Senior Data Engineer in Strategic Systems International

Strategic Systems International is a forward-thinking company that has built an exceptional team of engineering and data science experts. Our focus is on enabling clients worldwide to innovate through cutting-edge technology solutions. In the Software Development department, the Data Engineer will be instrumental in designing and implementing data-driven strategies that enhance our clients' capabilities, especially in the financial services sector.

• Design, develop, and maintain high-performance data pipelines (ETL/ELT) to effectively integrate data from diverse sources into cloud data warehouses like Wasabi and Snowflake.
• Collaborate with cross-functional teams to thoroughly analyze requirements and implement data solutions tailored to meet specific business needs.
• Write clean, efficient, and maintainable code in Python, adhering to established industry best practices and coding standards.
• Perform debugging and troubleshooting to ensure the quality, performance, and reliability of data pipelines.
• Implement data validation, cleansing, and standardization processes to maintain data integrity.
• Design and implement data models that align with business requirements, aiding efficient data analysis and reporting.
• Utilize scheduling technologies such as Airflow or Prefect for automating data workflows.
• Participate in code reviews, fostering a culture of continuous improvement and collaboration.
• Stay updated on industry trends and advancements in data engineering to introduce innovative solutions within the team.

• Bachelor’s Degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 5+ years of experience as a Data Engineer, with a strong background in complex data processing and analytics.
• Proficiency in Python and Bash scripting languages.
• Solid understanding of Linux-based systems and containerization technologies (e.g., Docker).
• Extensive experience in database design, development, and SQL; knowledge of PostgreSQL Timeseries is a plus.
• Skilled in building and managing ETL/ELT pipelines from various data sources.
• Experience with cloud data warehouse/storage solutions, particularly Wasabi and Snowflake.
• Familiarity with data modeling and quality processes.
• Knowledge of scheduling tools like Airflow or Prefect, along with container orchestration (Kubernetes experience is a plus).
• Experience with Machine Learning and Artificial Intelligence is advantageous.
• Strong problem-solving and analytical skills.
• Excellent interpersonal and communication abilities for effective collaboration.
• Ability to work independently, prioritize tasks, and manage time effectively.

While not mandatory, candidates with experience in Machine Learning and Artificial Intelligence or a strong understanding of container orchestration tools like Kubernetes will stand out. Familiarity with modern data integration techniques and tools will be seen as a distinct advantage, enriching the team's skill set.

We value our employees and offer a competitive benefits package, including healthcare, flexible working hours, and professional development opportunities. Our work environment fosters innovation and collaboration, making Strategic Systems International a great place to grow your career. Join us and become part of a vibrant team eager to make a significant impact on the technology landscape!