Job Overview and Responsibilities

• Combine raw data from different sources and integrate into a central datalake then a data warehouse
• Build the data system and pipeline using Airflow or similar tools
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Explore ways to enhance data quality, pipeline stability and reliability
• Develop analytical tools and programs using BI tools like PendoAI, Logi Analytics, etc.
• Conduct complex data analysis and report on requests and visualize the data for stakeholders
• Prepare data for prescriptive and predictive modeling
• Collaborate with data scientists and architects

Key Requirements

• Bachelor’s degree in computer science, engineering, or a related field
• At least 3 years of working as a data engineer or in a similar role
• Technical expertise with data models, analysis, pipeline architecture, ETL/ELT and segmentation techniques
• Have strong knowledge of python and its data engineering library like NumPy, PyTorch, etc.
• Have strong knowledge of SQL query and relational model design
• Have strong knowledge of NoSQL databases and their architecture
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Experience with data pipeline and workflow management tools like Airflow or similar tools etc.
• Experience with one of cloud services: Azure, Google Cloud or AWS
• Experience with stream-processing systems: Storm, Spark-Streaming, etc. is a plus
• Experience with big data tools like Hadoop, Spark, Kafka, etc. is a plus

Why You Should Apply This Position

• Funny, diverse, and dynamic community​
• Contribute to an exciting and fast-moving industry
• SaaS & Data is the future of Pharma & Healthcare
• Because SaaS and Pharma are hot spots and great experiences for you.
• Because you want to work in a global environment with the potential for an international career, supported by an experienced leadership team.
• Because you have ambitions and are not afraid of taking more responsibilities.
• Because you want to see the impact your job has on your team & company.