Python Developer

Gemini Solutions; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Gemini Solutions is seeking a highly motivated Python Data Engineer with 4+ years of experience to design, develop, and optimize scalable data solutions. The role focuses on Python, Pandas, AWS, Snowflake, and SQL to build robust ETL/ELT pipelines and enable data-driven decision-making across the organization.

The candidate will transform and analyze complex datasets using Pandas, manage cloud-based data platforms, ensure data quality, reliability, and performance, and work with REST APIs and

Qualifications

• Design, develop, and maintain scalable data pipelines using Python.
• Build and optimize ETL/ELT workflows for efficient data movement and transformation.
• Utilize Pandas for data wrangling, transformation, profiling, and analytical processing.
• Manage and optimize data storage solutions using Snowflake.
• Create automated reports and data insights using Pandas, Matplotlib, and Plotly.
• Ensure data quality, integrity, governance, and performance across all data platforms.
• Collaborate with business stakeholders, analysts, and engineering teams to deliver data requirements.
• Implement best practices for code quality, testing, version control, and deployment.
• Leverage GenAI tools such as GitHub Copilot to improve development productivity and code quality.
• Troubleshoot and debug application issues to ensure smooth functionality.

Responsibilities

• 4+ years of experience in Python Data Engineering.
• Strong proficiency in Python and data processing libraries such as Pandas, NumPy, and related data engineering tools.
• Extensive experience using Pandas for data cleansing, transformation, aggregation, data validation, and large-scale dataset processing.
• Hands-on experience in building and maintaining ETL/ELT pipelines.
• Strong understanding of AWS Cloud Services for data engineering solutions.
• Experience with Snowflake for data warehousing, database management, and performance optimization.
• Proficiency in SQL and data modeling concepts.
• Experience working with structured, semi-structured, and large-volume datasets.
• Knowledge of REST APIs and data integration from multiple sources.
• Experience with reporting and visualization libraries such as Pandas, Matplotlib, and Plotly.
• Strong understanding of version control systems, especially Git.
• Familiarity with CI/CD pipelines and software development best practices.

Skills

Python

Pandas

AWS

Snowflake

SQL

ETL/ELT pipelines

NumPy

REST APIs

Git

CI/CD

Tools

Matplotlib

Plotly

Job description

• We are seeking a highly motivated Python Data Engineer with 4+ years of experience in designing, developing, and optimizing scalable data solutions. The ideal candidate will have strong expertise in Python, Pandas, AWS, Snowflake, and SQL, with hands-on experience in building robust ETL/ELT pipelines, processing large datasets, and enabling data-driven decision-making across the organization. The role involves developing efficient data workflows, transforming and analyzing complex datasets using Pandas, managing cloud-based data platforms, and ensuring data quality, reliability.

POSITION RESPONSIBILITIES

• • 4+ years of experience in Python Data Engineering.
• • Strong proficiency in Python and data processing libraries such as Pandas, NumPy, and related data engineering tools.
• • Extensive experience using Pandas for data cleansing, transformation, aggregation, data validation, and large-scale dataset processing.
• • Hands-on experience in building and maintaining ETL/ELT pipelines.
• • Strong understanding of AWS Cloud Services for data engineering solutions.
• • Experience with Snowflake for data warehousing, database management, and performance optimization.
• • Proficiency in SQL and data modeling concepts.
• • Experience working with structured, semi-structured, and large-volume datasets.
• • Knowledge of REST APIs and data integration from multiple sources.
• • Experience with reporting and visualization libraries such as Pandas, Matplotlib, and Plotly.
• • Strong understanding of version control systems, especially Git.
• • Familiarity with CI/CD pipelines and software development best practices.

EXPERIENCE AND REQUIRED SKILL SETS

• • Design, develop, and maintain scalable data pipelines using Python.
• • Build and optimize ETL/ELT workflows for efficient data movement and transformation.
• • Utilize Pandas extensively for data wrangling, transformation, profiling, and analytical processing.
• • Manage and optimize data storage solutions using Snowflake.
• • Create automated reports and data insights using Pandas, Matplotlib, and Plotly.
• • Ensure data quality, integrity, governance, and performance across all data platforms.
• • Collaborate with business stakeholders, analysts, and engineering teams to understand and deliver data requirements.
• • Implement best practices for code quality, testing, version control, and deployment.
• • Leverage GenAI tools such as GitHub Copilot to improve development productivity and code quality.
• • Troubleshoot and debug application issues to ensure smooth functionality.