Python Developer

Job Summary:

Key Responsibilities:

• Develop, optimize, and maintain data pipelines using Python.
• Work with large datasets and ensure efficient extraction, transformation, and loading (ETL).
• Integrate data from various internal and external sources.
• Build reusable Python modules and automation scripts.
• Work closely with data engineers, analysts, and stakeholders to understand requirements.
• Optimize performance of data processes and troubleshoot issues.
• Ensure data quality, validation, and integrity across systems.
• Deploy and monitor data workflows in production environments.

Technical Skills Required:

• Strong hands-on experience in

  Python

  (Pandas, NumPy, PySpark preferred).
• Experience with

  ETL development

  and building data pipelines.
• Good understanding of

  SQL

  , complex queries, and stored procedures.
• Experience with

  databases

  (PostgreSQL, MySQL, MongoDB, or similar).
• Exposure to

  big data frameworks

  (Spark/Hadoop) is a strong advantage.
• Experience with

  cloud platforms

  (AWS/Azure/GCP) for data services.
• Familiarity with

  API integrations

  , automation, and scheduling tools (Airflow, Cron).
• Knowledge of

  version control (Git)

  and CI/CD practices.

Preferred Qualifications:

• Advanced experience with Python libraries used in data workflows (Pandas, NumPy, PySpark, FastAPI/Flask for data services).
• Hands-on experience with data warehousing concepts and building scalable data models.
• Practical understanding of ML model pipelines and supporting data science teams with clean, production-ready datasets.
• Experience working with workflow orchestration tools (Airflow, Prefect, Luigi).
• Familiarity with containerization and deployment (Docker/Kubernetes) for data applications.
• Strong understanding of cloud-based data services (AWS Glue, Redshift, Azure Data Factory, BigQuery).
• Bachelor s degree in Computer Science, Engineering, or a related technical field.