Sr. Data Engineer
SkyPoint Cloud5+ yrsRemoteDirect career pageEst. 15–28 LPA
Posted on 6 Sept
Reach people at SkyPoint Cloud
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at SkyPoint Cloud you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable ETL/ELT data pipelines and cloud-based data platforms using tools like Snowflake, Databricks, Python, SQL, and Spark.
- Develop and optimize data ingestion, modeling, and processing workflows to support AI, analytics, and healthcare system integrations with a focus on performance, scalability, and cost efficiency.
- Collaborate with US-based teams and customers to define data requirements, troubleshoot issues, and deliver production-ready solutions with strong technical ownership, including mentoring junior engineers.
Minimum Requirements
- 5+ years of professional Data Engineering experience.
- Advanced proficiency in SQL and Python with hands-on experience in production-grade ETL/ELT pipelines and Apache Spark/PySpark.
- Experience with modern cloud data platforms (Snowflake or Databricks) and cloud services (AWS or Azure).
- Must be comfortable working remotely primarily during EST/PST business hours.
Ideal Candidate Profile
- Experienced in complex healthcare or enterprise data environments, comfortable handling large, messy datasets and integrating multiple data sources including APIs and third-party systems.
- Strong ownership mindset with ability to independently gather requirements and deliver end-to-end data engineering solutions in fast-paced settings.
- Able to engage directly with US customers and cross-functional teams to solve problems and guide junior engineers, thriving in remote collaboration during US time zones.