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2 weeks ago
We seek an experienced Senior Data Engineer to design, develop, and maintain large-scale data processing systems that enable advanced analytics and business intelligence.
This role requires collaboration with data scientists, analysts, and other engineers to ensure the availability, reliability, and efficiency of our Databricks solution.
Key Responsibilities:- Data Pipeline Design: Design, develop, and maintain scalable and robust data pipelines that collect, process, and store large volumes of structured and unstructured data.
- Data Architecture: Architect and implement data warehouses, data lakes, and other storage solutions that support analytics and reporting needs.
- Performance Optimization: Optimize data architectures and workflows for performance, scalability, and cost-efficiency.
- Data Governance: Ensure data quality, integrity, and security by implementing best practices in data governance and management.
- Mentorship: Mentor and guide junior data engineers, providing technical leadership and support.
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
- 5+ years of experience in data engineering or related fields, with a focus on large-scale data systems.
- 3+ years of experience with Databricks.
- Proficiency in SQL and experience with databases such as MySQL, PostgreSQL, or NoSQL databases.
- Strong programming skills in languages such as Python, Java, or Scala.
- Experience with ETL tools and frameworks and data pipeline orchestration.
- Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, GCP, Azure).
- Strong understanding of data warehousing concepts, data modeling, and schema design.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and ability to work effectively in a team-oriented environment.
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