Senior Data Engineer, Analytics

Temporarily WFH due to COVID-19 • Chennai, India

Location:  Chennai, India.  Work from home flexible but individuals must be eligible to work in Chennai, India without sponsorship

Job Type

Full-time

ABOUT INSPIRE:

Inspire, the largest social network for health, is seeking a highly collaborative professional to work across functional teams and disciplines supporting the dissemination and interpretation of data from across the organization. We work to connect and empower patients and caregivers while finding ways to push forward medical research.  This position combines advanced knowledge in database systems and programming languages with strong interpersonal and project management skills. We are looking for someone with a very broad interest in transforming patient-authored text into powerful new tools.

WHAT YOU WILL BE DOING:

  • Research and create effective methods to collect, analyze, and store data efficiently that meets technical and business needs
  • Build strong working relationships with the engineering team to understand technical dependencies and architectural impact
  • Identify new data sources and assist with the development of new tables in the data warehouse
  • Build new and maintain existing ETL processing pipelines such as Airflow and improve its efficiency 
  • Build data pipelines and ETL processes in AWS assisting the Machine Learning efforts
  • Follow the latest developments in ETL processing and data engineering methods for analytics and machine learning
  • Drive to understand organizational goals to chart out and maintain a data architecture plan
  • Work with Data Scientists and Engineers to research and develop a CI/CD Process for machine learning projects
  • Have strong ethical integrity about the use of data and privacy

Requirements

WHAT WE NEED:

  • 5+ years of experience programming with Python
  • 5+ years of experience with SQL and relational databases
  • 4+ years of experience with Git and version-control
  • 3+ years of experience working in a Unix environment
  • Experience with AWS products and services supporting data engineering and ETL applications
  • Ability to understand technical needs and convert them into a feasible architectural plan
  • Experience working with Jupyter Notebooks and AWS Sagemaker
  • Experience performing large scale data transformation and data cleansing processes
  • Solid analytical skills and demonstrated problem-solving ability
  • Bachelor or Master degree in computer science or a related field with analytical training OR an equivalent combination of education/experience in technology and operations

WHAT WE VALUE:

Full time employees are eligible for:

  • Competitive salary and benefits
  • Quarterly performance bonus
  • Health insurance
  • Flexible Time Off policy