About The Job
ZAGENO is looking for an Analytics Engineer. As an Analytics engineer you will work with a small but growing data team to work across two main areas (1) moves and transforms data from the source so that it can be easily analyzed, visualized, and acted upon by the data analyst or business user. (2) to generate the data required for AI/ML models, from data lake house to data science and analytics. Given the variety of data and applications at ZAGENO, you will be collaborating with people and teams across the company. The ideal candidate will be data and data-quality driven, collaborative, proactive and curious.
In this role you will:
- Work closely with the Data Analysts to understand the business cases for analysis, challenges and data requirements
- Work closely with Data Engineering team and serve as a business data expert, providing support in setting technical requirements, business acceptance testing and maintaining documentation
- You will be overseeing existing data models, connections and automation for ZAGENO and Identifying opportunities for improving data reliability, efficiency and performance
- As ZAGENO utilizes many 3rd-party data sources, you will be responsible for maintaining communication with the internal ZAGENO stakeholders
- In your day-to-day work you will primarily use SQL, Python, GitHub, DBT, BigQuery, Databricks
- Stay up-to-date on latest technologies and tools for data measurement and analytics.
- Work with cross-functional stakeholders to understand their analytics needs to build efficient and scalable data solutions.
- Work closely with the Abacus.ai and Data Engineering team for building AI/ML models
- On this final point, professional growth, we are particularly focused on developing high potential, super smart people by adding to their technical skills - including AI; expanding their soft skills; and encouraging them to work with and learn from a wide array of colleagues of all experience levels.
About You:
- 2+ years of experience as an Analytics Engineer
- Expertise in an object-oriented or functional language is required (we use Python)
- Experience using BigQuery and DBT
- Experience with Data Visualization tool - Tableau
- Strong experience with Data Modeling
- Experience working with Databricks using AWS Cloud
- Strong SQL skills are required (we currently use Postgres, BigQuery, Databricks)
- Expertise with cloud environments is a must (we are a GCP and AWS shop)
- Experience with cloud data warehouses and distributed query engines is a plus
- Keen attention to detail, proactive and curious
- Ability to work with ambiguity and drive analytical solutions pragmatically to completion
- Proven record of designing and developing systems with desired SLAs and data quality metrics
- Experience with Machine Learning amp; MLOPs is a big plus
- Experience working with Data Observability solutions (Metaplane, Acceldata, etc.)
- Technical understanding of the importance of performance measures and their relation to business objectives
- A global team player, energized by collaborating and leading across cultures and geographies.
Lifelancer ( https://lifelancer.com ) is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech, data science and IT domains.
Please use the below Lifelancer link for job application and quicker response.
https://lifelancer.com/jobs/view/b3c6eaa11cb1aa03c6c6e378726f3c30 
