Data Engineer

Join our innovative team as a Data Engineer and become a vital driver of our data-driven initiatives! In this role, you will design, develop, and maintain robust data pipelines and architectures that empower business insights and decision-making. You’ll work with cutting-edge big data systems, cloud platforms, and business intelligence tools to create scalable solutions that support our organization’s growth. If you thrive in a fast-paced environment, love solving complex data challenges, and are passionate about leveraging technology to unlock data potential, this opportunity is perfect for you!, * Design, develop, and optimize ETL (Extract, Transform, Load) pipelines to facilitate seamless data flow across various systems using tools like Informatica, Talend, or custom scripting.

• Build and maintain scalable data architectures on cloud platforms such as AWS, Azure Data Lake, or other public cloud environments to support big data systems.
• Collaborate with cross-functional teams to understand data requirements and translate them into efficient data models utilizing dimensional modeling and data warehousing design principles.
• Manage and improve SQL databases including Microsoft SQL Server, Oracle, and cloud databases by writing complex queries, stored procedures, and optimizing query performance.
• Develop and implement data management strategies for linked data integration, Hadoop ecosystems (including Apache Hive and Spark), and other big data technologies like Hadoop clusters.
• Support business intelligence initiatives by creating dashboards and reports using tools like Looker or other BI tools to visualize insights effectively.
• Write scripts in Python, Bash (Unix shell), or Shell Scripting to automate workflows, manage databases, or perform analysis tasks efficiently.
• Participate in Agile development cycles to deliver high-quality solutions on time while continuously improving existing processes.

• Proven experience in software development with strong proficiency in SQL programming and database design principles.
• Hands-on experience working with big data systems such as Hadoop ecosystem (HDFS, Hive, Spark) and cloud-based storage solutions like Azure Data Lake or AWS services.
• Solid understanding of ETL pipeline development including tools like Informatica or Talend as well as custom scripting for automation.
• Familiarity with cloud databases (e.g., AWS RDS, Azure SQL Database), data warehousing concepts, dimensional modeling techniques, and query management strategies.
• Knowledge of programming languages such as Java and Python for building scalable data solutions.
• Experience with business intelligence tools such as Looker or similar platforms for creating insightful dashboards.
• Ability to design effective data models that support linked data integration and analytics initiatives.
• Strong analytical skills combined with excellent communication abilities to collaborate across teams effectively.
• Experience working within Agile environments to deliver iterative improvements rapidly.

$60,000 - $80,000 a year - Full-time, Contract