
Lead Data Engineering Specialist
2 days ago
Job Title: Senior Data Engineer
Description:
As a seasoned professional, we are seeking an accomplished Data Architect to join our team and take on the challenge of designing and building large-scale real-time stream & batch data processing systems. The ideal candidate will have a strong background in data engineering and be able to collaborate with cross-functional teams to deliver high-quality results.
Responsibilities:
- Design and implement scalable data pipelines using industry-leading technologies.
- Collaborate with engineers and product managers to identify business requirements and design solutions.
- Develop and maintain software applications using Java, Python, or similar programming languages.
- Write unit and end-to-end tests for code developed.
- Own scalability, high availability, and data security for services designed.
- Mentor junior developers in best practices and emerging technologies.
Requirements:
- 5+ years of experience in data engineering and architecture.
- Proven track record of building ETL and Analytics applications.
- Excellent programming skills in Python, Java, or similar languages.
- Experience with SQL and NoSQL databases as well as REST APIs.
- Knowledge of modeling data warehouses in BigQuery/RedShift.
- Experience working with DBT or Dataform for building data pipelines.
- Ability to build and embed dashboards using industry-standard tools.
- Understanding of distributed systems and streaming concepts and principles.
- Capacity to adapt to new technologies and frameworks.
- Strong communication, teamwork, and problem-solving skills.
- Will to learn new things and cutting-edge technology.
Good to Have:
- Experience with modern big data stacks (e.g., Kinesis, Flink, BigQuery, etc.).
- Familiarity with serverless architecture and systems (AWS Lambda, GCP Cloud Functions).
- Working history with AWS and GCP, serverless architecture.
What We Offer:
- Competitive compensation package and comprehensive benefits.
- Opportunities for continuous career growth and development.
- Exposure to leading-edge technologies and advanced cybersecurity practices.
- A dynamic and enjoyable work environment that recognizes exceptional work.
- Clear and transparent policies.
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