Data Engineer

dentsu Austria

. Design, develop, and maintain scalable data engineering solutions using Python, SQL, and Snowflake .

Posted 9/29/2026full-timeBengaluru • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable data engineering solutions using Python, SQL, and Snowflake, while leveraging modern web technologies like React. Proven ability to implement ETL/ELT pipelines and apply data governance principles to deliver data-driven insights and solutions.

Highest-signal resume keywords

Python DevelopmentSQL ProficiencySnowflake ArchitectureETL/ELT Pipeline DesignGenerative AI Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ModelingData GovernanceData QualityWeb Application DevelopmentAgile MethodologiesCI/CD ImplementationAutomated TestingREST APIsMicroservices

Soft Skills

Analytical SkillsProblem-SolvingStakeholder ManagementCommunication Skills

Tools & Technologies

SnowflakeReact.jsAWSGitJavaScriptTypeScriptAI AgentsCloud-Native DevelopmentData LakesData Warehouses

Industry Keywords

Data Engineering SolutionsETL/ELT PipelinesData-Driven InterfacesAgile Sprint PlanningPerformance Optimization

Tech Stack

Tools & technologies

AWSCloudETLJavaScriptMicroservicesPythonReactSQLTypeScript

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data engineering solutions using Python, SQL, and Snowflake
Build and optimize ETL/ELT pipelines for large-scale structured and unstructured datasets
Develop modern web applications and data-driven interfaces using React
Leverage Generative AI and LLM integrations to solve business problems and improve operational efficiency
Participate in Agile sprint planning, stand-ups, retrospectives, and code reviews
Design and implement Snowflake data architectures, including Tasks, Streams, Dynamic Tables, and performance optimization
Collaborate with business stakeholders to understand requirements and deliver scalable, data-driven solutions
Implement CI/CD pipelines and DevOps best practices for application and data platform deployments
Establish coding standards, testing strategies, monitoring, and data governance practices
Mentor junior developers and provide technical leadership across projects
Analyze business and customer data to generate insights for decision-making and audience targeting initiatives
Work with Product, Analytics, AI, and Engineering teams to deliver end-to-end solutions

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related technical field
5+ years of experience in Software Development, Data Engineering, or Data Platform Development
Strong proficiency in Python, SQL, and Snowflake development
Hands-on experience designing and implementing ETL/ELT pipelines, Data Warehouses, and Data Lakes
Experience building modern web applications using React.js and JavaScript/TypeScript
Working knowledge of Generative AI, LLMs, RAG architectures, AI agents, and AI-powered application development
Experience with Snowflake Tasks, Streams, Stored Procedures, Snowpark, and Dynamic Tables
Strong understanding of Data Modeling, Data Governance, and Data Quality principles
Experience with Git, CI/CD pipelines, Agile/Scrum methodologies, and automated testing frameworks
Exposure to AWS, including S3, Lambda, Glue, ECS, or Bedrock
Excellent analytical, problem-solving, and stakeholder management skills
Strong verbal and written communication skills with the ability to work effectively across cross-functional teams
Experience with REST APIs, microservices, and cloud-native application development
Ability to translate business requirements into scalable technical solutions