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About the Company
ZAGENO offers the largest life sciences lab supply marketplace. Our one-stop shop helps scientists, lab managers, and procurement leaders compare products, source alternatives, track deliveries, and communicate order statuses in real time, accelerating innovation by saving valuable time. Leveraging advanced AI, ZAGENO enhances supply chain resilience and makes the customer experience superior, seamlessly integrating with existing systems to boost productivity and make online shopping for research materials convenient, efficient, and reliable. We are committed to innovation, excellence, and fostering a supportive, and dynamic work environment.
About the Role
ZAGENO is hiring a Data Engineer to establish data driven pipelines as well as seamless data platform setup. You would dedicate your time to improve the reliability, efficiency and performance of all data related operation environments across the ZAGENO platform and related systems in development, staging and production.
Alongside establishing data driven pipelines to establish seamless Data Platform setup, Data Engineer would be dedicated full-time to improve the reliability, efficiency and performance of all data related operation environments across the ZAGENO platform and related systems in development, staging and production, fixing issues, responding to release efforts, and operational incidents.
Key deliverables could include improved ZAGENO data pipeline availability, reduced data latency (all types) across environments. Increased utilization of ZAGENO infrastructure to minimize adding capacity as dataflows increase in volume and frequency as customers and catalog items are added.
In this role, you will:
- 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
About you
- 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
Our 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
