Data Engineer

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. Key Responsibilities 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). Analytics Enablement Across Platforms Partner with product analysts to co-design analytics schemas that align across all client platforms. Enable consistent event tracking and unified user behavior analysis. Ensure availability of enriched and aggregated datasets that can be plugged directly into product and business workflows. Lifecycle Management & Platform Efficiency Own the entire lifecycle of the data platform — from design and provisioning to resource decommissioning. Implement systems for: Dynamic resource allocation (compute, storage, streaming) Tiered data retention and archival Usage-based cost governance and alerting Develop tooling, playbooks, and dashboards for observability, efficiency, and compliance. Monitoring, Governance & Reliability Build proactive monitoring and alerting for data freshness, volume anomalies, and schema drift. Conduct root cause analyses (RCA) for failures or inconsistencies across systems. Define and enforce role-based access control (RBAC) and audit policies for secure data operations. Maintain thorough documentation of data flows, architecture, and contracts. Must-Have Qualifications 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. Good-to-Have Skills 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. Why Our Team Loves Working at AppsForBharat We don't just offer benefits ; we offer a life-first approach to work. Family-First Insurance – Coverage for you, your spouse, AND your parents/in-laws because your peace of mind includes theirs. 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 account by the 25th every month. We invest in your future self with dedicated professional development benefits to fuel your journey. Monthly activities and quarterly outings spanning sports, music, and diverse interests. Every personality type finds their groove. Located in the heart of HSR Layout – pet-friendly, plant-happy, and designed as your peaceful sanctuary in the bustling city. If you're interested, please fill out the job application form -