Key Responsibilities:

Design, build, and maintain our data infrastructure to support the needs of our organization
Collaborate with various teams, including data analysts and business stakeholders, to understand data requirements and develop solutions
Develop and implement data pipelines to efficiently process and transform large volumes of data
Monitor and troubleshoot data pipelines to ensure data accuracy and integrity
Optimize data warehouse and database performance to ensure efficient data retrieval and storage
Design and implement data models to support reporting and analytics needs
Work with data scientists to deploy machine learning models into production
Keep up-to-date with industry trends and advancements in data engineering and make recommendations for improvement

Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field
Minimum of 3 years of experience in data engineering or a related role
Strong understanding of data architecture and data modeling principles
Proficient in SQL and experience working with relational databases
Experience with ETL tools, such as Informatica, Talend, or Airflow
Familiarity with cloud data platforms, such as AWS, Azure, or GCP
Experience with programming languages such as Python, Java, or Scala
Knowledge of data warehousing and data lake concepts
Excellent problem-solving skills and ability to troubleshoot and resolve complex data issues
Ability to work independently and in a team environment
Strong communication and collaboration skills

Join our team and help us drive innovation and make a meaningful impact with data.

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