Key Responsibilities:

Design, develop and implement data pipelines to extract, transform and load data from various sources into our data warehouse
Collaborate with data analysts and data scientists to understand data requirements and design solutions to support their analytical needs
Develop and maintain data models for efficient storage and retrieval of data
Monitor and troubleshoot data pipelines to ensure data quality and accuracy
Optimize data pipelines for performance and scalability
Develop and maintain data governance policies and procedures to ensure data integrity and security
Continuously evaluate and recommend new technologies and tools to improve our data infrastructure
Collaborate with cross-functional teams to design and implement data-driven solutions
Provide technical guidance and mentorship to junior team members

Qualifications:

Bachelor's degree in Computer Science, Information Systems, or related field
Minimum of 3 years of experience in a data engineering role
Strong experience with SQL and relational databases
Proficiency in at least one programming language such as Python, Java, or Scala
Experience with ETL tools such as Informatica, Talend, or Pentaho
Hands-on experience with data warehousing concepts and data modeling
Knowledge of cloud-based data platforms such as AWS, Azure, or Google Cloud
Familiarity with data visualization tools such as Tableau, Power BI, or Qlik
Ability to work in a fast-paced, dynamic environment and manage multiple priorities
Strong problem-solving and analytical skills
Excellent communication and collaboration skills

You will have the opportunity to work with cutting-edge technologies and collaborate with a talented team to build and maintain a robust data infrastructure. If you are a self-motivated individual with a passion for data, we encourage you to apply for this exciting opportunity and join our team of dedicated professionals.

Location: New York, New York, United States

Orlando, Florida, United States

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