Big Data Engineer

If you are a Big Data enthusiast with a passion for solving complex problems and driving business insights, we want to hear from you! Join our team and be a part of our innovative and collaborative culture

Position: Big Data Engineer

Location: San Francisco, California, United States

Job Type: Full-time

Salary: $190000 - $224000

Lobox is seeking a highly skilled and motivated Big Data Engineer to join our dynamic team. As a Big Data Engineer, you will be responsible for designing, developing and maintaining our Big Data infrastructure. You will work closely with cross-functional teams to ensure the efficient collection, storage, and analysis of large sets of data. This is an excellent opportunity for an experienced Big Data professional who is passionate about working with cutting-edge technologies and driving business insights.

Key Responsibilities:

• Design and develop scalable and efficient Big Data solutions using the latest technologies such as Hadoop, Spark, Kafka, and NoSQL databases.
• Collaborate with Data Scientists and Analysts to understand their data requirements and implement data pipelines to support their analytical needs.
• Develop and maintain data architecture and data models to support the ingestion, processing, and storage of large volumes of data.
• Implement and maintain data governance policies and procedures to ensure data quality and consistency.
• Troubleshoot and optimize performance of Big Data systems, including tuning queries and monitoring system resources.
• Work closely with the DevOps team to deploy and maintain Big Data applications in a cloud environment.
• Stay current with emerging technologies and make recommendations for their integration into our Big Data infrastructure.
• Mentor and provide technical guidance to junior team members.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 3 years of hands-on experience in designing and developing Big Data solutions.
• Proficient in programming languages such as Java, Python, and SQL.
• Experience with Big Data technologies such as Hadoop, Spark, Kafka, and NoSQL databases.
• Strong understanding of data modeling, data warehousing, and ETL processes.
• Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud.
• Excellent problem-solving and analytical skills.
• Ability to work independently and in a team environment.
• Strong communication and interpersonal skills.

Apply now and take the next step in your career as a Big Data Engineer at Lobox.