Senior Data Engineer, India

At Branch, we power every touchpoint with links that work and insights that prove it. From click to conversion, we make growth measurable. Our unparalleled attribution, backed by AI-enhanced linking, is trusted to deliver seamless experiences that increase ROI, decrease wasted spend, and eliminate siloed attribution. We bring the same rigor to how we build our team, by empowering our people to move fast, own outcomes, and build something that matters. We take pride in making meaningful investments in our team’s health, wealth, and growth so individuals can thrive as we scale. Our culture values smart, humble, and collaborative teammates who take accountability and drive results in an environment where their work truly moves the business forward. We are innovative, scaling with purpose, and led by seasoned leaders who know how to build enduring companies. Trusted by brands like Instacart, Western Union, NBCUniversal, ZocDoc, and Sephora, we’re big enough to matter, small enough for you to make a real impact. If you’re excited by the grit of building, rapid learning, and shaping the future of customer growth, you’ll find your place here. 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. If you are interested in building systems that can consume and explore billions of data points a day, work with petabytes of data, and want to push what is possible with data, this is the place for you! 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 Products 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. You’ll be a good fit if you have: • Bachelors 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 as well as 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 the 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