Data Engineer

If you are a self-motivated individual with a passion for data and a desire to continuously learn and improve, we would love to hear from you

Job Title: Data Engineer

Location: New York, New York, United States

Salary: $100 Per hour

Job Overview: We are seeking a highly skilled and experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining our company's data architecture. You will work closely with our Data Scientists, Analysts, and other cross-functional teams to ensure the availability, accuracy, and efficiency of our data pipelines and systems. The ideal candidate is a strong problem-solver, has a passion for data, and has a solid understanding of database design and data warehousing principles.

Key Responsibilities:

• Design, build and maintain efficient and reliable data pipelines and ETL processes to move and transform data from various sources into our data warehouse
• Collaborate with cross-functional teams to gather requirements, identify data sources, and understand data needs for various business use cases
• Optimize database performance and troubleshoot any issues that arise
• Ensure data quality and consistency by implementing data validation and monitoring processes
• Develop and maintain data models and schemas to support reporting and analytics needs
• Identify and implement ways to improve data reliability, efficiency, and quality
• Stay up-to-date with industry trends and best practices in data engineering and recommend new tools and technologies to enhance our data infrastructure

Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Management, or a related field
• Minimum of 3 years of experience as a Data Engineer or in a similar role
• Strong programming skills in SQL and experience with relational databases (e.g. MySQL, PostgreSQL)
• Experience with ETL tools (e.g. Informatica, Talend) and data pipeline frameworks (e.g. Apache Airflow)
• In-depth knowledge of data warehousing concepts and techniques (e.g. dimensional modeling, data normalization)
• Familiarity with cloud-based data technologies (e.g. AWS, Azure, Google Cloud)
• Proficiency in at least one scripting language (e.g. Python, Java)
• Excellent problem-solving and analytical skills
• Strong communication and collaboration skills to work effectively with cross-functional teams
• Ability to manage multiple tasks and prioritize work in a fast-paced environment

Join our dynamic team and play a critical role in shaping our data infrastructure to drive our business forward.