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.
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:
Permanentdentsu Mumbai, Maharashtra, IND Office
Mumbai, India
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