Big Data Systems Engineer

Join our dynamic and innovative team as a Big Data Systems Engineer and be a part of our exciting journey towards leveraging data to drive business growth and success

Job Title: Big Data Systems Engineer

Location: New York, New York, United States

Salary: $138 Per hour

Position Overview: We are seeking a highly motivated and experienced Big Data Systems Engineer to join our team. As a Big Data Systems Engineer, you will play a crucial role in designing, building, and maintaining our company's big data infrastructure. You will work closely with our data scientists, analysts, and software engineers to ensure the smooth and efficient operation of our data systems. The ideal candidate will have a strong background in big data technologies and a passion for solving complex problems.

Key Responsibilities:

• Design, build, and maintain our big data infrastructure, including data pipelines, storage systems, and analytics platforms
• Work closely with data scientists and analysts to understand their data needs and provide efficient solutions
• Develop and implement data quality and data governance processes to ensure data accuracy, consistency, and reliability
• Monitor and optimize the performance of our big data systems, identifying and resolving any issues that may arise
• Collaborate with software engineers to integrate data from various sources into our systems and applications
• Stay up-to-date with emerging big data technologies and make recommendations for their implementation to enhance our data infrastructure
• Communicate complex technical concepts to non-technical stakeholders and provide technical support as needed
• Participate in cross-functional teams to develop and implement new data-driven initiatives and projects
• Ensure compliance with data privacy and security regulations

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field
• Minimum of 3 years of experience working with big data technologies, such as Hadoop, Spark, Kafka, and NoSQL databases
• Strong understanding of data management principles and best practices
• Experience with cloud-based data platforms, such as AWS, Google Cloud, or Azure
• Proficiency in programming languages such as Python, Java, or Scala
• Familiarity with data warehousing concepts and tools, such as Snowflake or Redshift
• Excellent problem-solving and critical thinking skills
• Ability to work independently and in a team environment
• Strong communication and interpersonal skills
• Knowledge of data privacy and security regulations, such as GDPR and CCPA, is a plus

We offer a competitive salary, comprehensive benefits package, and opportunities for career advancement. Apply today and take the first step towards a rewarding and fulfilling career in the world of big data.