Data Engineer

About the job:

Design, document, and develop distributed and event-driven data pipelines with cloud-native data stores such as Snowflake, Redshift, Big Query, or ADW.
Consult business, product, and data science teams to understand end-user requirements or analytics needs to implement the most appropriate data platform technology and scalable data engineering practices.
Prepare data mapping, data flow, production support, and pipeline documentation for all projects.
Delivering completeness of source system data by performing a profiling analysis and triaging issues reported in production systems.
Facilitate fast and efficient data migrations through a deep understanding of design, mapping, implementation, management, and support of distributed data pipelines

Minimum of Bachelor’s Degree or its equivalent in Computer Science, Computer Information Systems, Information Technology and Management, Electrical Engineering or a related field.
You have a strong background in distributed data warehousing with Snowflake, Redshift, Big Query, and/or Azure Data Warehouse. You have productionized real-time data pipelines through EDA leveraging Kafka or a similar service.
You know what it takes to build and run resilient data pipelines in production and have experience implementing ETL/ELT to load a multi-terabyte enterprise distributed data warehouse.
You have a strong understanding and exposure to data mesh principles in building modern data-driven products and platforms
You have expert programming/scripting knowledge in building and managing ETL pipelines using SQL, Python, and Bash.
You have implemented analytics applications using multiple database technologies, such as relational, multidimensional (OLAP), key-value, document, or graph.

Minimum of Bachelor’s Degree or its equivalent in Computer Science, Computer Information Systems, Information Technology and Management, Electrical Engineering or a related field.
You have a strong background in distributed data warehousing with Snowflake, Redshift, Big Query, and/or Azure Data Warehouse. You have productionized real-time data pipelines through EDA leveraging Kafka or a similar service.
You know what it takes to build and run resilient data pipelines in production and have experience implementing ETL/ELT to load a multi-terabyte enterprise distributed data warehouse.
You have a strong understanding and exposure to data mesh principles in building modern data-driven products and platforms
You have expert programming/scripting knowledge in building and managing ETL pipelines using SQL, Python, and Bash.
You have implemented analytics applications using multiple database technologies, such as relational, multidimensional (OLAP), key-value, document, or graph.

Average salary estimate

$110000 / YEARLY (est.)

min

max

$90000K

$130000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Engineer, Vettura LLC

Are you a passionate Data Engineer looking to make a real impact? Join our innovative company where you'll have the opportunity to design and develop dynamic data pipelines driven by cloud-native technologies like Snowflake, Redshift, Big Query, and ADW. In this role, you'll collaborate with business, product, and data science teams to uncover and understand end-user requirements, allowing you to implement the best data platform technology and create scalable data engineering practices. You’ll be at the forefront of ensuring data accuracy by preparing comprehensive documentation, performing profiling analyses, and addressing issues in production systems. Your expertise will facilitate rapid data migrations and ensure the integrity of the data being processed. We’re looking for someone with a solid educational background in fields such as Computer Science or Information Technology and Management, combined with hands-on experience in building resilient data pipelines using various scripting languages like SQL, Python, and Bash. If you've worked with distributed data warehousing and have a knack for transforming multi-terabyte enterprise systems through ETL/ELT, then this position is the perfect fit. Additionally, your understanding and application of data mesh principles to create modern data-driven products will set you apart. Come join us as we leverage data to drive decision-making and innovation!

Frequently Asked Questions (FAQs) for Data Engineer Role at Vettura LLC

What are the responsibilities of a Data Engineer at this company?

The Data Engineer at our company is pivotal in designing and developing distributed, event-driven data pipelines using cloud-native data stores. Responsibilities include consulting with teams to identify analytics needs, preparing data documentation, conducting profiling analyses, and managing production supports to ensure data integrity.