Senior Snowflake Developer

Freshersworld; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Freshersworld in Bengaluru is seeking a senior Data Engineer to design, develop and maintain scalable data pipelines on Snowflake with AWS. The role focuses on building ingestion and transformation pipelines, optimizing queries, ensuring data quality, and collaborating with data architects, BI developers, analysts, and application teams.

You will implement ETL/ELT processes, work with S3, Lambda, Glue, and CloudWatch, and leverage Python for automated data workflows, with a strong emphasis on

Qualifications

• 10+ years of experience in Data Engineering.
• Strong hands-on experience with Snowflake.
• Strong proficiency in SQL and data transformation.
• Good hands-on experience with AWS cloud services.
• Experience with AWS S3, AWS Glue, Lambda, and/or related AWS data services.
• Strong programming/scripting experience in Python.
• Experience developing ETL/ELT data pipelines.
• Good understanding of data warehousing concepts, dimensional modeling, and data integration.
• Experience with performance tuning and optimization in Snowflake.
• Good understanding of data quality, validation, and reconciliation processes.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
• Develop and optimize data solutions using Snowflake and AWS cloud services.
• Build data ingestion and transformation pipelines from multiple structured and unstructured sources.
• Develop complex SQL queries, stored procedures, views, and data transformations.
• Implement data loading, cleansing, validation, and reconciliation processes in Snowflake.
• Work with AWS services such as S3, Lambda, Glue, and CloudWatch.
• Develop and maintain automated data pipelines using Python and/or relevant ETL tools.
• Optimize Snowflake queries, warehouse usage, and data models for performance and cost efficiency.
• Implement data quality, monitoring, error handling, and troubleshooting mechanisms.
• Collaborate with Data Architects, BI Developers, Analysts, and application teams.
• Participate in code reviews, testing, deployment, and production support.
• Follow data security, governance, and compliance standards.

Skills

Data engineering experience

SQL data transformations

Python scripting

ETL/ELT pipelines

Data warehousing concepts

Performance optimization

Data quality and validation

Tools

Snowflake

AWS Cloud

AWS S3

AWS Glue

Lambda

Job description

Role Overview

We are looking for an experienced Data Engineer with strong expertise in Snowflake, AWS, SQL, and data engineering to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The candidate will work with cross-functional teams to build reliable and high-performance data platforms supporting business and analytics requirements.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
• Develop and optimize data solutions using Snowflake and AWS cloud services.
• Build data ingestion and transformation pipelines from multiple structured and unstructured sources.
• Develop complex SQL queries, stored procedures, views, and data transformations.
• Implement data loading, cleansing, validation, and reconciliation processes in Snowflake.
• Work with AWS services such as S3, Lambda, Glue, and CloudWatch.
• Develop and maintain automated data pipelines using Python and/or relevant ETL tools.
• Optimize Snowflake queries, warehouse usage, and data models for performance and cost efficiency.
• Implement data quality, monitoring, error handling, and troubleshooting mechanisms.
• Collaborate with Data Architects, BI Developers, Analysts, and application teams.
• Participate in code reviews, testing, deployment, and production support.
• Follow data security, governance, and compliance standards.

Mandatory Skills

• 10+ years of experience in Data Engineering.
• Strong hands-on experience with Snowflake.
• Strong proficiency in SQL and data transformation.
• Good hands-on experience with AWS cloud services.
• Experience with AWS S3, AWS Glue, Lambda, and/or related AWS data services.
• Strong programming/scripting experience in Python.
• Experience developing ETL/ELT data pipelines.
• Good understanding of data warehousing concepts, dimensional modeling, and data integration.
• Experience with performance tuning and optimization in Snowflake.
• Good understanding of data quality, validation, and reconciliation processes.