We are actively seeking an experienced and passionate Senior Snowflake + Python Developer to join our growing data engineering team. You will be responsible for designing, building, and optimizing scalable, high-performance data pipelines and data warehouse solutions leveraging the modern cloud capabilities of Snowflake and the flexibility of Python/PySpark.

This role requires deep technical expertise, especially in data warehousing, complex SQL, ETL concepts, and performance tuning.

Key Details :

- Detail: Specification

- Position: Snowflake + Python Developer

- Experience: 6 to 12 Years

- Interview Mode: Face-to-Face Drive (Mandatory)

- Notice Period: Immediate Joiner (Candidates with a maximum of a 15-day notice period may also be considered)

- Location: Bengaluru, Karnataka, India

Mandatory Face-to-Face Interview Drive Details :

- Detail: Specification

- Date: 25th October (Friday)

- Time: 9:30 AM to 3:00 PM

- Venue: 11th Floor, CR2, Prestige Shantiniketan, Whitefield Road, Bengaluru, Karnataka, India

Core Responsibilities :

- Data Pipeline Development: Design, develop, and maintain robust, scalable ETL/ELT pipelines for ingesting and transforming high-volume data using Python/PySpark and native Snowflake capabilities.

- Snowflake Architecture: Implement best practices for data modeling, performance optimization, security, and resource management within the Snowflake Data Cloud.

- SQL & Data Logic: Write, optimize, and manage complex stored procedures (in Snowflake SQL or Python/Snowflake Scripting), views, and functions to enforce business logic and transformations.

- Legacy Integration: Leverage skills in Oracle and PL/SQL to manage data migration and integration with existing enterprise systems.

- Automation & Scripting: Utilize Unix Shell Scripting to automate job scheduling, monitoring, file processing, and environment setup tasks.

- Performance Tuning: Proactively identify and resolve performance bottlenecks across Snowflake queries, ETL jobs, and data models to ensure efficient data delivery.

- Collaboration: Work closely with Data Architects, BI Developers, and business stakeholders to translate technical and functional requirements into efficient data solutions.

Required Technical Skills :

- Experience Benchmark: 57+ years of dedicated experience in Data Warehouse (DWH), ETL, and Business Intelligence (BI) projects.

- Snowflake Expertise: Proven hands-on experience with the Snowflake Database, including working with SnowSQL, understanding micro-partitions, virtual warehouses, roles, and resource monitors.

- Python/PySpark: Strong, demonstrable expertise in Python and/or PySpark for data processing, ETL automation, and building data transformation frameworks.

- Database Proficiency: Strong command of traditional databases, including Oracle and development experience using PL/SQL.

- Scripting: Proficiency in Unix Shell Scripting for file handling, job orchestration, and utility tasks.

- DWH & ETL Concepts: Deep understanding of modern data warehousing principles, data modeling (Star/Snowflake schema), and complex ETL methodologies.

- Troubleshooting: Exceptional ability to troubleshoot complex data flow issues, job failures, and perform performance tuning on SQL queries and ETL jobs.