Senior 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.

As part of our hiring process we expect all candidates to explore our Sri Mandir App, you can download the app here:

For Android: https://play.google.com/store/apps/details?id=com.mandir&hl=en_IN For IOS: https://apps.apple.com/in/app/sri-mandir-puja-chadhava/id1637621461

To know more about us, please visit our website here- https://www.appsforbharat.com/en

You can also see the impact Sri Mandir is creating in lives of millions of users here-

https://www.linkedin.com/posts/srimandir_sri-mandir-user-impact-stories-i-stood-activity-7347979685156306945-RjGM?utm_source=share&utm_medium=member_desktop&rcm=ACoAAC8243kBDFt7EBoQDcNjXmmTkN-AtH-jfkk

We are proud to be an equal opportunity employer and value diversity at our workplace. We do not discriminate on the basis of race, religion, colour, gender, sexual orientation, age, marital status, disability, or any other characteristic protected by applicable laws.

One Team. One Goal. Assisting millions on their digital devotional journeys. 🛕❤️