Reply
Data Engineer
About this role
A Data Engineer role focused on building and maintaining data pipelines and infrastructure to support analytics and business intelligence initiatives. You'll design scalable data systems, optimize data flows, and collaborate with analytics and engineering teams.
What you'll do
- Design and implement robust data pipelines and ETL processes
- Build and maintain data warehouse and lake infrastructure
- Optimize database performance and query execution
- Collaborate with analysts and data scientists on data requirements
- Monitor data quality and implement validation frameworks
- Document data architecture and technical processes
What they're looking for
- ETL/ELT tools and frameworks
- SQL and relational databases
- Python or Java programming
- Cloud platforms (AWS, GCP, or Azure)
- Data warehousing concepts
- Apache Spark or similar distributed processing
- Git and version control
- Problem-solving and communication
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Reply
Reply builds enterprise software solutions across identity and access management, cloud infrastructure, and mobile/web applications, with a focus on client relationships and secure, modern technology stacks. The company is hiring software engineers, developers, and infrastructure specialists in areas including iOS development, C# and React, IAM platforms, and DevOps/Kubernetes.
View all jobs at ReplyLikely interview questions
- Describe your experience designing ETL pipelines and how you ensured data quality and reliability.
- What cloud platforms have you worked with, and how did you leverage them for data engineering tasks?