Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Company Overview
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