Senior Data Engineer, India

Branch; Bengaluru; Híbrido; INR 1.500.000 - 2.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health and wellness programs

Paid time off

Retirement planning options

Descripción de la vacante

Branch is seeking a Senior Data Engineer in Bengaluru to design and manage data pipelines processing petabytes of data. You will work with technologies like Flink, Spark, and Kafka in a hybrid schedule environment.

The ideal candidate will have 6+ years in software or data engineering with strong Java, Scala, and Python skills. Branch is dedicated to employee well-being, offering comprehensive benefits and equity options.

Formación

• 6+ years of Software Engineering or Data Engineering experience with a recent focus on big data.
• Solid background in computer science fundamentals and distributed systems.
• Great communication skills and team player with proven relationship-building capabilities.

Responsabilidades

• Architect, build, and own real-time and batch data aggregation systems.
• Collaborate with cross-functional teams to deliver new features.
• Develop safe, testable, and cost-efficient solutions.

Conocimientos

Java

Scala

Python

AWS

Kubernetes

NoSQL

RDBMS

Data Warehousing

Educación

Bachelor’s in Computer Science or equivalent

Herramientas

Flink

Spark

Kafka

Iceberg

Druid

Descripción del empleo

Job Summary

As a Senior Data Engineer, you will design, build, and manage components of our highly available real‑time and batch data pipelines handling petabytes of data. Our pipeline platform is designed to ingest and process billions of events per day and make the resulting aggregations and insights available within minutes in our analytical data stores. Data Analytics is at the core of our business, and we’re constantly innovating to make our systems more performant, timely, cost‑effective, and capable while maintaining high reliability. You will build on top of our core data infrastructure and pipelines using technologies and tools tailored for massive data sets including Flink, Spark, Kafka, Iceberg, and Druid while working in the AWS cloud environment.

Responsibilities

As a Senior Data Engineer, you’ll get to:

• Architect, build, and own real‑time and batch data aggregation systems to deliver quality analytical reports for our internal and external customers.
• Collaborate with Data Scientists, Backend Engineers, Data & Infrastructure Operations, and Product Managers to deliver new features and capabilities for customers.
• Develop clean, safe, testable, and cost‑efficient solutions.
• Make well‑informed decisions with deep knowledge of both the internal and external impacts on teams and projects. Foresee shortcomings ahead of time and be able to drive to resolution.

Qualifications

You’ll be a good fit if you have:

• Bachelor’s in CS or equivalent.
• 6+ years of Software Engineering or Data Engineering experience with a recent focus on big data.
• Strong development skills in Java or Scala and Python.
• Solid background in the fundamentals of computer science, distributed systems, large‑scale data processing, and database schema design and data warehousing.
• Practical experience managing AWS or Google Cloud environments.
• Experience in containerized deployment or Kubernetes is a big plus.
• Good understanding of a broad spectrum of NoSQL, traditional RDBMS, and analytical/columnar data stores including Postgres, Druid, Vertica, Redshift, Hadoop, Hive, Cassandra, Aerospike, and Redis.
• Ability to build systems that balance scalability, availability, and latency.
• Strong ability to advocate for continual deployment and automation tools, monitoring, and self‑healing systems that can help improve the lives of our engineers.
• Great communication skills and you are a team player who has a proven track record of building strong relationships with management, co‑workers, and customers.
• A desire to learn and grow, push yourself and your team, share lessons with others and provide constructive and continuous feedback, and be receptive to feedback from others.

Location & Schedule

This role will be based at our Bengaluru, KA office and follows a hybrid schedule that will be aligned with our return to office guidelines.

Compensation & Benefits

The salary range provided represents base compensation and does not include potential equity, which is available for qualifying positions. At Branch, we are committed to the well‑being of our team by offering a comprehensive benefits package. From health and wellness programs to paid time off and retirement planning options, we provide a range of benefits for qualified employees.

Equal Opportunity

Branch is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.