2 months ago
Bengaluru, IndiaStaff+
Responsibilities
- Align technical solutions with client strategic initiatives and business requirements.
- Interface with Fortune 500 customers and VP- and Director-level stakeholders, including travel to client locations.
- Design, develop, and evolve scalable, fault-tolerant distributed components using big data technologies.
- Develop and support applications, integrations, and data management solutions.
- Guide developers in day-to-day design and coding tasks and contribute to technical hiring.
- Define technical requirements, extract and transform data, automate and productionize jobs, and explore big data technologies in parallel-processing environments.
- Design and implement APIs, abstractions, and integration patterns for distributed computing challenges.
Requirements
- 8+ years of relevant work experience and a computer science or related technical degree.
- Experience architecting and delivering enterprise-scale applications, developing frameworks and design patterns, solving technical challenges, and guiding junior staff.
- Experience building and shipping large-scale engineering products; cloud infrastructure experience such as GCP or AWS is preferred.
- Experience working with large, complex datasets from varied sources.
- Hands-on experience with Hadoop, Spark, or a similar stack.
- Experience with functional and object-oriented programming using Python or Scala.
- Technical knowledge of Spark, Hadoop, and the GCS stack.
- Preferred experience with big data development and support, database modeling and development, data mining and warehousing, and architecting, developing, implementing, and maintaining big data solutions.
- Preferred experience with the Hadoop ecosystem, including HDFS, MapReduce, Oozie, Hive, Impala, Spark, Kerberos, and Kafka.
- Strong written and verbal communication, collaboration skills, and comfort working in a fast-paced startup environment.
Benefits
- The role includes travel to client locations.
- Applicants may be contacted by the Talent Acquisition team via phone, email, SMS, WhatsApp, or other communication channels regarding the application and relevant opportunities.
Tech Stack
Categories
Data Engineering
About Sigmoid
Sigmoid provides data engineering and AI consulting for large enterprises, building cloud data platforms, BI modernization, and bespoke GenAI and agentic AI solutions. It operates a services model, delivering projects to Fortune 1000 clients across North America, Europe, and Asia. Founded in 2013 and headquartered in Jersey City, New Jersey, the privately held company maintains delivery centers in the USA, UK, Netherlands, Poland, Canada, Singapore, and India.