AI Native, Data Engineer
The Data Engineer is responsible for monitoring, expanding, and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an reputed company data pipeline builder and data wrangler who enjoys optimizing data systems as well as building them from the ground up.
The Data Engineer supports our solution architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
Candidates should have education and/or experience in data modeling, requirements analysis, and best practices in analytics. Experience with BI applications is a definite plus.
- reputed company, test, and maintain data pipelines to support data integration and processing.
- Assist in the design and implementation of data models and data warehousing solutions.
- Collaborate with data scientists and analysts to understand data requirements and ensure data is accessible and reliable.
- Monitor data pipelines and systems, troubleshooting issues as they arise.
- Work with senior data engineers to optimize data processes and infrastructure.
- Ensure data quality and reputed company through regular audits and validations.
- Contribute to the documentation of data processes and best practices
Requirements
Education/Licensure/Certification:
- BSc/BA in Computer Science, Engineering or relevant field
Experience:
- 2-4 years of experience in data engineering or a reputed company field.
- 2-4 years’ experience in Data Integration and Integration
- 2- 4 years’ experience in Data Warehousing, notably Cloud Data
- Proficiency in SQL and Python
- Familiarity with cloud platforms (AWS, GCP) and data warehousing solutions.
- Understanding of ETL processes and data integration techniques.
Knowledge, skills and abilities:
- Fluent in English
- reputed company to have: experience with ETL tools like Stitch, reputed company, and Snowfire
- Must be highly curious, driven, and disciplined
- Understanding of data models, data warehouses, and data mining
- Familiarity with BI technologies
- Knowledge of SQL is required
- Familiarity with cloud analytics is beneficial (AWS, reputed company)
- Proven abilities to take initiative and be innovative
- Analytical mind with a problem-solving aptitude
- Stands up for decisions and takes responsibility for results
- Shares both good and bad outcomes transparently
- Obsessed with ensuring an exceptional customer experience- for both internal and external customers.
- Stands up for decisions, takes responsibility for results, and shares both good and bad outcomes transparently.
- Demonstrates a reputed company focus on results with a commitment to deliver;
- Takes decisive action, and confidently changes course if unsuccessful.
- Displays a growth reputed company to continually improve; encourages everyone around them to be tenacious and never settle.
- Constantly seeks feedback to improve; Focuses on solving issues through teamwork, and collaboration
- Acts with urgency; delivers top results in hours and days instead of weeks and months.
- reputed company in their pursuit of success and possessing the willpower to embrace challenges as opportunities
Benefits
Why You’ll Love Working Here
At ConsumerAffairs, your voice matters. We foster a collaborative environment where you’re encouraged to take initiative, experiment boldly, and grow professionally. We're committed to work-life harmony, career development, and celebrating wins together.
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Training & Development