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Apple Cloud Data Engineer 
India, Karnataka, Bengaluru 
279004214

Yesterday
We are seeking experienced Senior Data Engineer with a strong background in designing and building scalable data architectures. You will play a key role in creating and optimising our data pipelines, improving data flow across our organisation, and working closely with cross-functional teams to ensure data accessibility and quality. This role requires deep knowledge of BigData ecosystem and Datalake concepts, as well as hands-on expertise in modern big data technologies like Advanced SQL, Spark, Flink, Trino, Iceberg and SnowflakeData Pipeline Development: * Design, build, and maintain scalable ELT processes using Spark, Flink, Snowflake and other big data frameworks. * Implement robust, high-performance data pipelines in cloud environments. * Deep and hand-on knowledge of at-least one programming language like Python, Java or, Scala * Expertise with advanced SQL skills and knowledge of BI/Analytics platforms.Datalake & Datawarehouse Architecture: * Develop and maintain efficient Datalake solutions * Ensure Datalake reliability, consistency, and cost-effectiveness. * Develop data models and schemas optimised for performance and scalability. * Experience with modern data warehouses like Iceberg, Snowflake, etc.Orchestration & CI/CD: * Comfortable with basic DevOps principles and tools for CI/CD (Jenkins, GitLab CI, or GitHub Actions). * Familiar with containerisation and orchestration tools (Docker, Kubernetes). * Familiarity with Infrastructure as Code (Terraform, CloudFormation) is a plus.Performance Tuning & Optimisation: * Identify bottlenecks, optimise processes, and improve overall system performance. * Monitor job performance, troubleshoot issues, and refine long-term solutions for system efficiency. * Work closely with data scientists, analysts, and stakeholders to understand data needs and deliver solutions. * Mentor and guide junior data engineers on best practices and cutting-edge technologies.
  • At-least 5+ years of hands on experience in developing and building data pipelines on Cloud & Hybrid infrastructure for analytical needs
  • Experience working with any cloud based data warehouse solutions - Snowflake, SingleStore etc. along with expertise in SQL and Advance SQL.
  • Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data
  • Bachelor’s Degree or equivalent in data engineering, computer science or similar field.
  • High expertise in modern cloud warehouse, data lakes and implementation experience on any of the cloud platforms (preferably AWS)
  • Expertise working with data at scale (peta bytes) with big data tech stack and advanced programming languages e:g Python, Java or, Scala.
  • Database development experience with Relational or MPP/distributed systems such as Snowflake, SingleStore
  • Hands-on experience with distributed computing in large-scale data environments.
  • Excellent problem solving, critical thinking with ability to evaluate and apply new technologies in a short time
  • Experience in working with global collaborators with ability to influence decision making.