Python Data Engineer

Key Responsibilities:

• Design, develop, and maintain scalable ETL pipelines and data integration workflows.
• Build and optimize data warehouses and data lake architectures to support analytics and business intelligence.
• Develop clean, reusable, and efficient Python scripts for data extraction, transformation, and loading.
• Work closely with data analysts and stakeholders to ensure data accuracy, consistency, and reliability.
• Implement data validation, error handling, and monitoring frameworks.
• Collaborate with cross-functional teams to integrate data from multiple sources and cloud platforms.
• Optimize SQL queries and database performance for high-volume datasets.
• Ensure data governance and security standards are maintained.

Required Skills & Experience:

• 5+ years of experience as a Data Engineer or similar role.
• Strong proficiency in Python and related data libraries (Pandas, PySpark, etc.).
• Hands-on experience with ETL tools and frameworks.
• Excellent understanding of SQL and relational databases.
• Experience with data warehousing concepts and technologies (Snowflake, Redshift, BigQuery, etc.).
• Working knowledge of Cloud Platforms (AWS, Azure, or GCP).
• Familiarity with CI/CD pipelines and version control (Git).
• Strong problem-solving and debugging skills.

Preferred Qualifications:

• Experience with streaming data frameworks (Kafka, Spark Streaming, etc.).
• Exposure to data governance, quality, and lineage tools.
• Knowledge of API integrations and RESTful services.

Why Join Aarvy Technologies?

• Work with a dynamic and growing IT team.
• Opportunity to work on challenging, data-driven projects.
• Flexible and collaborative work environment.

Job Types: Full-time, Permanent

Pay: ₹50,000.00 - ₹70,000.00 per month

Work Location: In person