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The Data Foundation Team is highly critical for the organization to provide timely, accurate and most up to date data so that the business can take decisions accordingly. The team works with several application teams, data analytics, data science team etc. We are looking for a highly skilled and experienced Senior Data Engineer to design, implement, and maintain robust and scalable data pipelines.
About Company
Vista Tech plays a vital role in the Vista group operations by delivering and accelerating comprehensive technology solutions across all brands. Vista's end-to-end and click-to-flight solutions offer the industry's only comprehensive flight booking platform, seamlessly integrating global operations, and leveraging AI and machine learning to optimize pricing and fleet movement. Comprised of the Product Management, Engineering, and IT teams, Vista Tech's mission is to enhance transparency and accessibility in private aviation through the development of the world's largest digital private aviation marketplace. In achieving this, Vista Tech always ensures the utmost safety and efficiency for FLIGHT CREW, EMPLOYEES and Members, while fostering a culture of innovation and excellence.
You will report to Engineering Manager and play a crucial role in driving the technical direction of our projects and guiding the team in adopting best practices and cutting-edge technologies. This position is a 100% remote role with regular shif timings (9 AM to 6 PM EST). You will collaborate with cross-functional teams, provide technical leadership, and contribute to the entire software development lifecycle.
Your Responsibilities- Scalable Data Infrastructure: Lead the development and maintenance of highly scalable data pipelines, playing a crucial role in fortifying our data foundation.
- Technical Excellence: Demonstrate hands-on technical expertise in designing, building, and documenting complex data pipelines while adhering to Data Engineering best practices.
- Cross-Functional Collaboration: Collaborate closely with Data Engineering, analytics, and data science leadership to continuously enhance the functionality and capabilities of our data systems.
- Process Optimization: Identify opportunities for internal process improvements, spearheading automation of manual tasks, optimizing data delivery mechanisms, and redesigning infrastructure to ensure greater scalability and efficiency.
- Data Integration Mastery: Define and construct the infrastructure necessary to facilitate efficient extraction, transformation, and loading (ETL) of data from a diverse array of sources.
Strong Analytical Foundation: A robust background in mathematics, statistics, computer science, data science, or a related discipline, showcasing your analytical prowess.
Programming Proficiency: Advanced expertise in programming languages, particularly Python and SQL, to tackle complex data challenges.
Production Experience: Proven experience in the production environment with a range of essential tools and platforms, including Snowflake, DBT, Airflow, Amazon Web Services (AWS), Docker/Kubernetes, and PostgreSQL.
Database Mastery: Proficiency in database technologies, including Snowflake, PostgreSQL, Redshift, and others, enabling efficient data management.
Exceptional Organizational Skills: Strong organizational capabilities, allowing you to manage multiple projects and priorities concurrently while consistently meeting deadlines.
Additional Assets: Familiarity and experience with additional tools and technologies, such as AWS certification, Kafka Streaming/Kafka Connect, MongoDB, and CI/CD tools like GitLab, Jira, and Confluence, are highly advantageous.
