
Chief Data Scientist
1 week ago
We're seeking a skilled Data Architect to design and optimize our distributed data pipelines, infrastructure, and tools that power insights across our business.
Responsibilities- Design scalable data pipelines and infrastructure that meet evolving data needs.
- Assemble and manage large, complex datasets from diverse sources.
- Automate and optimize data processes for greater efficiency and scalability.
- Develop ETL workflows using SQL and cloud-based big data tools.
- Build analytics tools to deliver actionable insights into business performance.
- Collaborate with executives, product managers, architects, and analysts to ensure data systems are secure, reliable, and high-performing.
- 2–7 years of hands-on experience as a Data Engineer or similar role.
- A graduate degree in Computer Science, IT, Statistics, or a related quantitative field.
- Advanced knowledge of SQL and relational databases, with exposure to multiple database technologies.
- Proven experience building and optimizing big data pipelines, architectures, and data sets.
- Strong analytical skills, especially in handling unstructured datasets.
- Familiarity with cloud-based big data services and big data tools like Hadoop, Spark, Kafka.
- Proficiency in scripting/programming languages such as Python, Java, or Scala.
- Excellent communication skills and the ability to thrive in cross-functional teams.
Bonus Points
- Experience with stream-processing systems like Storm or Spark Streaming.
- Familiarity with ETL tools like Informatica, DataStage, or Azure Data Factory.
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