Job Description

Locations

• Bengaluru, Karnataka, India 560001

Salary

Skills Required

• architecting large-scale Analytics systemsintermediate
• deploying large-scale Analytics systemsintermediate
• building highly scalable distributed applicationsintermediate
• handling large volumes of dataintermediate
• mastering Big Data technologiesintermediate
• mastering MPP technologiesintermediate
• selecting technologies for applicationsintermediate
• designing Big Data technologiesintermediate
• architecting Big Data technologiesintermediate
• engineering Big Data technologiesintermediate
• mentoring in Big Data technologiesintermediate
• designing MPP technologiesintermediate
• architecting MPP technologiesintermediate
• engineering MPP technologiesintermediate
• mentoring in MPP technologiesintermediate
• leading design of new solutionsintermediate
• leading development of new solutionsintermediate
• leading management of new solutionsintermediate
• using SingleStoreintermediate
• using Verticaintermediate
• using Clickhouseintermediate
• using Dorisintermediate
• working with physical machinesintermediate
• working with virtual machinesintermediate
• working with containersintermediate
• working with cloud platformsintermediate
• developing scalable systemsintermediate
• developing robust systemsintermediate
• adapting systems to business requirementsintermediate
• measuring system performanceintermediate
• comparing datastore performanceintermediate
• optimising system performanceintermediate
• tuning datastore performanceintermediate
• creating proofs of conceptintermediate
• performance benchmarkingintermediate
• architecting scalable applicationsintermediate
• recommending toolsintermediate
• implementing toolsintermediate
• recommending processesintermediate
• implementing processesintermediate
• accelerating development of Analytics workloadsintermediate
• accelerating deployment of Analytics workloadsintermediate
• accelerating maintenance of Analytics workloadsintermediate
• collaborating with application ownersintermediate
• collaborating with developersintermediate
• collaborating with project managersintermediate
• providing guidance on architectural decisionsintermediate
• addressing technical challengesintermediate
• scaling systemsintermediate
• performance tuningintermediate
• experience in Hadoop ecosystemintermediate
• experience in AI/MLintermediate
• experience in Vector Databasesintermediate
• experience in Enterprise MPP systemsintermediate
• excellent communication skillsintermediate
• detail-orientedintermediate
• energeticintermediate

Required Qualifications

• Strong educational background in Computer Science or Software Engineering. (experience)
• 8 to 12 years of professional experience managing complex, distributed and multi-tier Big Data / Analytics environments. (experience, 12 years)
• Proven experience as a database SRE, specifically with MPP technologies such as SingleStore, ClickHouse, Vertica, Doris, etc (experience)
• In-depth knowledge of datastore performance tuning, query optimisation and troubleshooting along with DR setup / Backup and recovery procedures. (experience)
• Extensive experience working with public cloud platforms (AWS & GCP) and Kubernetes container deployments. (experience)
• Expertise in automation, including the development of tools and scripts to monitor server-side components and improve operational efficiency. (experience)
• Familiarity with architectural and design considerations related to scalability, reusability, and flexibility. (experience)
• Demonstrate strong problem-solving and critical thinking skills, along with a solid ability to quickly evaluate and apply new technologies. (experience)
• A passion for solving challenging engineering problems and triaging complex operational issues in collaboration with various engineering and customer teams. (experience)

Preferred Qualifications

• Experience with data visualisation tools such as Tableau, Looker and Apache Superset. (experience)
• Knowledge of open-source Vector databases such as Milvus, Weaviate, etc. is a plus. (experience)
• Proficient in Application development using any programming language, with a focus on designing and building tools and frameworks for managing and scaling Big Data technologies. (experience)

Responsibilities

• Are you passionate about building highly scalable, distributed applications that efficiently handle large volumes of data? Do you thrive on mastering various Big Data and MPP technologies and selecting the best ones for each application? If you are excited by the challenge of working in a fast-paced environment where your technical skills are tested daily and you want your work to impact millions of Apple users, we want to hear from you.
• In this role, you will join Apple's Data Services Data Analytics and Engineering team as a highly motivated, detail-oriented, and energetic individual with excellent communication skills.
• Your responsibilities will include:
• Design, architect, engineer and mentor in Big Data and MPP technologies, platforms and applications.
• Lead the design, development and management of new solutions using the latest technologies and data platforms such as SingleStore, Vertica, Clickhouse, Doris across various environments, including physical & virtual machines, containers, and cloud platforms.
• Develop scalable, robust systems that adapt to evolving business requirements.
• Measure, Compare, Optimise and Tune the System / Datastore performance
• Create proofs of concept for emerging technologies, performance benchmarking and architect scalable applications.
• Recommend and implement tools and processes to accelerate the development, deployment and maintenance of Analytics workloads.
• Collaborate with application owners, developers, and project managers, leveraging your expertise to provide guidance on architectural decisions and address complex technical challenges related to scaling and performance tuning.

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