Full - Stack Data Engineer designing and optimizing complex data solutions for automotive content. Collaborating with teams to enhance user experience across MOTOR's product lines.
About the role
- Data Engineer establishing data pipelines and improving data platforms for ZAGENO's life sciences lab supply marketplace. Collaborating with teams to enhance data quality and performance.
Responsibilities
- Architect and develop data pipelines to optimize for performance, quality, and scalability
- Collaborate with data, engineering, and business teams to build tools and data marts that enable analytics
- Develop testing and monitoring to improve data observability and data quality
- Partner with data science to build and deploy predictive models
- Support code versioning, and code deployments for Data Pipelines
Requirements
- 3-5 years of experience as a data engineer
- Strong experience with DATALAKE, DATA WAREHOUSE and DELTA TABLES
- Strong SQL skills are required (we currently use Big Query, Databricks)
- Strong experience with Spark and big data tech
- Strong hand-on in Pyspark and SQL
- Experience orchestrating and scheduling data pipelines is required
- Expertise with cloud environments (AWS or GCP) is must
- Experience with cloud data warehouses and distributed query engines is a plus
- Proactive and keen attention to detail
Benefits
- Working for a mission-driven business with a meaningful challenge with a positive impact on the scientific community
- A clear growth perspective
- A learning and development budget to enable your ambitions to grow professionally in your field
- A professional and dynamic team with a global vision and mindset
- An exciting, international working environment - we have more than 40 nationalities!
- We’ve got your health benefits (medical, dental, and vision)
- Hybrid Work with 3 days work from office in our Bangalore office
- Staying healthy and fit is essential - we cover a part of your gym membership!
- Holidays and flexible PTO
- Paid family leave
- A budget to improve your home office environment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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