Role : Senior Data Platform Engineer R&D.About; Us : Netcore.ai is a leading AI-powered B2B SaaS Customer Experience and Marketing Technology platform, helping 6,500+ brands across 20+ countries deliver personalized customer experiences at scale. Our engineering teams build highly scalable, cloud-native products that process billions of customer interactions every day.Role Summary : You will evaluate, benchmark and prototype next-generation data platform technologies (open table formats, streaming systems, NoSQL and OLAP databases) for Netcore's high-scale omnichannel marketing platform. This is a hands-on engineering role where you will write code every week to shape our platform direction.What You'll Do : - Design and run rigorous benchmarks and scalability studies across databases, storage engines, messaging and streaming systems.- Prototype and stress-test current architectures for high-throughput data ingestion, real-time analytics and large-scale personalization workloads.- Evaluate open table formats and lakehouse stacks (Iceberg, Hudi, Delta) and their catalogs, query engines and storage layers.- Compare technology options and give build-versus-buy recommendations backed by experimental data.- Write design documents, RFCs,



benchmark reports and engineering articles that inform technology decisions.- Move successful prototypes into production-ready solutions together with platform and product engineering teams.- Track emerging data infrastructure technologies and share actionable insights with engineering leadership.Must-Have Skills : - Strong programming in Java and Python (Go or Rust is a plus) for rapid prototyping.- Hands-on experience building data pipelines and data platforms at scale, using Kafka and Spark (or Flink).- Working knowledge of at least one open table format (Iceberg, Hudi or Delta Lake) and how it differs from plain files on object storage.- Experience with two or more NoSQL or analytical databases (e.g., Cassandra, MongoDB, ClickHouse, Druid, Aerospike, BigQuery, Snowflake).- Strong data modeling skills : normalized vs. denormalized design, dimensional modeling, query-driven NoSQL design, partitioning and key design, and schema evolution.- Strong SQL and query optimization : reading and tuning execution plans, indexing and partitioning strategies, join and aggregation optimization.- Solid understanding of columnar and row file formats (Parquet, Avro, ORC), including compression, predicate pushdown and schema evolution.- Strong data structures, algorithms and distributed systems fundamentals.- Experience benchmarking and profiling workloads to classify them as CPU-bound, memory-bound or I/O-bound.- Experience on AWS or GCP.Qualifications : - Bachelor's or Master's degree in Computer Science, Engineering or a related field.- 4 - 10 years of experience in backend, data platform with demonstrated experience developing, evaluating or benchmarking large-scale systems. (ref:hirist.tech)

📌 Netcore Cloud - Senior Data Platform Engineer (Bengaluru)
🏢 NETCORE CLOUD
📍 Bengaluru