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1 day ago
We are seeking a highly skilled professional to design, construct and optimize large-scale data processing systems that enable advanced analytics and business intelligence.
About the Role- Design, develop and maintain 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.
- 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).
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