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Apple Big Data Software Engineer - Manufacturing Systems & Infrastructure 
India, Karnataka, Bengaluru 
551421803

26.09.2024
Description
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.- Lead the design and implementation of cloud-based data architectures.- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.- Optimize data storage, retrieval, and processing for performance and cost efficiency.- Lead efforts to ensure data quality, consistency, and accuracy.- Mentor and provide technical guidance to junior data engineers.- Stay current with industry trends and emerging technologies in cloud data engineering.
Minimum Qualifications
  • Bachelor’s or Master's degree in Computer Science or a related field
  • Proven experience as a Big Data developer, with a focus on cloud platforms
  • Strong proficiency in cloud services such as AWS, Azure, or Google Cloud
  • Expertise in data modelling and data integration
  • Experience with big data technologies (Hadoop, Spark, etc.)
  • Proficient in programming languages such as Python, Java, Scala, GoLang
  • Knowledge of data warehouse solutions (Redshift, BigQuery, Snowflake, Druid)
  • Experience with streaming data technologies (Kafka, Kinesis)
Preferred Qualifications
  • Certification in cloud platforms (AWS Certified Big Data - Specialty, Microsoft Certified: Azure Data Engineer, etc.)
  • Experience building data streaming solutions using Apache Spark, Storm, Link, Flume
  • Experience using ETL tools and technologies like Reltio, Stibo, Informatics, Apache Atlas
  • Knowledge of machine learning and data science concepts
  • Contributions to the open source community
  • Familiarity with data governance and compliance
  • Strong problem-solving and analytical skills
  • Excellent communication and leadership skills