Senior Engineer, Data Engineering

4 days ago

Bangalore, India AppsForBharat Full time

Role Overview We are looking for a Senior Data Engineer to lead the design and development of a next-generation data platform that powers real-time and batch applications at scale. This platform supports business logic, personalisation, user cohorting, CRM, product analytics, and Generative AI workloads. You'll work cross-functionally with analysts, engineers, and product teams to build high-throughput data pipelines, ensure reliability and cost-efficiency, and empower data-driven decisions across all touchpoints — web, mobile (Android/iOS) and server. Data Platform & Pipeline Development Build and scale real-time and batch data pipelines capable of supporting high-volume data ingestion and processing. Power diverse applications across: business logic and personalization, user cohorting and CRM, product and business analytics, and Generative AI (data retrieval, prompt engineering, context feeding). Own the entire lifecycle of the data platform — from design and provisioning to resource decommissioning. Tiered data retention and archival Build proactive monitoring and alerting for data freshness, volume anomalies, and schema drift. Define and enforce role-based access control (RBAC) and audit policies for secure data operations. Maintain thorough documentation of data flows, architecture, and contracts. Experience building cloud-native data solutions on AWS (RDS, Redshift, Athena, Kinesis, Lambda, S3) and GCP (BigQuery, Dataflow, Datastream). Proficiency in SQL, NoSQL, and data modeling for both OLTP and OLAP systems. Strong backend engineering skills using Golang (preferred) or other typed languages. Hands-on experience with event streaming platforms like Kafka, Kinesis, or RabbitMQ. Deep understanding of data warehousing, pipeline orchestration, and cloud architecture. Demonstrated ability to implement secure, auditable, and scalable data governance frameworks. Scripting expertise in Bash or Python for automation. Familiarity with Apache Spark, Flink, or other big data processing engines. Experience with CI/CD, Infrastructure-as-Code (Terraform, CloudFormation), and deployment automation. Experience designing datasets and platforms that support both BI and machine learning workloads. Mental Health Support – Unlimited confidential therapy sessions, accessible from wherever you're comfortable. Wellness Perks – Exclusive medicine discounts plus complimentary eye and dental checkups. Life conscious policies such as Period Leave , generous maternity, paternity, and wedding leave because life happens. Why wait for month-end blues Your salary hits your

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