About this role
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. • 4+ 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. Key Responsibilities
• 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. Required Skills
• 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 Block Brand: Merkle Time Type: Full time Contract Type: Permanent