At EXO Edge, we hire individuals who are fun loving, embrace life, and are ambitious. We are defined by our core Team Results Accountability and Quality (TRAQ). If these values resonate with you and you're excited to join our journey, please review the job description below:

We are seeking a detail-oriented and experienced Senior Data Engineer to join our Data Engineering team.

As a Senior Data Engineer, you will be responsible for managing the design, development, and optimization of scalable data pipelines, building cloud-based data platforms, and ensuring data quality across various business units, while leveraging distributed systems and real-time applications to drive data insights and analytics.

What to expect in your journey :

- Lead the scaling and optimization of data environments, including distributed and real-time systems, and enable self-service data visualization capabilities for users.

- Demonstrate advanced expertise in SQL, Python, and quality assurance (QA) processes to maintain data integrity and performance.

- Leverage machine learning techniques (preferred but not required) to enhance data-driven insights and solutions.

- Design and implement cloud-based and SaaS data warehouses, such as Snowflake or Databricks, and develop efficient ETL/ELT pipelines for seamless data processing.

- Build and integrate data platforms that support business intelligence (BI), analytics, data science initiatives, and real-time applications across the organization.

- Utilize data cataloging tools like Alation, and apply API scripting to automate data discovery and metadata management processes.

- Adhere to Software Development Lifecycle (SDLC) best practices, including source code management with Git, implementing continuous integration and deployment (CI/CD), and following test-driven development methodologies.

- Exhibit strong communication skills and take initiative in leading and driving projects with precision, ensuring timely and accurate delivery.

What you bring to the table:

- Minimum 7 years of experience as a Data Engineer in a global organization.

- Bachelors Degree in IT.

Technical Skills:

- Advanced proficiency in SQL and Python.

- Strong experience with QA processes, data validation, and troubleshooting.

- Solid understanding of ETL/ELT processes and building scalable data pipelines.

- Expertise in cloud-based data warehousing platforms, particularly Snowflake, and SaaS platforms.

- Familiarity with data catalog tools like Alation, and proficiency in API scripting for automation and metadata management.

- Strong experience in designing and implementing data warehouse architectures and ensuring seamless data integration.

- Knowledge of machine learning concepts is a plus.