Senior Data Engineer
Job Description
3Pillar Global is seeking a Senior Data Engineer to join their dynamic team in building cutting-edge data analytics solutions. This role combines technical expertise in data engineering with the opportunity to make a real-world impact. As a Senior Data Engineer, you'll be responsible for developing ETL pipelines, creating APIs, and working with big data platforms while collaborating with a global team. The position requires strong Python skills, experience with cloud platforms (GCP/AWS/Azure), and expertise in database technologies. You'll be part of a company that values work-life balance, offering flexible remote work options and comprehensive benefits. The role involves building scalable data solutions, maintaining high-quality code standards, and working closely with business intelligence teams to drive data-driven decision-making. With a minimum of 2 years of experience required, this position offers excellent growth opportunities in a global technology company that emphasizes both technical excellence and employee well-being. The company culture promotes diversity, open collaboration, and continuous learning, making it an ideal environment for professionals looking to advance their careers in data engineering.
Responsibilities For Senior Data Engineer
- Build shippable software following Engineering standards
- Build and maintain key Engineering blocks including APIs and Big Data implementations
- Support and extend current stack with new features
- Work on ad-hoc R&D projects
- Work with business intelligence users, operations and development teams
- Ensure on-time delivery with required quality
- Maintain company's data assets at required quality levels
- Design and build solid, efficient, stable APIs
- Maintain high standard of code
- Keep up to date with latest technologies and methodologies
- Ensure robust and highly scalable development approach
- Enforce best practices in code quality and process design
Requirements For Senior Data Engineer
- Python development skills
- Ability to implement ETL data pipelines in Python
- Creating REST APIs
- Advanced SQL scripting knowledge
- Experience with Google Cloud Platform, AWS or Azure
- 2+ years of experience in data or software development
- Knowledge of big data platforms
- Knowledge of relational databases
- Knowledge of Git, Docker, Bash language
- Ability to design and implement ETL solutions
- Understanding of continuous delivery pipeline
- Ability to select appropriate technology for tasks
Benefits For Senior Data Engineer
- Flexible work environment
- Global team collaboration
- Wellness programs
- Mental health plans
- Generous time off
- Career growth opportunities
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