Data Engineer

If you are a data enthusiast with a passion for building robust data infrastructures and leveraging data to drive business decisions, we encourage you to apply for the Data Engineer position

Job Title: Data Engineer

Location: New York, New York, United States

Salary: $100 Per hour

Position Overview: We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. As a Data Engineer, you will be responsible for designing, developing, and maintaining our data infrastructure. You will work closely with our data scientists and analysts to ensure that our data is accurate, accessible, and scalable. The ideal candidate will have a strong background in data engineering and a passion for leveraging data to drive business decisions.

Key Responsibilities:

• Design, develop, and maintain our data infrastructure, including databases, data pipelines, and ETL processes.
• Collaborate with data scientists and analysts to understand data requirements and ensure data quality and consistency.
• Optimize and tune data systems for maximum performance and scalability.
• Develop and implement data governance policies and procedures to ensure data integrity and privacy.
• Stay abreast of emerging technologies and tools in the data engineering space and recommend the adoption of new tools and techniques to improve data processes.
• Work closely with cross-functional teams to identify and address data-related issues and provide solutions.
• Develop and maintain documentation for data processes and systems.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• Minimum of 3 years of experience in data engineering or a related role.
• Strong knowledge of SQL and experience working with relational databases.
• Experience in building and maintaining data pipelines using tools such as Apache Spark, Hadoop, or Kafka.
• Proficiency in at least one programming language (e.g. Python, Java, Scala).
• Familiarity with cloud-based data platforms, such as AWS, Azure, or Google Cloud Platform.
• Understanding of data warehousing concepts and data modeling techniques.
• Experience with data visualization tools, such as Tableau or Power BI, is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Benefits:

• Family leave (Maternity, Paternity)
• Competitive salary and benefits package.
• Opportunity to work with cutting-edge data technologies.
• Collaborative and inclusive work environment.
• Professional development and growth opportunities.
• Flexible work hours and remote work options.

Join our team and be a part of our exciting journey to harness the power of data!