Data Engineer

*Job Summary* We are seeking a dynamic and innovative Data Engineer to join our forward-thinking data team. In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines and architectures that support our business intelligence and analytics initiatives. Your expertise will enable seamless data integration across diverse platforms, empowering stakeholders with reliable, timely insights. This position offers an exciting opportunity to work with cutting-edge big data systems and cloud technologies, driving data-driven decision-making at a global scale. *Duties* * Develop and optimize ETL (Extract, Transform, Load) pipelines using tools such as Informatica, Talend, or custom scripting in Python and Bash to ensure efficient data flow from source systems to data warehouses. * Design and implement robust data models and schemas utilizing dimensional modeling principles for data warehousing solutions. * Manage and maintain cloud-based big data systems on platforms like AWS, Azure Data Lake, or other public cloud environments to support scalable analytics solutions. * Collaborate with cross-functional teams to integrate linked data sources and develop comprehensive data management strategies that enhance data quality and accessibility. * Build and maintain SQL databases including Microsoft SQL Server, Oracle, and cloud databases; optimize query performance for business intelligence tools like Looker. * Contribute to the development of analytics models through model training techniques and support analysis efforts using SQL, Python, or other programming languages. * Support agile development processes by participating in sprint planning, code reviews, and continuous improvement initiatives for data engineering projects. *Qualifications* * Proven experience designing and implementing large-scale big data systems using Hadoop, Spark, Apache Hive, or similar frameworks. * Strong proficiency in SQL programming with extensive knowledge of SQL databases such as Microsoft SQL Server, Oracle, or cloud-based alternatives. * Hands-on experience with cloud platforms including AWS (Amazon Web Services), Azure Data Lake, or equivalent public cloud services. * Expertise in software development practices with languages such as Java, Python, VBA, Bash (Unix shell), or Shell Scripting for automation and pipeline development. * Familiarity with business intelligence tools like Looker or similar platforms for reporting and visualization purposes. * Solid understanding of data modeling concepts including dimensional modeling for data warehousing design and query management strategies. * Knowledge of ETL pipeline development using tools like Informatica or Talend; experience with RESTful APIs for integrating external data sources is a plus. * Strong analysis skills combined with a keen eye for detail to ensure high-quality data management and integration solutions. * Experience working within an Agile environment to deliver iterative improvements efficiently. Join us to be part of a passionate team dedicated to transforming raw data into actionable insights that propel our organization forward! Pay: $40.00 - $70.00 per hour Work Location: In person