Senior Data Engineer – SnowFlake

YASH Technologies

. Develop and maintain complex data pipelines and ETL processes in Snowflake .

Posted 10/16/2026full-timeBangalore • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining complex data pipelines and ETL processes using Snowflake and DBT, with a strong focus on SQL and Python for data manipulation and analysis. Ensures data quality and compliance while optimizing CI/CD pipelines in Azure DevOps.

Highest-signal resume keywords

Snowflake DevelopmentSQL ProficiencyPython ProgrammingCI/CD Pipeline ManagementData Modelling Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentETL ProcessesSQL QueriesPython AutomationData Vault 2.0DBT (Data Build Tool)Performance TuningData GovernanceData Security Best PracticesVersion Control with Git

Soft Skills

CollaborationProblem SolvingMentoring

Tools & Technologies

SnowflakeAzure DevOpsDBTGit

Industry Keywords

OLTPOLAPData LifecycleData IntegrityCompliance Standards

Tech Stack

Tools & technologies

AWSAzureETLPythonSQLVault

About the role

Key responsibilities & impact

Develop and maintain complex data pipelines and ETL processes in Snowflake
Write efficient and optimized SQL queries for data extraction, transformation, and loading
Utilize Python for advanced data processing, automation tasks, and system integration
Implement and oversee data modelling techniques, including OLTP, OLAP, and Data Vault 2.0
Collaborate with data architects, analysts, and stakeholders to design scalable data solutions
Manage and optimize CI/CD pipelines using Azure DevOps
Ensure data quality, integrity, and compliance throughout the data lifecycle
Troubleshoot, optimize, and enhance data processes and queries for performance improvements
Document data models, processes, and workflows
Implement Snowflake performance tuning techniques
Develop and maintain DBT models, macros, and tests
Manage version control using Git repositories
Design, implement, and maintain automated CI/CD pipelines for Snowflake and DBT deployments
Impact the effectiveness of the work team through timely, high-quality work
Work within standardized procedures to meet objectives and deadlines, with discretion in problem solving

Requirements

What you’ll need

5–12 years of experience required
Bachelor's/master's degree in computer science, Information Technology, or a related field
Minimum of 5 years of proven experience as a Snowflake Developer or in a similar data engineering role
Extensive hands-on experience with SQL and Python, demonstrating proficiency in data manipulation and analysis
Significant industry experience working with DBT (Data Build Tool) for data transformation
Strong familiarity with CI/CD pipelines, preferably in Azure DevOps
Deep understanding of data modelling techniques, including OLTP and OLAP, and best practices
Experience with large datasets and performance tuning in Snowflake preferred
Familiarity with data governance, data security best practices, and compliance standards preferred
Knowledge of additional data technologies such as AWS and Azure is a plus
Experience leading projects or mentoring junior developers is advantageous

Benefits

Comp & perks

Flexible work arrangements
Stable employment
Inclusive team environment
Career-oriented skilling models
Continuous learning, unlearning, and relearning
Support needed for realization of business goals
Great atmosphere and ethical corporate culture