Staff Software Engineer - DSM

Cint is a global software leader in technology-enabled digital insights and research technology. They are seeking a Staff Software Engineer to join their Data Solutions & Measurement team, where the candidate will design, implement, scale, and maintain backend systems that process large volumes of data while collaborating with multiple teams.

Responsibilities:

• Design, implement, scale, and maintain backend systems that process large volumes of data
• Work on event-driven and API-based integrations
• Contribute to migration efforts toward a more domain-based and scalable architecture
• Build and optimize software for performance-sensitive workflows
• Investigate technical problems and propose solutions together with the team
• Collaborate closely with data science and engineering colleagues on technical solutions
• Participate in a collaborative development model where work is shared rather than handled alone

Requirements:

• 10+ years of backend software engineering experience, with strong technical depth
• We're technology agnostic, so, you're more than welcome to switch your main language (Python, Scala, C/C++, Haskell, Elixir, Go, Ruby, etc...) to Java (our core language)
• Solid understanding of algorithms (HashTables, Maps, etc.), data structures (Anomaly Detection, Dynamic Routing, etc.), Big O notation, Architecture (event-drive-architecture)
• Familiarity with heavy data processing tools and technologies such as Spark, Apache ecosystem tools, Delta Lake, Parquet, Kafka, and Avro
• Experience with Python and/or PySpark
• Experience building or maintaining complex, real-time, high-volume systems with high-throughput and low-latency
• Experience with Docker, SQL, and NoSQL databases
• Experience with REST APIs and event-driven integrations
• Comfortable working in performance-oriented, production-critical environments with high-throughput & low latency systems
• Strong problem-solving skills and a proactive, collaborative working style
• Ability to communicate well with engineers and data science partners
• Computer science, computer engineering or a related field is preferred
• Experience with AWS, GCP or other cloud providers
• Experience with Pandas
• Experience with Spring framework and microservices
• Experience working in large-scale data or analytics environments