Data Engineer/Analyst maintaining and improving data infrastructure for Braiins. Collaborating with technical and business teams to ensure reliable data flows and insights.
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
Medior Data Engineer handling Azure migrations for a major urban mobility client. Focused on data pipeline development and ensuring platform reliability with cutting - edge technologies.
Developing ML and computer vision solutions for cutting - edge autonomous vehicle dataset pipeline at Mobileye. Collaborating across teams for data curation and advanced perception algorithms.
Data Migration Lead in a hybrid role managing data migration for a major transformation programme in the media sector. Collaborating with various teams to ensure data integrity and successful migration.
Consultant ML & DataOps at Smile integrating data science projects for major clients. Designing MLOps solutions and enhancing data governance in a collaborative environment.
Data Engineer developing and maintaining data pipelines for Coolbet’s analytical services. Working within an Agile framework to ensure data reliability and efficiency.
API Data Engineer developing innovative data - driven solutions and advancing data architecture for AI Control Tower. Building and integrating APIs and data pipelines to support organizational needs.
Journeyman Data Architect supporting Leidos' enterprise data and analytics program for the Department of War. Collaborating on solutions for data architecture, cloud environments, and governance.
Senior Software Engineer developing backend services and data infrastructure for integrated products at Booz Allen. Collaborating with a small elite team to deliver reliable and scalable services.
AWS Streaming Data Engineer developing software and systems in a fast, agile environment. Utilizing experience with real - time data ingestion and processing systems across distributed environments.