Job Duties And Responsibilities

We are looking for a self-starter to join our Data Engineering team. You will work in a

fast-paced environment where you will get an opportunity to build and contribute to the full lifecycle development and maintenance of the data engineering platform.

With the Data Engineering team you will get an opportunity to -

• Design and implement data engineering solutions that is scalable, reliable and
  
  

secure on the Cloud environment

• Understand and translate business needs into data engineering
  
  

solutions

• Build large scale data pipelines that can handle big data sets using distributed
  
  

data processing techniques that supports the efforts of the data science and data

application teams

• Partner with cross-functional stakeholder including Product managers, Architects,
  
  

Data Quality engineers, Application and Quantitative Science end users to deliver

engineering solutions

• Contribute to defining data governance across the data platform
  
  

Basic Requirements

• A minimum of a BS degree in computer science, software engineering, or related
  
  

scientific discipline is desired

• 3+ years of work experience in building scalable and robust data engineering
  
  

solutions

• Strong understanding of Object Oriented programming and proficiency with
  
  

programming in Python (TDD) and Pyspark to build scalable algorithms

• 3+ years of experience in distributed computing and big data processing using
  
  

the Apache Spark framework including Spark optimization techniques

• 2+ years of experience with Databricks, Delta tables, unity catalog, Delta
  
  

Sharing, Delta live tables(DLT) and incremental data processing

• Experience with Delta lake, Unity Catalog
• Advanced SQL coding and query optimization experience including the ability to
  
  

write analytical and nested queries

• 3+ years of experience in building scalable ETL/ ELT Data Pipelines on Databricks
  
  

and AWS (EMR)

• 2+ Experience of orchestrating data pipelines using Apache Airflow/ MWAA
• Understanding and experience of AWS Services that include ADX, EC2, S3
• 3+ years of experience with data modeling techniques for structured/
  
  

unstructured datasets

• Experience with relational/columnar databases - Redshift, RDS and interactive
  
  

querying services - Athena/ Redshift Spectrum

• Passion towards healthcare and improving patient outcomes
• Demonstrate analytical thinking with strong problem solving skills
• Stay on top of emerging technologies and posses willingness to learn.
  
  

Bonus Experience (optional)

• Experience with Agile environment
• Experience operating in a CI/CD environment
• Experience building HTTP/REST APIs using popular frameworks
• Healthcare experience