C2C Hiring Big Data Engineer contract jobs in Location: San Francisco, CA

Job Title: Big Data Engineer
Location: San Francisco, CA
Client: Apple

Job Description:

Apple is seeking a talented and driven Big Data Engineer to join our dynamic team in San Francisco, CA. As a Big Data Engineer at Apple, you will be responsible for designing, implementing, and optimizing data systems to manage, process, and analyze large-scale datasets that are critical to Apple’s innovative products and services.

Key Responsibilities:

• Design, develop, and maintain large-scale data systems and pipelines to process and analyze massive amounts of structured and unstructured data.
• Implement efficient, fault-tolerant, and scalable data architectures using big data technologies such as Hadoop, Spark, Kafka, and others.
• Work closely with data scientists, analysts, and software engineers to understand data requirements and deliver solutions that support data-driven decision-making.
• Build and maintain data integrations and ETL pipelines to collect, clean, and transform data from various sources.
• Optimize data processing workflows to ensure high performance and low-latency data pipelines.
• Collaborate with cross-functional teams to define data strategies, architecture, and frameworks that support the company’s data-driven vision.
• Troubleshoot, debug, and resolve technical issues related to data workflows and infrastructure.
• Stay up-to-date with emerging trends and technologies in big data and cloud computing to enhance system capabilities.

Required Skills and Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master's preferred).
• 5+ years of experience in big data engineering, data architecture, or related fields.
• Proficiency in big data technologies (Hadoop, Spark, Kafka, etc.).
• Experience with programming languages such as Java, Python, or Scala.
• Strong experience with SQL and NoSQL databases (e.g., MySQL, MongoDB, Cassandra).
• Familiarity with cloud platforms (AWS, Google Cloud, Azure) and tools for data processing and storage (e.g., S3, Redshift, BigQuery).
• Proven experience in designing and maintaining scalable and high-performance data pipelines.
• Knowledge of data warehousing concepts and data modeling.
• Strong problem-solving and debugging skills, with the ability to work under pressure to deliver results.
• Excellent communication skills and the ability to work collaboratively in a team-oriented environment.

Preferred Qualifications:

• Experience with data streaming technologies (e.g., Apache Flink, Apache Beam).
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with machine learning and AI frameworks.
• Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD).