Python Pyspark Developer

Job Description:

Location : Dmart (AVENUE E COMMERCE LIMITED)  Delphi Building , Hiranandani Garden , Powai.
Exp: 4-5+ Years 
(includes 7% of variable)  

Work Mode- WFO all 5 days.
Notice period: Immediate Joiners to 15 days max

MUST Skills: Python, Framework(Django/Flask), Pyspark, Kafka, Database( RDBMS /NOSQL - any is fine)
Interviews: 1st round Virtual, then F2F interview must
Education: Only BE/Btech or BCA + MCA and no education and employment overlap. No career gap(if any, not more than 3-6 months)

Job Description:
Role Overview:

We are looking for an experienced Senior Python & Spark Developer with strong expertise in Python (Django, Flask) and PySpark for large-scale data processing. The ideal candidate will be a self-starter who can independently own and deliver end-to-end tasks, while also guiding junior team members.

Key Responsibilities:

• Design, develop, and maintain scalable data-driven and event-driven applications.
• Develop backend services using Python (Django, Flask) and integrate them with distributed data processing pipelines using PySpark.
• Work independently on assigned tasks and take complete ownership from design to deployment.
• Collaborate with cross-functional teams for requirements gathering, design discussions, and delivery planning.
• Guide and mentor junior resources in coding best practices and problem-solving.
• Work with RDBMS and NoSQL databases to design and optimize storage solutions.
• Integrate applications with messaging services like Kafka and MQ for event-driven architectures.
• Ensure smooth deployments through CI/CD pipelines using Jenkins and Docker.

Core Skills & Technologies:

• Languages: Python 3
• Frameworks: Apache Spark (PySpark), Django, Flask
• Databases: PostgreSQL (RDBMS), Cassandra, MongoDB (NoSQL)
• Messaging: Kafka, MQ
• Architecture: Event-Driven, Data-Driven
• CI/CD Tools: Jenkins, Docker
• Monitoring tools: ELK, Prometheus, Grafana

Good to Have:

• Knowledge of Data Lake and Data Warehouse concepts.
• Exposure to large-scale distributed systems.
• Exposure to any of cloud provider [GCP, AWS, Azure]

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of professional software development experience.
• At least 2+ years of hands-on experience with PySpark for big data processing.
• Strong backend development experience with Django and Flask.
• Proven ability to work independently and take end-to-end ownership of tasks.
• Strong problem-solving, communication, and mentoring skills.