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 in office 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 protected]

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

📌 AWS Data Engineer (PySpark) | Infosys Client | 14 Days Joiner (Noida)
🏢 Spruce InfoTech
📍 Noida