Python Developer

Key Responsibilities:

• Design and develop scalable ETL pipelines using Python, PySpark, and Azure Data Factory.

• Build Azure Functions for automation, event-driven tasks, and integration workflows.

• Optimize SQL and PySpark jobs for performance and cost efficiency.

• Manage and orchestrate data pipelines across Synapse, Data Lake, and Blob Storage.

• Implement RBAC, data encryption, and governance policies to ensure compliance.

• Collaborate with DevOps teams to deploy CI/CD pipelines for data engineering solutions.

• Work closely with cross-functional teams to translate business requirements into technical designs.

• Maintain technical documentation, architecture diagrams, and testing frameworks.

Technical Skills Required:

• Programming: Python (Advanced), PySpark, SQL

• Azure Cloud: Azure Functions, Synapse Analytics, Data Factory, Data Lake, Blob Storage

• ETL Tools: Azure Data Factory, Databricks (preferred), or custom Python ETL

• Databases: Azure SQL, PostgreSQL, or equivalent RDBMS

• Version Control & CI/CD: Git, GitHub, Azure DevOps, YAML pipelines

• Data Architecture: Data Modeling, Data Warehousing, Governance

• Monitoring: Azure Monitor, Application Insights, Log Analytics

Soft Skills:

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration in remote teams.

• Adaptable to fast-paced Agile environments.

Preferred Qualifications:

• Microsoft Certified: Azure Data Engineer Associate (or equivalent).

• Experience with Power BI / Tableau visualization tools.

• Familiarity with REST APIs, JSON, and AI/ML data pipelines.

Why Join Us:

• Remote-first culture with flexible work hours.

• Exposure to global-scale AI and Data Automation projects.

• Collaborative, innovation-driven environment.

• Continuous upskilling through enterprise-level engagements.