<p>Location: India Remote</p><br/><p>Employment Type: Full time</p><br/><p>Team: Data Engineering</p><br/><div><span style="font-size: 16px">At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle.&nbsp; Visit&nbsp;</span><a href="http://h1.co/" style="font-size: 16px" class="postings-link">h1.co</a><span style="font-size: 16px">&nbsp;to learn more about us.</span></div><div><br></div><div><span style="font-size: 16px">Data Engineering has teams that are responsible for collecting, curating, normalizing and matching data from hundreds of disparate sources from around the globe. Data sources include scientific publications, clinical trials, conference presentations and claims among others. In addition to developing the necessary data pipelines to keep every piece of information updated in real-time and provide the users with relevant insights, the teams are also building automated, scalable and low-latency systems for the recognition and linking of various types of entities, such as linking researchers and physicians to their scholarly research and clinical trials. As we rapidly expand the markets we serve and the breadth and depth of data we want to collect for our customers, the team must grow and scale to meet that demand.</span></div><div><br></div><div><br></div><div><b style="font-size: 16px">WHAT YOU'LL DO AT H1</b></div><div><span style="font-size: 16px">As a Software Engineer on the Data Engineering team, you will be key in analyzing vast amounts of data and providing user support within an AWS cloud environment. You’ll be responsible for writing production grade pipelines using big data technologies and data wrangling to support our internal product. You’ll manage projects across all stages including application deployment to deliver the best scalable, stable, and high-quality healthcare data application in the </span><a href="http://market.You" style="font-size: 16px" class="postings-link">market.</a></div><div><br></div><div><span style="font-size: 16px">You will:</span></div><div><span style="font-size: 16px">- Be&nbsp;responsible for product features related to data transformations, enrichment, and analytics.</span></div><div><span style="font-size: 16px">- Work closely with internal stakeholders, gathering requirements, delivering solutions, while effectively communicating progress and tracking tasks to meet project timelines.&nbsp;</span></div><div><span style="font-size: 16px">- Act as a subject matter expert for Real World Evidence (RWE) data (claims, publications, payments), and represent the data commercially with customers, in collaborations with the product team, and in presentations to the ELC</span></div><div><span style="font-size: 16px">- You’ll work within end-to-end delivery of data to produce and shape the direction of RWE data at H1</span></div><div><span style="font-size: 16px">- Help steer the technical strategy and architecture, ensuring the smooth development, deployment, and scalability of applications across the entire technology stack.</span></div><div><span style="font-size: 16px">- Collaborate closely with our Insights/AI team to build knowledge into our data and AI/ML platforms</span></div><div><span style="font-size: 16px">- Work cross-functionally across the engineering, data, and product organizations to support your team in delivering the best healthcare data application in the market</span></div><div><br></div><div><br></div><div><b style="font-size: 16px">ABOUT YOU</b></div><div><span style="font-size: 16px">You possess robust hands-on technical expertise encompassing both conventional and non-conventional ETL methodologies, alongside proficiency in T-SQL and Spark-SQL. Your skill set includes mastery of multiple programming languages such as Python (PySpark), Java, or Scala, as well as adeptness in streaming and other advanced data processing techniques. As a self-starter, you excel in managing projects across all stages, from requirement gathering and design to coding, testing, implementation, and ongoing support. Your proactive approach and diverse skill set make you an invaluable asset in driving innovation and delivering impactful solutions within our dynamic data engineering team.</span></div><div><br></div><div><br></div><div><b style="font-size: 16px">REQUIREMENTS </b></div><div><span style="font-size: 16px">- 3+ years of experience working with strong big data engineering teams and deploying products on AWS</span></div><div><span style="font-size: 16px">- Strong coding skills in Python (PySpark), Java, Scala or any proficient language of choice and stacks supporting large scale data processing&nbsp;</span></div><div><span style="font-size: 16px">- Experience with Docker, Kubernetes or Terraform.</span></div><div><span style="font-size: 16px">- Experience with databases like PostgreSQL</span></div><div><span style="font-size: 16px">- Software management tools such as Git, JIRA, and CircleCI</span></div><div><span style="font-size: 16px">- Strong grasp of computer science fundamentals: data structures, algorithmic trade-offs, etc.</span></div><div><span style="font-size: 16px">-&nbsp; Experience with data processing technologies like Spark Streaming, Kafka Streaming, K-SQL , Spark SQL, or Map/Reduce</span></div><div><span style="font-size: 16px">- Understanding on various distributed file formats such as Apache AVRO, Apache Parquet and common methods in data transformation</span></div><div><span style="font-size: 16px">- Experience in performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement</span></div><div><span style="font-size: 16px">- Should be willing to manage projects through all the stages (requirements, design, coding, testing, implementation, and support).</span></div><div><span style="font-size: 16px">- Ability to write clean, modular data processing code that is easy to maintain.</span></div><div><br></div><div><i style="font-size: 16px">Not meeting all the requirements but still feel like you’d be a great fit? Tell us how you can contribute to our team in a cover letter!&nbsp;</i></div><div><br></div><div><b style="font-size: 16px">H1 OFFERS</b></div><div><span style="font-size: 16px">- Full suite of health insurance options, in addition to generous paid time off</span></div><div><span style="font-size: 16px">- Pre-planned company-wide wellness holidays</span></div><div><span style="font-size: 16px">- Retirement options</span></div><div><span style="font-size: 16px">- Health &amp; charitable donation stipends</span></div><div><span style="font-size: 16px">- Impactful Business Resource Groups</span></div><div><span style="font-size: 16px">- Flexible work hours &amp; the opportunity to work from anywhere</span></div><div><span style="font-size: 16px">- The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe</span></div><div><br></div>

