Cloud Data Engineer implementing tailored solutions for Volkswagen Group data processing. Building ETL/ELT pipelines while collaborating with technical experts.
About the role
- Data Engineer at Orennia focusing on building data pipelines and ELT processes. Collaborating with cross-functional teams in a dynamic, fast-paced environment.
Responsibilities
- Analyze, design, develop, test, review, document and troubleshoot data pipeline / ELT solutions against multiple structured and unstructured data sources
- Support our team of analysts through developing requirements and delivering solutions
- Develop code to scrape public websites for data and perform ELT processes
- Maintain, monitor, and support production ELT processes and respond to error and emergency issues
Requirements
- Excellent knowledge and experience with Big Data concepts like data lakes, data warehouses, ELT strategies, and best practices
- Strong understanding of relational and dimensional data modeling
- Strong analytical and problem-solving skills
- Experience with DBT and SQL, and proficient with Python
- Extensive experience with cloud-based data processing and warehousing technologies (Databricks, Snowflake, etc)
- Experience with Lean and Agile development methodologies (such as Kanban or SCRUM)
- Comfortable in entrepreneurial, self-starting, and fast-paced environment, working both independently and with highly skilled teams
- Experience with other Big Data processing technologies and cloud services (AWS, GCP, Snowflake, Hive, Hadoop, MS SQL, etc)
- Experience with JIRA and similar organizational tools
- Experience building web-scraping tools against publicly available datasets (considered an asset)
- Experience with GIS/geospatial data processing, integration, and analysis (considered an asset)
- Experience building or supporting data visualizations (considered an asset)
- Deep intellectual curiosity with a results-focused relentless pursuit of answers
- Ability to work in a fast-paced start-up environment, embrace change and ambiguity
- Hungry to learn and contribute
Benefits
- Competitive total rewards package
- Comprehensive health, dental and vision benefits
- Savings program with company matching
- Learning and development budget
- Generous time off including holidays, paid vacation days and paid sick days
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer designing and optimizing data pipelines using Databricks and Google Cloud Platform. Collaborating with analysts and scientists to deliver high - quality data products.
Data Engineer responsible for building scalable data infrastructure that supports data - driven decisions. Collaborating with team to maintain systems and unlock data value for organizations.
Associate Data Engineer supporting privacy engineering controls and executing privacy impact assessments in a financial services company. Collaborating across business units to ensure alignment with privacy regulations.
Senior Data Engineer at CVS Health developing robust data pipelines for healthcare data. Collaborating with teams to provide actionable insights and integrate them with consumer touchpoints.
Data Engineer at CVS Health optimizing data pipelines and analytical models. Driving data - driven decisions with healthcare data for improved business outcomes.
Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
Data Architect leading the definition and construction of cloud data architecture for Kyndryl. Participating in significant technological modernization initiatives, focusing on Google Cloud Platform.
Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.