Python+ Pyspark+ AWS Developer

Job Description

Job Title: Software/Data Engineer – Python, PySpark, AWS Experience Required: Total Experience:

8–10 Years

• Relevant Experience in

Python and PySpark :

6–8 Years

• Strong understanding of AWS Cloud Services, SQL, MongoDB, Kafka, and ETL processes.
• Candidate should possess

strong Python coding skills and good hands-on experience in Core ETL Functionalities

Location: PAN India (Any Infosys Development Center)

Mandatory Skills:

• PySpark
• Python
• AWS Cloud Services
• SQL
• MongoDB
• Kafka
• Core ETL Functionalities

Role Overview The candidate will be responsible for designing, developing, and maintaining scalable data engineering solutions using PySpark and Python. The role requires hands-on experience with AWS cloud services, database technologies, messaging platforms, and ETL processes to support enterprise-scale data integration and analytics initiatives.

Key Responsibilities:

• Develop and maintain data pipelines using

PySpark and

Python .

• Design and implement scalable data processing solutions on

AWS Cloud Services .

• Work with

SQL and

MongoDB for data storage, retrieval, and optimization.

• Integrate and manage real-time data processing using

Kafka .

• Develop and support

Core ETL functionalities for data ingestion, transformation, and loading.

• Collaborate with cross-functional teams to deliver high-quality data engineering solutions.
• Troubleshoot, optimize, and enhance existing data processing workflows.

Share your updated CV at shyam.sharma@truelancer.com