Python Pyspark Databricks AWS Developer

Job Title: Python Pyspark Developer
Experience: 5- 8 Years
Category: Software Development/ Engineering
Shift: General
Main location: Hyderabad, Bangalore, Chennai
Employment Type: Full Time
Education Qualification: Bachelor’s degree in Computer Science or related field or higher with minimum 4 years of relevant experience.

Position Description: We are looking for a highly skilled Data Engineer with strong expertise in Python, PySpark, and AWS cloud services. The ideal candidate will design, develop, and maintain scalable data pipelines while ensuring seamless data integration and transformation across systems.

Your future duties and responsibilities
• Design and implement ETL pipelines using PySpark and AWS Glue.
• Develop and optimize data processing frameworks on large-scale datasets.
• Work extensively with AWS services such as Glue, Lambda, ECS, S3, DynamoDB, and CloudWatch.
• Build and maintain data ingestion and transformation workflows.
• Develop and manage Python-based automation and data transformation scripts.
• Collaborate with cross-functional teams to ensure data availability, quality, and performance.
• (Good to have) Develop and integrate RESTful APIs for data access and service communication.
• Troubleshoot and optimize data solutions for performance and cost efficiency.

Required qualifications to be successful in this role
Must-Have Skills:
• Around 5 years of experience in Python, API & Databricks
• Possess development experience in Python programming.
• Proficient in SQL and have to nice NoSQL(MongoDB/MongoDB Atlas).
• Hands on experience with API services
• Hands on experience with Databricks
• Familiarity with DevOps practices and CI/CD pipelines.
• CI/CD, Jenkins, Deployment (process oriented)Production failures and how you debug and document them
• Strong problem solving and debugging skills.
• Excellent communication and collaboration skills, effectively engaging with team members and stakeholders.
• Experience with the Agile framework.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.

Good-to-Have Skills:
• Knowledge of data lake and data warehouse architecture.
• Basic knowledge of Docker and Kubernetes. Role & responsibilities

Preferred candidate profile