Jobs for People with MS: National MS Society

Overview

What you will do

• Build data pipelines to assemble large, complex sets of data that meet non-functional andfunctional business requirements

• Build analytical tools to utilize the data pipeline, providing actionable insight into key businessperformance including operational efficiency and business metrics

• Work closely with data architect, SMEs and other technology partners to develop & execute onthe data architecture and product roadmap

• Work with stakeholders including the leadership, product, customer teams to support their datainfrastructure needs while assisting with data-related technical issues.

• Act as a subject matter expert to leadership for technical guidance, solution design and bestpractices within the customer organization

• Keep current on big data and data visualization technology trends, evaluate, work on proof-ofconcept and make recommendations on cloud technologies

What You Have

• 3+ years of data engineering experience working in partnership with large data sets

• Solid experience, developing and implementing DW Architectures, OLAP & OLTP technologies,data modeling with star/snowflake-schemas to enable self-service reporting and data lake.

• Experience building data solutions within any cloud platforms using Postgres, Informatica,Redshift, Tableau and other similar services and tools

• Advanced SQL and programming experience with Python and/or Spark

• Experience or demonstrated understanding with real-time data streaming tools like Kafka,Kinesis or any similar tools

• 2+ years of experience designing, building and testing Java EE applications

• Great problem-solving capabilities, troubleshooting data issues and experience in stabilizing bigdata systems

• Excellent communication and presentation skills as you’ll be regularly interacting withstakeholders and engineering leadership.

• Bachelor’s or master's in quantitative disciplines such as Computer Science, ComputerEngineering, Analytics, Mathematics, Statistics, Information Systems, or other scientific fields.

• Nice to Have: Hands-on deep experience with SaaS data product, and experience working withquery engines like Presto, Druid, or Snowflake and multi-dimensional OLAP cube

• Nice to Have: Certification in one of the cloud platforms (AWS/GCP/Azure)

Job Locations IN-Bangalore

ID 2024-4207

Category Engineering

Position Type Full-Time

HealthEdge provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.