
Chief Data Architect
4 days ago
Job Opportunity
">We are seeking an experienced Data Engineer to join our team. As a key member of our data group, you will be responsible for designing and optimizing our distributed data pipelines, infrastructure, and tools that power insights across our business.
">Responsibilities include:
">- ">
- Designing, building, and maintaining scalable data pipelines and infrastructure.">
- Assembling and managing large, complex datasets from diverse sources.">
- Automating and optimizing data processes for greater efficiency and scalability.">
- Developing and managing ETL workflows using SQL and cloud-based big data tools.">
- Building analytics tools to deliver actionable insights into business performance.">
- Collaborating with executives, product managers, architects, and analysts to meet evolving data needs.">
- Ensuring data systems are secure, reliable, and high-performing.">
- Supporting data scientists and analysts by creating data tools and environments for advanced analytics.">
Requirements
">To succeed in this role, you will need:
">- ">
- 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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