Data Engineer

We're on the lookout for a Data Engineer who’s passionate about turning data into insights and building the infrastructure that powers decision-making. You'll be at the heart of collecting, storing, processing, and analyzing data sets selecting the best tools for the job, implementing and maintaining them, and ensuring they integrate seamlessly into our overall architecture.

We're on the lookout for a Data Engineer who’s passionate about turning data into insights and building the infrastructure that powers decision-making. You'll be at the heart of collecting, storing, processing, and analyzing data sets selecting the best tools for the job, implementing and maintaining them, and ensuring they integrate seamlessly into our overall architecture.

Requirements

• Solid foundation in object-oriented design and development
• Practical experience with:
• Unix/Linux systems and shell scripting
• Java/Scala programming
• Building and consuming RESTful APIs
• Working with SQL and NoSQL databases, including understanding data modeling and trade-offs
• Managing columnar, distributed, and row-based databases
• Strong research skills to discover and apply best practices
• Passion for improving systems, optimizing processes, and exploring new tech
• Proactive, self-motivated, and results-focused
• Excellent English communication skills, both written and spoken
• Experience with open-source big data technologies (Hadoop, HBase, Hive, Kafka, Storm, etc.) is a plus but not required.
• Familiarity with streaming architectures is a plus but not required
• Solid foundation in object-oriented design and development
• Practical experience with:
• Unix/Linux systems and shell scripting
• Java/Scala programming
• Building and consuming RESTful APIs
• Working with SQL and NoSQL databases, including understanding data modeling and trade-offs
• Managing columnar, distributed, and row-based databases
• Strong research skills to discover and apply best practices
• Passion for improving systems, optimizing processes, and exploring new tech
• Proactive, self-motivated, and results-focused
• Excellent English communication skills, both written and spoken
• Experience with open-source big data technologies (Hadoop, HBase, Hive, Kafka, Storm, etc.) is a plus but not required.
• Familiarity with streaming architectures is a plus but not required

Responsibilities

• Monitor and continuously improve data quality and reliability
• Recommend new approaches to make our data even more robust and actionable
• Develop insightful reports and dashboards for various stakeholders
• Build and maintain scalable data pipelines using Spark
• Monitor and continuously improve data quality and reliability
• Recommend new approaches to make our data even more robust and actionable
• Develop insightful reports and dashboards for various stakeholders
• Build and maintain scalable data pipelines using Spark