It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Job Description:

We are seeking talented and motivated Data Engineers to join our dynamic team and contribute to our mission of harnessing the power of data to drive growth and success.

As a Data Engineer at VXI Global Solutions, you will play a critical role in designing, implementing, and maintaining our data infrastructure to support our customer experience and management initiatives. You will collaborate with cross-functional teams to understand business requirements, architect scalable data solutions, and ensure data quality and integrity. This is an exciting opportunity to work with cutting-edge technologies and shape the future of data-driven decision-making at VXI Global Solutions.

Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes to ingest, transform, and store data from various sources.
• Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
• Implement data models and schemas to support analytics, reporting, and machine learning initiatives.
• Optimize data processing and storage solutions for performance, scalability, and cost-effectiveness.
• Ensure data quality and integrity by implementing data validation, monitoring, and error handling mechanisms.
• Collaborate with data analysts and data scientists to provide them with clean, reliable, and accessible data for analysis and modeling.
• Stay current with emerging technologies and best practices in data engineering and recommend innovative solutions to enhance our data capabilities.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven 2+ years' experience as a data engineer or similar role
• Proficiency in SQL, Python, and/or other programming languages for data processing and manipulation.
• Experience with relational and NoSQL databases (e.g., SQL Server, MySQL, Postgres, Cassandra, DynamoDB, MongoDB, Oracle), data warehousing (e.g., Vertica, Teradata, Oracle Exadata, SAP Hana), and data modeling concepts.
• Strong understanding of distributed computing frameworks (e.g., Apache Spark, Apache Flink, Apache Storm) and cloud-based data platforms (e.g., AWS Redshift, Azure, Google BigQuery, Snowflake)
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker, Apache Superset) and data pipeline tools (e.g. Airflow, Kafka, Data Flow, Cloud Data Fusion, Airbyte, Informatica, Talend) is a plus.
• Understanding of data and query optimization, query profiling, and query performance monitoring tools and techniques.
• Solid understanding of ETL/ELT processes, data validation, and data security best practices
• Experience in version control systems (Git) and CI/CD pipelines.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills to work effectively with cross-functional teams.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!