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Apple Software Engineering Manager India, Karnataka, Bengaluru 347681742
12.05.2025
As an Engineering Manager, you will lead a team of engineers responsible for the development andimplementation of our cloud-based data infrastructure. You will work closely with cross-functionalteams to understand data requirements, design scalable solutions, and ensure the integrity andavailability of our data. The ideal candidate will have a deep understanding of cloud technologies,data engineering best practices, and a proven track record of successfully delivering complex data projects. Key Responsibilities include: - Hire, develop, and retain top engineering talent- Provide mentorship and technical guidance to engineers, fostering continuous learning anddevelopment- Lead the design, development, and deployment of scalable cloud-based data infrastructure and applications- Drive end-to-end execution of complex data engineering projects- Optimize data storage, processing, and retrieval for improved performance and cost efficiency.- Continuously evaluate and improve the system architecture and workflows- Stay current with emerging trends and technologies in cloud data engineering- Recommend and adopt tools, frameworks, and platforms that enhance productivity and reliability
- Bachelor’s degree in Computer Science or a related field
- Minimum 8 years of experience in software development with at least 2 years in a technical leadership or management role.
- Proven experience as a Full stack developer, with a focus on cloud platforms.
- Proficient in programming languages such as Python.
- Strong hands-on expertise with Python frameworks (Django, Flask, or FastAPI, RESTful APIs), React.js and modern JavaScript
- Experience with authentication and authorization (OAuth, JWT)
- Strong understanding of cloud services, preferably AWS & Experience in building cloud native
- platforms using containerization technologies like Kubernetes, docker, helm
- Knowledge of data warehouse solutions (BigQuery, Snowflake, Druid) and Big Data technologies
- such as Spark, Kafka, Hive, Iceberg, Trino, Flink.
- Experience with big data technologies (Hadoop, Spark, etc.).
- Experience with streaming data technologies (Kafka, Kinesis).
- Experience building data streaming solutions using Apache Spark / Apache Storm / Flink / Flume.
- Familiarity with machine learning pipelines is an added advantage.
- Proven ability to deliver complex, high-scale systems in a production environment.
- Strong people management and cross-functional collaboration skills.
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