and ability to investigate and resolve technical issues collaboratively
- Communication: Excellent written and verbal communication skills with ability to translate between technical and business stakeholders
- Organization: Strong ability to manage multiple tasks, prioritize effectively, and coordinate across teams
- Learning Agility: Genuine desire to learn new technologies and adapt to changing priorities
- Leadership Mindset: Ability to guide teams through challenges without direct authority
- Compliance Awareness: Understanding of regulatory requirements and attention to detail for compliance-related activities
- Ability to think strategically about problem resolution while maintaining hands-on technical involvement
- Strong facilitation skills to help teams reach consensus on technical approaches
- Experience in bringing together diverse technical expertise to solve complex challenges
- Understanding of compliance frameworks and ability to ensure adherence throughout project lifecycle
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