Software Engineer – AWS Glue Job

YASH Technologies

. Analyze, understand, and enhance existing data engineering frameworks and architectures .

Posted 10/31/2026full-timePune • IndiaJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing scalable ETL/ELT pipelines and Snowflake solutions, leveraging AWS services for cloud-native data solutions. Proficient in Python-based frameworks for data ingestion, transformation, and automation while ensuring data quality and compliance.

Highest-signal resume keywords

Snowflake DevelopmentAWS ServicesPython Framework DevelopmentETL/ELT Pipeline DesignData Quality and Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT Pipeline DevelopmentSnowflake SolutionsPython ProgrammingData Engineering FrameworksData TransformationData OrchestrationData AutomationData GovernanceData Quality ManagementTroubleshooting Production Issues

Soft Skills

Collaboration with StakeholdersKnowledge SharingTechnical Documentation

Tools & Technologies

AWSSnowflakePython

Industry Keywords

Data EngineeringData Lifecycle ManagementCloud-Native SolutionsData Compliance Standards

Tech Stack

Tools & technologies

AWSCloudETLPythonSnowflake

About the role

Key responsibilities & impact

Analyze, understand, and enhance existing data engineering frameworks and architectures
Design, develop, and maintain scalable ETL/ELT pipelines
Develop Snowflake solutions, including stored procedures
Leverage AWS services to build and optimize cloud-native data solutions
Develop and maintain Python-based frameworks for data ingestion, transformation, orchestration, and automation
Modernize legacy data platforms with scalable, secure, and high-performance solutions
Gather requirements and deliver data solutions with architects, business stakeholders, and engineering teams
Optimize data workflows for performance, reliability, and cost efficiency
Maintain data quality, governance, and compliance throughout the data lifecycle
Troubleshoot production issues and resolve critical data-process problems
Contribute to technical documentation, best practices, and knowledge-sharing initiatives

Requirements

What you’ll need

1.5–4 years of experience
1+ year of hands-on experience in Snowflake development, including stored procedures
Experience with AWS services
Experience developing Python-based frameworks for data ingestion, transformation, orchestration, and automation
Experience designing, developing, and maintaining scalable ETL/ELT pipelines
Knowledge of data engineering frameworks and architectures
Ability to build scalable, secure, and high-performance data solutions
Ability to collaborate with architects, business stakeholders, and engineering teams
Knowledge of data quality, governance, and compliance standards
Ability to troubleshoot production issues
Ability to contribute to technical documentation, best practices, and knowledge-sharing initiatives

Benefits

Comp & perks

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