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!
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