Roles & Responsibilities:
The Data Engineer will be responsible for building Data Engineering Platform, Data Architecture and Vertical SaaS solutions that are used by scientists and researchers at top Pharma companies.
The ideal candidate will have a strong background in Data Engineering (with Python), have experience working with large data sets, and deploying data-driven solutions. You are focused on results, a self-starter, able to put the team first, and have demonstrated success in using data science to develop and deploy solutions with a focus on impact.
Mandatory Skills:
Python, Strong understanding of data structures, data modelling, and software architecture.
Big data technologies- Spark, Flink, Iceberg, Avaro, Hadoop, Presto, Elastic Search, Kubernetes.
Analytics technologies- Big Querry, Redshift, Snowflake, Power BI.
Cloud Technologies: GCP/AWS
Immediate Joiners are preferred.
Interested candidates can share your CV to sr********************n@se********d.com
Keyskills: python spark GCP hadoop data engineering AWS presto
SecureKloud is a cloud native company with a combination of products, frameworks and services, designed to solve problem around Blockchain, Cloud, Enterprise Security, Decision Engineering and Managed Services.SecureKloud is a certified AWS and Google Cloud Partner working on n...