Location: India Remote

  

Employment Type: Full time

  

Team: Data Engineering

  

At H1, we believe access to the best healthcare information is a basic human
right. Our mission is to provide a platform that can optimally inform every
doctor interaction globally. This promotes health equity and builds needed
trust in healthcare systems. To accomplish this our teams harness the power of
data and AI-technology to unlock groundbreaking medical insights and convert
those insights into action that result in optimal patient outcomes and
accelerates an equitable and inclusive drug development lifecycle.  Visit
[h1.co](http://h1.co/) to learn more about us.

  

Data Engineering has teams that are responsible for collecting, curating,
normalizing and matching data from hundreds of disparate sources from around
the globe. Data sources include scientific publications, clinical trials,
conference presentations and claims among others. In addition to developing
the necessary data pipelines to keep every piece of information updated in
real-time and provide the users with relevant insights, the teams are also
building automated, scalable and low-latency systems for the recognition and
linking of various types of entities, such as linking researchers and
physicians to their scholarly research and clinical trials. As we rapidly
expand the markets we serve and the breadth and depth of data we want to
collect for our customers, the team must grow and scale to meet that demand.

  

  

 **WHAT YOU'LL DO AT H1**

As a Software Engineer on the Data Engineering team, you will be key in
analyzing vast amounts of data and providing user support within an AWS cloud
environment. You’ll be responsible for writing production grade pipelines
using big data technologies and data wrangling to support our internal
product. You’ll manage projects across all stages including application
deployment to deliver the best scalable, stable, and high-quality healthcare
data application in the [market.](http://market.You)

  

You will:

\- Be responsible for product features related to data transformations,
enrichment, and analytics.

\- Work closely with internal stakeholders, gathering requirements, delivering
solutions, while effectively communicating progress and tracking tasks to meet
project timelines.

\- Act as a subject matter expert for Real World Evidence (RWE) data (claims,
publications, payments), and represent the data commercially with customers,
in collaborations with the product team, and in presentations to the ELC

\- You’ll work within end-to-end delivery of data to produce and shape the
direction of RWE data at H1

\- Help steer the technical strategy and architecture, ensuring the smooth
development, deployment, and scalability of applications across the entire
technology stack.

\- Collaborate closely with our Insights/AI team to build knowledge into our
data and AI/ML platforms

\- Work cross-functionally across the engineering, data, and product
organizations to support your team in delivering the best healthcare data
application in the market

  

  

 **ABOUT YOU**

You possess robust hands-on technical expertise encompassing both conventional
and non-conventional ETL methodologies, alongside proficiency in T-SQL and
Spark-SQL. Your skill set includes mastery of multiple programming languages
such as Python (PySpark), Java, or Scala, as well as adeptness in streaming
and other advanced data processing techniques. As a self-starter, you excel in
managing projects across all stages, from requirement gathering and design to
coding, testing, implementation, and ongoing support. Your proactive approach
and diverse skill set make you an invaluable asset in driving innovation and
delivering impactful solutions within our dynamic data engineering team.

  

  

 **REQUIREMENTS**

\- 3+ years of experience working with strong big data engineering teams and
deploying products on AWS

\- Strong coding skills in Python (PySpark), Java, Scala or any proficient
language of choice and stacks supporting large scale data processing

\- Experience with Docker, Kubernetes or Terraform.

\- Experience with databases like PostgreSQL

\- Software management tools such as Git, JIRA, and CircleCI

\- Strong grasp of computer science fundamentals: data structures, algorithmic
trade-offs, etc.

-  Experience with data processing technologies like Spark Streaming, Kafka Streaming, K-SQL , Spark SQL, or Map/Reduce

\- Understanding on various distributed file formats such as Apache AVRO,
Apache Parquet and common methods in data transformation

\- Experience in performing root cause analysis on internal and external data
and processes to answer specific business questions and find opportunities for
improvement

\- Should be willing to manage projects through all the stages (requirements,
design, coding, testing, implementation, and support).

\- Ability to write clean, modular data processing code that is easy to
maintain.

  

 _Not meeting all the requirements but still feel like you’d be a great fit?
Tell us how you can contribute to our team in a cover letter!  _

  

 **H1 OFFERS**

\- Full suite of health insurance options, in addition to generous paid time
off

\- Pre-planned company-wide wellness holidays

\- Retirement options

\- Health & charitable donation stipends

\- Impactful Business Resource Groups

\- Flexible work hours & the opportunity to work from anywhere

\- The opportunity to work with leading biotech and life sciences companies in
an innovative industry with a mission to improve healthcare around the globe

  

