Chief Data Architect
2 days ago
Job Summary
">- We're seeking a highly skilled Data Engineer to design and optimize our distributed data pipelines, infrastructure, and tools that power insights across our business.
About the Role
">- Collaborate closely with developers, architects, analysts, and data scientists to ensure smooth, secure, and efficient data delivery across multiple products and projects.
- Assemble and manage large, complex datasets from diverse sources, automate and optimize data processes for greater efficiency and scalability.
- Develop and manage ETL workflows using SQL and cloud-based big data tools, build analytics tools to deliver actionable insights into business performance.
- Evaluate and implement cutting-edge technologies to drive innovation in data engineering and analysis.
Requirements
">- 2–7 years of hands-on experience as a Data Engineer.
- 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.
- Working knowledge of cloud-based big data services (AWS, Azure, or GCP).
- Familiarity with big data tools such as Hadoop, Spark, Kafka, etc.
- Experience with ETL tools like Informatica, DataStage, or Azure Data Factory.
- Knowledge of stream-processing systems like Storm or Spark Streaming.
- Proficiency in scripting/programming languages such as Python, Java, or Scala.
- Excellent communication skills and the ability to thrive in cross-functional teams.
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