We are looking for an experienced Python Data Engineer with solid expertise in Python, SQL, and ETL pipeline development. The ideal candidate should have hands-on experience in data extraction, transformation, cleansing, and database management, along with familiarity with AI-powered development tools such as Claude.

Key Responsibilities
Design, develop, and maintain ETL pipelines using Python and SQL.
Extract data from APIs, databases, files, and other sources.
Perform data transformation, cleansing, and processing using Python libraries.
Write and optimize complex SQL queries, views, stored procedures, and functions.
Work with SQL Server and/or Snowflake for data storage, processing, and management.
Leverage AI-powered tools such as Claude to improve productivity and support development activities.
Ensure data quality, accuracy, reliability, and performance across ETL workflows.
Collaborate with cross-functional teams to understand data requirements and deliver effective data solutions.

Required Skills and Qualifications
4–6 years of hands-on experience in Python Data Engineering.




Strong proficiency in Python and SQL.
Experience developing and maintaining ETL pipelines.
Hands-on experience extracting data from APIs, databases, files, and other sources.
Robust understanding of data transformation and cleansing using Python libraries.
Experience with SQL Server and/or Snowflake.
Proficiency in writing complex SQL queries, views, stored procedures, and functions.
Familiarity with AI-powered development tools such as Claude.
Positive communication, analytical, and problem-solving skills.

Positive to Have
Experience with Alteryx for ETL and data preparation.
Familiarity with Power BI for data visualization and reporting.

Pay: ₹400,000.00 - ₹1,200,000.00 per year

Application Question(s)
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Work Location: Hybrid remote in Noida, Uttar Pradesh

📌 Python Data Engineer Noida (India)
🏢 Ananta Services
📍 India