2 days ago
Remote, IndiaMid Level
Responsibilities
- Develop, optimize, and maintain scalable pipelines for structured and unstructured data.
- Maintain and enhance the stability, reliability, and availability of data systems and services.
- Build and refine expandable, high-performance data architecture and internal data services.
- Design and implement data functionality and intuitive data visualizations based on product and business requirements.
- Integrate and maintain collaborative data with third-party clients and address data mining and analytical needs.
- Collaborate with teams in the US, Singapore, and China, including flexibility around work hours.
- Enforce data governance, security, and compliance best practices.
Requirements
- Bachelor’s degree in Computer Science or a related technical discipline from a Tier 1 or Tier 2 institution.
- At least 4 years of hands-on software development experience.
- Strong computer science fundamentals, including data structures and advanced algorithms.
- Excellent proficiency in Python, Golang, or Java, with Python preferred.
- Proficiency with Kafka, RMQ, SQS, relational and NoSQL databases, including MySQL, Postgres, MongoDB, Cassandra, ScyllaDB, HBase, Redis, and Aerospike.
- Experience architecting and developing large-scale distributed systems.
- Familiarity with microservice architecture, API gateway patterns, and observability through logging, tracing, and metrics.
- Experience operating systems with strict latency and reliability requirements in 24/7 environments, including high-uptime systems, self-recoverable architectures, and container or VM orchestration platforms.
- Experience with Go, Python, Java, Node.js, AWS, GCP, Azure, Kubernetes, or Docker.
- Strong logic, ownership, self-motivation, independent delivery, collaboration, and communication skills.
- Ability to explain complex technical concepts and organization-wide strategies to engineers, cross-functional partners, and executives.
- Preferred qualifications include knowledge of security, authentication and authorization, performance tuning, AI agent or harness concepts, and DevOps practices.
- Bonus experience with gRPC, Protobuf, or Thrift.
Benefits
- Fully remote opportunity based in India with standard work hours of 8 a.m. to 5 p.m. IST.
- Vacation time, parental leave, team events, learning reimbursement, and additional benefits and perks.
- A growth-focused culture emphasizing ownership, learning, self-improvement, respect, and trust.
Tech Stack
Apache CassandraApache HBaseApache KafkaAWSAzureDockerGoGoogle Cloud PlatformgRPCJavaKubernetesMongoDBMySQLNode.jsPostgreSQLPythonRedis
Categories
BackendData Engineering
About YipitData
YipitData provides alternative data, analytics, and sector research to institutional investors and enterprises, delivered via subscription data products and reports. Its proprietary technology aggregates and analyzes consumer and transactional signals across sectors such as e-commerce, payments, and software to produce timely insights. Founded in 2013 and headquartered in New York, it is privately held and backed by The Carlyle Group, with global offices in the US, APAC, and India.