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Large Scale Data Engineer
3 weeks ago
We seek a seasoned professional to lead our data engineering efforts. As a key member of our team, you will be responsible for designing and developing large-scale data processing systems that drive business intelligence.
Key Responsibilities
- Design and develop scalable and robust data pipelines that collect, process, and store large volumes of structured and unstructured data.
- Architect and implement data warehouses, data lakes, and other storage solutions that support analytics and reporting needs.
- Optimize data architectures and workflows for performance, scalability, and cost-efficiency.
- Collaborate with data scientists and analysts to understand data requirements and ensure that data systems meet their needs.
- Evaluate and implement emerging technologies to improve existing systems.
Requirements
- 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.
About the Role
This is an exciting opportunity to join our growing team of consultants and contribute to our client's success. We are looking for a highly skilled professional who can help us drive innovation and excellence in data engineering.
