Staff Data Engineer

DescriptionAt Infoblox, every breakthrough begins with a bold "what if." What if your ideas could ignite global innovation? What if your curiosity could redefine the future? We invite you to step into the next exciting chapter of your career journey. Bring your creativity, drive, your daring spirit, and feel what it's like to thrive on a team big enough to make an impact, yet small enough to make a difference. Our cloud-first networking and security solutions already protect 70% of the Fortune 500, and we're looking for creative thinkers ready to push that influence even further. Join us and discover how far your bold "what if" can take the world, your community, and your career. Here, how we empower our people is extraordinary: Glassdoor Best Places to Work 2025, Great Place to Work-Certified in five countries, and Cigna Healthy Workforce honors three years running — and what we build is world-class: recognized as CybersecAsia's Best in Critical Infrastructure 2024 — evidence that when first-class technology meets empowered talent, remarkable careers take shape. So, what if the next big idea, and the next great career story, comes from you? Become the force that turns every "what if" into "what's next". In a world where you can be anything, Be Infoblox.  Staff Data Engineer We have an opportunity for a Staff Data Engineer to join our SaaS Ecosystem Engineering team in Bangalore, reporting to the manager of Software Engineering. In this role, you will be part of a team that is building SaaS-based applications and services, as well as other cloud components for our customers. You will use the latest technologies to create innovative and high-quality products that solve real-world problems. You will also collaborate with the best of the technical and thought leadership team at Infoblox.  Be a Contributor — What You'll Do Curate large-scale data from a multitude of sources into appropriate sets for research and development for the data scientists, threat analysts, and developers across the company Design, test, and implement storage solutions for various consumers of the data. Especially data warehouses like ClickHouse and OpenSearch.Design and implement mechanisms to monitor data sources over time for changes using summarization, monitoring, and statistical methods Design, develop, and maintain APIs that enable seamless data integration and retrieval processes for internal and external applications, and ensure these APIs are scalable, secure, and efficient to support high-volume data interactions Leverage computer science algorithms and constructs, including probabilistic data structures, to distill large data into sources of insight and enable future analytics Convert prototypes into production data engineering solutions through disciplined software engineering practices, Spark optimizations, and modern deployment pipelines Collaborate on design, implementation, and deployment of applications with the rest of software engineering Support data scientists and Product teams in building, debugging, and deploying Spark applications that best leverage data Build and maintain tools for automation, deployment, monitoring, and operations Create test plans, test cases, and run tests with automated tools Be Prepared — What You Bring10+ years of experience in software development with programming languages such as Golang,Python, C, C++, C#, or Java, Expertise in Big Data—MapReduce, Spark Streaming, Kafka, Pub-Sub, In-memory DatabaseExperience with technologies such as OpenSearch/ElasticSearchExperience in Data lake technologies like ClickhouseGood exposure in application performance tuning, memory management, scalabilityAbility to design highly scalable distributed systems using different open-source technologiesExperience in microservices development and container-based software using Docker/Kubernetes and other container technologies is a plusExperience with AWS, GCP or Azure is a plus.Experience building high-performance algorithmsBachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering is required, master's degree preferred Be Successful — Your Path First 90 Days: Immerse in our culture, connect with mentors, and map the systems and stakeholders that rely on your work. Six Months: Complete onboarding by demonstrating knowledge of the Data Lake and associated technologies and CI/CD processes by deploying ETL pipelines for curation and warehousing to productionComplete rotations on support/duty where you will gain experience with the different systems, tools, and processes in the Data Lake by resolving reported issuesContribute to the team's velocity by participating in Scrum and driving stories to completion One Year: Be an expert on the Data Lake target state architecture and drive engineering design and grooming sessions for new feature developmentApply coding best practices and provide in depth-reviews on the team's pull requestsBe a thought leader in one or more domains of the Data Lake, driving development and mentoring teammates in this domain Belong— Your Community Our culture thrives on inclusion, rewarding the bold ideas, curiosity, and creativity that move us forward. In a community where every voice counts, continuous learning is the norm. So, whether you code, create, sell, or care for customers, you'll grow and belong here.  Be Rewarded — Benefits That Help You Grow, Thrive, Belong Comprehensive health coverage, generous PTO, and flexible work options Learning opportunities, career-mobility programs, and leadership workshops Sixteen paid volunteer hours each year, global employee resource groups, and a "No Jerks" policy that keeps collaboration healthy Modern offices with EV charging, healthy snacks (and the occasional cupcake), plus hackathons, game nights, and culture celebrations Charitable Giving Program supported by Company Match We practice pay transparency and reward performance. Offers reflect role location, internal equity, experience, skills, education, and certifications. Ready to Be the Difference?  Infoblox is an Affirmative Action and Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis #LI-SK1#LI-Hybrid