The Role
Designs and maintains scalable data engineering solutions using Python, SQL, and Snowflake. Builds ETL/ELT pipelines, data warehouses, data lakes, and React interfaces while integrating generative AI, LLMs, RAG, and intelligent automation. Responsibilities include Snowflake architecture, data governance, CI/CD, testing, performance optimization, stakeholder collaboration, Agile participation, business data analysis, and mentoring junior developers.
Summary Generated by Built In
Job Description:
Sr. Software Data engineer (Snowflake, Python & SQL, React)Qualifications- 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 cloud platforms such as AWS, including services like 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.
- Design, develop, and maintain scalable data engineering solutions using Python, SQL, and Snowflake.
- Build and optimize ETL/ELT pipelines for processing large-scale structured and unstructured datasets.
- Develop modern web applications and data-driven interfaces using React.
- Leverage AI/ML technologies, including Generative AI and LLM integrations, to solve business problems and improve operational efficiency.
- Work within Agile development teams, actively participating in 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 and enforce 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 cross-functional teams including Product, Analytics, AI, and Engineering to deliver end-to-end solutions.
- Strong experience in Python for data engineering, automation, API development, and backend services.
- Advanced SQL development and performance tuning expertise.
- Hands-on experience with Snowflake including:
- Tasks
- Streams
- Stored Procedures
- Snowpark
- Dynamic Tables
- Data Sharing
- Performance Optimization
- Strong understanding of Data Warehousing, ETL/ELT, Data Modeling, and Data Lake architectures.
- Experience building front-end applications using React.js, JavaScript/TypeScript, HTML, and CSS.
- Experience integrating AI solutions, including Generative AI, LLM APIs, vector databases, RAG architectures, and intelligent automation.
- Experience with REST APIs, microservices, and cloud-native application development.
- Strong knowledge of Agile methodologies, Git, CI/CD, and DevOps practices.
- Excellent communication and stakeholder management skills.
- Ability to translate business requirements into scalable technical solutions.
Location:
DGS India - Bengaluru - Manyata N1 BlockBrand:
MerkleTime Type:
Full timeContract Type:
PermanentSkills Required
- 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
- Experience designing and implementing ETL/ELT pipelines, data warehouses, and data lakes
- Experience building web applications with React.js and JavaScript or TypeScript
- Experience with Snowflake Tasks, Streams, Stored Procedures, Snowpark, and Dynamic Tables
- Understanding of data modeling, data governance, and data quality principles
- Experience with Git, CI/CD pipelines, Agile/Scrum, and automated testing frameworks
- Exposure to AWS services including S3, Lambda, Glue, ECS, or Bedrock
- Experience integrating generative AI, LLM APIs, vector databases, RAG architectures, and intelligent automation
- Experience with REST APIs, microservices, and cloud-native application development
- Strong communication, analytical, problem-solving, and stakeholder management skills
- Ability to translate business requirements into scalable technical solutions
dentsu Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.
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Parental & Family Support — Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
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Leave & Time Off Breadth — Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
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Retirement Support — A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.
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The Company
What We Do
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next
