Data Engineer II

NPS Prism

Data Engineer II responsible for developing ETL/ELT workflows and managing data lakes for NPS Prism. Collaborating with teams to design data solutions on cloud platforms like Azure and AWS.

Posted 6/11/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLPySparkPythonSQLTableau

About the role

Key responsibilities & impact

Design, build, and optimize ETL/ELT workflows using Databricks, SQL, Python/pyspark & Alteryx
Work on cloud platforms (Azure, AWS) to build and manage data lakes, data warehouses, and scalable data architectures
Use Databricks for big data processing, analytics, and real-time data processing
Collaborate with cross-functional teams to deliver impactful data solutions
Leverage CI/CD pipelines to streamline development, testing, and deployment of data engineering workflows

Requirements

What you’ll need

3–6 years of experience in Data Engineering or related roles
Proficiency in Python, SQL, and PySpark for data processing and manipulation
Hands-on experience with big data processing frameworks, data lakes, and cloud-native services
Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field
Familiarity with data visualization tools like Power BI, Tableau, or similar is a plus

Benefits

Comp & perks

Health insurance
Professional development opportunities
Flexible working environment
Collaboration across global teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETLELTDatabricksSQLPythonPySparkAlteryxbig data processingdata lakesdata warehouses

Soft Skills

collaborationcommunication

Certifications

Bachelor’s degreeMaster’s degree