Senior Software Engineer – ETL, Snowflake

YASH Technologies

. Develop and maintain ETL/ELT pipelines for data integration and transformation .

Posted 10/22/2026full-timePune • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining ETL/ELT pipelines, optimizing data warehouse solutions using Snowflake, and writing complex SQL queries. Proficient in data engineering best practices, ensuring data quality and performance across various cloud platforms.

Highest-signal resume keywords

ETL/ELT Pipeline DevelopmentSQL Development and OptimizationSnowflake Data Warehouse SolutionsMicrosoft Fabric ExperienceData Engineering Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLETLELTData WarehousingData ModelingPerformance TuningData ValidationDAXData TransformationSource-to-Target Mapping

Soft Skills

CollaborationTroubleshooting

Tools & Technologies

SnowflakeMicrosoft FabricAzure Data FactoryPower BICloud Platforms

Industry Keywords

Star SchemaSnowflake SchemaSCD FrameworksData QualityData Reliability

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact

Develop and maintain ETL/ELT pipelines for data integration and transformation
Design and optimize data warehouse solutions using Snowflake
Write and tune complex SQL queries, stored procedures, and data transformations
Implement data models, fact/dimension tables, and SCD frameworks
Ensure data quality, reliability, and performance across data platforms
Collaborate with business and technical teams to deliver scalable data solutions
Troubleshoot production issues and optimize ETL workflows

Requirements

What you’ll need

4+ years of experience
Strong SQL development and query optimization experience with SQL Server and Snowflake
Hands-on experience with Snowflake and cloud data platforms
Solid understanding of data warehousing concepts, including Star Schema, Snowflake Schema, and SCD
Experience building scalable ETL/ELT pipelines
Strong knowledge of data engineering best practices and performance tuning
Experience with source-to-target mapping and data validation
Experience with Microsoft Fabric, including Data Factory, Lakehouse, Data Warehouse, Notebooks, Pipelines, and OneLake
Experience developing and optimizing Power BI dashboards, semantic models, DAX measures, and reports
Knowledge of Fabric-Snowflake integration and modern analytics architectures
Experience with ETL/ELT tools such as Azure Data Factory (ADF)
Exposure to Azure, AWS, or GCP cloud platforms

Benefits

Comp & perks

Flexible work arrangements
Free spirit and emotional positivity
Agile self-determination, trust, transparency, and open collaboration
All support needed for the realization of business goals
Stable employment with a great atmosphere and ethical corporate culture
Continuous learning, unlearning, and relearning through career-oriented skilling models