Job Description
Python and PySpark, No SQL Developer
Must Have Technical/Functional Skills
- 7+ years of software or data engineering experience.
- Strong programming experience with Python (Pandas, NumPy preferred).
- Hands-on experience with PySpark for distributed data processing.
- Deep expertise with MongoDB (NoSQL operations, pipelines, indexing strategies).
- Strong proficiency in SQL with the ability to write complex queries and optimize performance.
- Experience working with large datasets and scalable big data pipelines.
- Familiarity with cloud platforms (AWS/Azure/GCP) is an advantage.
- Strong analytical and problem solving skills.
- Excellent communication and teamwork capabilities.
Roles & Responsibilities
- Develop and maintain data pipelines using Python and PySpark.
- Design and optimize ETL processes for large-scale data workflows.
- Work extensively with MongoDB for schema design, querying, indexing, and data modeling.
- Write complex SQL queries, stored procedures, and performance-tuned datasets.
- Collaborate with data engineers, analysts, and business teams to understand requirements.
- Ensure data quality, consistency, and governance throughout the development lifecycle.
- Troubleshoot and resolve performance issues across Python, Spark, and database layers.
- Participate in Agile ceremonies and contribute to solution architecture discussions.
Generic Managerial Skills, If any
Knowledge of CI/CD tools (Git, Jenkins, Azure DevOps).
Experience with data lakes, Delta Lake, or Lakehouse architectures.
Exposure to containerization (Docker, Kubernetes).
Salary Range- $115,000-$125,000 a year
Qualifications: BACHELOR OF COMPUTER SCIENCE
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