AWS Data Engineer (PySpark) | Infosys Client | 14 Days Joiner

Job Title: AWS Data Engineer (PySpark) | Infosys Client | 14 Days Joiner - PAN Number is mandatory for Infosys submission

Job Highlights

• Role: AWS Data Engineer (PySpark / Python / SQL)
• Company Payroll: Spruce Infotech Pvt Ltd
• Client Premises: Infosys Office (Hyderabad / Gurgaon / Noida)
• Work Timings: 2:00 PM 11:00 PM IST
• Work Mode: Hybrid (2–3 days/week in office, min. 6 hours presence)
• Notice Period: Immediate Joiners to 14 Days Max
• Fixed Salary: Up to 19.0 LPA (100% Fixed)

Job Description

We are hiring a Senior AWS Data Engineer with 5+ years of experience to join Spruce Infotech Pvt Ltd and work on-site at Infosys client locations.

If you are a PySpark expert with hands-on experience in AWS serverless data services (Glue, Lambda, S3) and can join within 14 days, we want to hear from you!

Key Responsibilities

• ETL & Data Pipelines: Design, build, and optimize scalable data pipelines using PySpark, Python, and SQL (PySpark is top priority).
• AWS Cloud Engineering: Develop cloud-native solutions using S3, AWS Glue, AWS Lambda, SNS, SQS, and CloudWatch.
• Job Orchestration: Set up, schedule, and maintain complex enterprise workflows using tools like Tidal, TWS, or Airflow.
• CI/CD & DevOps: Build automated build and release pipelines using Jenkins.
• Optimization & Governance: Monitor, troubleshoot, and optimize data job performance while adhering to strict security and governance standards.

Desired Candidate Profile

• Total Experience: 5+ Years (Minimum 4+ years dedicated to Data Engineering).
• Core Tech Stack: Expert-level PySpark, Python, and SQL.
• AWS Expertise: Hands-on experience with AWS Glue, Lambda, and S3.
• DevOps & Schedulers: Hands-on experience with Jenkins and job schedulers (Tidal / TWS).
• Notice Period: Must be an Immediate Joiner or able to join within 14 days.
• Shift Readiness: Comfortable working 2:00 PM – 11:00 PM IST shift.

Role & Hiring Details

• Role Category: Data Engineering & Analytics
• Employment Type: Full Time, Permanent
• Payroll Company: Spruce Infotech Pvt Ltd
• Work Location: Hyderabad / Gurgaon / Noida (Infosys Client Office)

How to Apply

If interested and available to join within 14 days, please send your updated CV directly with PAN Number to:

Email: [email removed]

Subject Line: Application for AWS Data Engineer - [Your Current Location] - [Notice Period] - Pan Number