Job Description

• Noida, Uttar Pradesh, India

We're seeking a Data Engineer to help us scale our business to meet the needs of our growing customer base and develop new products on the Namely platform. You'll be a critical part of our growing company, working on a cross-functional team to implement best practices in technology, architecture, and process. You’ll have the chance to work in an open and collaborative environment, receive hands-on mentorship and have ample opportunities to grow and accelerate your career!

As a Data Engineer, you will work with the development team to construct a data streaming platform and data warehouse that serves as the data foundations for the Namely product. 

We’ve built a strong data engineering team to date, but have a lot of work ahead of us, including:

• Migrating from relational databases to a streaming and big data architecture, including a complete overhaul of our data feeds
• Defining streaming event data feeds required for real-time analytics and reporting
• Leveling up our platform, including enhancing our automation, test coverage, observability, alerting, and performance

Responsibilities:

• Build our next generation data warehouse
• Build our event stream platform
• Translate user requirements for reporting and analysis into actionable deliverables
• Enhance automation, operation, and expansion of real-time and batch data environment
• Manage numerous projects in an ever-changing work environment
• Extract, transform, and load complex data into the data warehouse using cutting-edge technologies
• Build processes for topnotch security, performance, reliability, and accuracy
• Provide mentorship and collaborate with fellow team members

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Operations Research, or related field required
• 3+ years of experience building data pipelines
• 3+ years of experience building data frameworks for unit testing, data lineage tracking, and automation 
• Fluency in Scala and at least one other server-side programming languages (e.g. Python, Java, Go)
• Working knowledge of Apache Spark
• Familiarity with streaming technologies (e.g., Kafka, Kinesis, Flink)

Desired Qualifications:

• Experience with Machine Learning 
• Familiarity with Looker a plus