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Software Engineer, Chennai
As a Data Engineer, you will be responsible for building new data solutions for our rapidly expanding customer base and working with the top data ingestion technologies, working with a team of amazing, diverse-minded, and bright people who make an impact, generate creative & innovative ideas, and take on new perspectives.
Responsibilities
Own end-to-end data flows from requirements and architecture through implementation and production operations, including Data acquisition, Data set acceptance criteria, and Data Science integration.
Design and build scalable batch and real-time data pipelines and lakehouse solutions with a focus on large-scale data processing.
Take responsibility to explore technologies to scale up the Data ecosystem to handle rapid Big Data growth.
Partner with Data Science to productionize ML/AI workloads and ensure smooth integration into products.
Collaborate with cloud, DevOps, application, and client teams to deliver robust, secure, and scalable solutions that solve meaningful business problems.
Evaluate and adopt new technologies and patterns to evolve the data ecosystem as scale and complexity grow.
3+ years of backend engineering work experience in production environments (Data-Intensive Systems, Distributed Processing, Databases).
B.Sc. / M.Sc. in Computer Science, Computer Engineering, or equivalent.
Proficiency in Python; working proficiency in Scala.
Strong experience with Big Data processing (Spark, Databricks) and event streaming (Kafka).
Experience with orchestration and platform tooling such as Airflow; ability to build maintainable DAGs and operationalize workflows.
Strong expertise with at least one major cloud provider (Azure,).
Strong SQL skills and experience with data storage systems (such as PostgreSQL) plus at least one of: Data Lake/Lakehouse, columnar DB, or NoSQL systems.
Experience with Delta Lake and/or Apache Iceberg; ML lifecycle tools such as MLflow.
Experience with Pandas/Polars and building data services/APIs (e.g., FastAPI).
Proven experience designing, building, and owning production-grade data pipelines (batch and/or streaming), including reliability, backfills, and SLA-driven delivery.
Ability to learn new technologies and work in a dynamic fast-paced environment.
Result-driven, pragmatic, and innovative.
Strong English communication skills, both written and verbal.
Nice to have
Hands-on experience with containers and Kubernetes (Helm is a plus) and modern CI/CD practices.
Experience building LLM-powered agents / chat assistants (RAG, tool/function calling, workflow or multi-agent orchestration), using modern frameworks and platforms (LangChain/LangGraph).
Infrastructure as Code (Terraform/Pulumi/CloudFormation) and cloud security fundamentals (IAM, secrets, encryption).
Experience with observability tooling (metrics/logging/tracing) and cost/performance optimization for distributed workloads.
Experience building applications with React and Node.js.
Employment type
Full-time
Work arrangement
Hybrid
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