About Position:

We are looking for a skilled Data Engineer to develop and maintain scalable data pipelines and processing workflows across AWS-based data platforms. The ideal candidate will have strong expertise in Data Engineering, Python/PySpark, AWS Glue, and modern cloud data architectures. This role involves building ingestion frameworks, ETL/ELT pipelines, data lake solutions, and analytics platforms that enable reliable, scalable, and high-performance data processing.

Role: Data Engineer
Location: All Persistent Location
Experience: 3 to 10 Years
Job Type: Full-Time Employment

What You'll Do:

Build ingestion pipelines using AppFlow, MSK, DMS, SFTP
Develop ETL/ELT workflows using AWS Glue & EMR
Manage S3 data lake (RAW, Curated, Analytics zones),
Optimize data processing and query performance (Athena, Redshift)
Support orchestration via Step Functions and EventBridge
DBT Core/Cloud. Also, Orchestration to be implemented using DBT.

Expertise You'll Bring:

Strong understanding and experience in Redshift including SCD, Schema evolution and performance aspects




Understanding and exposure to Glue, Lambda and Step functions
4 to 8 years in data engineering
Strong Python/PySpark, SQL
Experience with AWS Glue, S3, EMR, Redshift
Knowledge of batch & streaming pipelines

Benefits:

Market-competitive salary and benefits package
Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
Opportunity to work with cutting-edge technologies
Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
Annual health check-ups
Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with

📌 Data Engineer (Pune)
🏢 Persistent Systems
📍 Pune