
Chief Data Infrastructure Specialist
1 week ago
We are seeking a Data Engineer to design and optimize our distributed data pipelines, infrastructure, and tools that power insights across our business.
This is an exciting opportunity to join a fast-paced innovation-driven environment and transform raw data into actionable insights.
Key Responsibilities- Design and build scalable data pipelines and infrastructure using cutting-edge technologies.
- Assemble and manage large, complex datasets from diverse sources to drive business growth.
- 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.
- Collaborate with executives, product managers, architects, and analysts to meet evolving data needs.
- Ensure data systems are secure, reliable, and high-performing.
- Support data scientists and analysts by creating data tools and environments for advanced analytics.
- 4–9 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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