Big Data Cloud Engineer

Working at our company, you will have the opportunity to work with cutting-edge technologies and be a part of a collaborative and innovative team

Job Title: Big Data Cloud Engineer

Location: New York, New York, United States

Salary: $138 Per hour

Job Description: We are seeking a highly skilled and experienced Big Data Cloud Engineer to join our dynamic team. As a Big Data Cloud Engineer, you will play a crucial role in designing, building, and maintaining our company's data architecture and infrastructure. You will be responsible for implementing and managing large-scale data systems on cloud platforms, as well as optimizing and enhancing existing data processes.

Key Responsibilities:

• Design, build, and maintain our cloud-based Big Data infrastructure, ensuring its scalability, reliability, and performance
• Develop efficient and secure data pipelines to ingest, process, and store large volumes of data from various sources
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Identify and implement data quality and governance strategies to ensure data accuracy and integrity
• Monitor and troubleshoot data systems to identify and resolve any issues or bottlenecks
• Continuously evaluate and recommend new tools and technologies to improve data processing and analytics capabilities
• Develop and maintain documentation for data infrastructure, processes, and procedures
• Stay updated with industry trends and advancements in Big Data and Cloud technologies and proactively incorporate them into our systems

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
• Minimum of 5 years of experience in Big Data Engineering, preferably in a cloud environment
• Strong proficiency in programming languages such as Java, Python, or Scala
• Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud
• In-depth knowledge of Big Data tools and frameworks such as Hadoop, Spark, Kafka, and Hive
• Experience with data warehousing and ETL processes
• Solid understanding of database concepts and SQL
• Familiarity with DevOps practices and tools such as Docker, Kubernetes, and Git
• Ability to work independently and in a team environment, with excellent communication and collaboration skills
• Proven track record of delivering complex projects on time and within budget
• Strong problem-solving skills and the ability to think critically and analytically

You will have the chance to make a significant impact on our business and contribute to its growth and success. If you are passionate about Big Data and Cloud technologies and thrive in a fast-paced and dynamic environment, we would love to hear from you!