Senior Data Engineer

Title: Senior Data Platform Engineer [SDE 2]

Location: Bangalore

The Role:

We are seeking a Senior Data Platform Engineer to join our dynamic and growing team,

responsible for building, scaling, and optimising our cloud-native data platform. You will design

and implement scalable data pipelines that power business-critical analytics, real-time insights,

and AI/ML solutions. As an experienced data architect and builder, you will have the opportunity

to redefine our data infrastructure, enabling the next generation of products and driving

innovative data initiatives.

Roles and Responsibilities:

• Design, Develop \& Deploy scalable Data Platform with real-time and batch processing solutions
• Write highly scalable code by following best practices in concurrency, resource optimisation, and fault tolerance.
• Build and maintain the Infra with the best IoC practices
• Identify and implement internal process improvements, including automating manual tasks, optimising data flows, and redesigning infrastructure for greater scalability and resilience.
• Develop automated monitoring, alerting, and logging systems for pipelines to ensure reliability, uptime, and data quality.
• Build and maintain data tools that enable analytics, BI, and data science teams to

experiment and optimise their workflows.

• Ensure end-to-end data governance by implementing policies for data quality, security, and compliance.
• Optimise data models and architectures to power machine learning, reporting, and real-time analytics.
• Collaborate closely with data scientists and product engineers to integrate ML models into production systems and improve system functionality.
• Work with stakeholders across the organisation to ensure alignment between data infrastructure and business needs.

Mandatory Qualifications:

• 4\+ years of hands-on experience in Building and managing large-scale data platforms.
• Experience with Version control, CI/CD pipelines, Kubernetes, Docker, and IaC tools.
• Strong Experience in Building and Maintaining Data-Intensive APIs and Distributed Data Processing Systems
• Strong programming skills in Scala, Java, and optimising SQL queries.
• Strong expertise in Spark, Flink, Iceberg, Delta Trino, Kafka
• Experience with both relational SQL and NoSQL databases
• Strong understanding of REST APIs, Microservices, event-driven architectures, and Stream processing frameworks.
• Experience working in cross-functional, agile environments.
• Open-source contributions or active participation in developer communities.
• Prior experience in a product-based company is highly preferred.