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Apple Senior Big Data Software Engineer - Manufacturing Systems & Infrastructure India, Karnataka, Bengaluru 749882289
Yesterday
As a BigData Engineer, you will lead the development and implementation of our cloud-based data infrastructure. You will work closely with cross-functional teams to understand data requirements, design scalable solutions, and ensure the integrity and availability 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.- Design and implement scalable cloud-based data architectures.- Build and maintain real-time data streaming solutions using Apache Spark, Storm, Flink, or similar technologies.- Ensure high data quality, consistency, and availability across platforms.- Optimize data pipelines for performance, scalability, and cost efficiency.- Mentor junior engineers and provide technical guidance across projects.- Stay updated with emerging trends in cloud computing and big data ecosystems.
- Bachelor’s degree in Computer Science or related field
- 7+ years of hands-on programming experience with Java, Scala, Python, or GoLang
- Proven experience as a Big Data engineer, with a focus on cloud platforms (AWS, Azure, or GCP)
- Strong proficiency with big data technologies like Hadoop and Spark
- Experience with streaming data technologies such as Kafka, Kinesis
- Demonstrated ability to build and scale data streaming solutions
- This role requires up to 25% domestic and international travel for project collaboration, stakeholder engagement, and deployment support
- Expertise in data modeling and integration
- Familiarity with modern data warehouse solutions like Redshift, BigQuery, Snowflake, or Druid
- Experience with ETL tools and metadata management platforms like Reltio, Stibo, Informatica, Apache Atlas
- Understanding of data governance, privacy, and compliance frameworks
- Cloud certifications (e.g., AWS Certified Big Data – Specialty, Azure Data Engineer)
- Knowledge of machine learning and data science workflows
- Strong analytical thinking, problem-solving, and communication skills
- Open-source contributions or community engagement in the data engineering space
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