Biofourmis | Hiring | Data Engineer | BigDataKB.com | 1/11/2022

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Biofourmis

Bangalore

Healthcare Services & Hospital

Biofourmis is a rapidly growing, global digital health company filled with committed, passionate professionals who care about augmenting personalized care and empowering people with complex chronic conditions to live better and healthier lives. We are pioneering an entirely new category of medicine by developing clinically validated, software-based therapeutics to provide improved outcomes for patients, smarter engagement & tracking tools for clinicians, and cost-effective solutions for payers. We are collectively devoted to a single-minded idea: powering personally predictive care.

Our dynamic growth has been marked by quadrupled headcount in the last 12 months via both expansion & acquisition, yielding a global footprint with offices in Boston, Singapore, Bangalore, and Zurich. We are backed by prominent international venture capital investment & have cultivated relationships with worldwide healthcare stakeholders over the last 5 years. Our talented team features numerous PhD’s in Data Science and Biostatistics, over 80 patents, prolific scientific publications, world-class systems, developers & engineers, and leaders in the clinical operations space.

We are looking for a Data Engineer to be part of growing team at Biofourmis. You will play a major role in Developing, Deploying, and Supporting Biofourmis’s Data Warehouse and Reporting Stack. We are looking for someone who is eager to leverage their existing skills and seek out new skills and solutions.


Role Responsibilities

  • You will play a major role in Developing, Deploying, and Supporting Biofourmis’s Data Warehouse and Reporting Stack.
  • Create and maintain optimal data pipeline architecture Build and contribute to existing ELT (extract, load and transform) data pipelines.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Build solutions that utilize the data pipeline to provide actionable insights for key business performance metrics.
  • Contribute to reporting and visualization layer.
  • Resolve operational issues as they occur to maintain the team’s SLAs.

Skills (Must)

  • Proven background in ETL development and data processing.
  • Strong SQL expertise and database concepts
  • Experience with data warehousing concepts, data modeling, and data wrangling
  • Experience with Unix/Shell or Python scripting
  • Strong CS fundamentals including data structures and distributed systems.
  • Able to build and operate Data Pipelines, Build and operate Data Storage
  • AWS Stack: EC2, S3, Redshift, Glue or AWS Data Pipeline, Athena
  • Database: MongoDB, RDS, DynamoDB
  • We are looking for someone who is keen to leverage their existing skills and seek out new skills and solutions.

Skills (Good to Have)

  • Exposure to working with DBT
  • Exposure to using BI Tools (Tableau)
  • Exposure to the healthcare domain
  • Exposure to embedded analytics

Apply Here

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