
Chief Data Architect
1 week ago
As a key member of our data team, you will play a vital role in designing and optimizing complex data pipelines, infrastructure, and tools to deliver insights across multiple products and projects.
With a focus on scalability, security, and efficiency, you will collaborate closely with developers, architects, analysts, and data scientists to ensure smooth, secure, and efficient data delivery.
Transforming raw data into actionable insights, you will thrive in a fast-paced, innovation-driven environment that fosters collaboration and growth.
- Design scalable data pipelines and infrastructure to meet evolving business 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 meet evolving data needs.
- Ensure data systems are secure, reliable, and high-performing.
What We're Looking For:
- Hands-on experience as a Data Engineer.
- A graduate degree in Computer Science or a related quantitative field.
- Advanced knowledge of SQL and relational databases.
- Proven experience building and optimizing big data pipelines and architectures.
- 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.
Benefits:
- Opportunities for growth and professional development.
- Collaborative and dynamic work environment.
- Chance to work on challenging projects and make a meaningful impact.
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