Data Engineer

Merkle Italia; India; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Merkle Italia is seeking a Sr. Software Data Engineer in India to design, build, and optimize data pipelines using Python, SQL, and Snowflake. You will develop data-driven web interfaces with React and collaborate across AI, Analytics, and Engineering teams.

The role requires hands-on experience with Snowflake Tasks/Streams/Snowpark, data modeling, and CI/CD practices within Agile teams. Strong communication and problem-solving skills are essential.

Qualifications

• Bachelor's degree in CS/IT/SE/Data Science or related field.
• 5+ years of experience in Software Development, Data Engineering, or Data Platform Development.
• Strong proficiency in Python, SQL, and Snowflake development.
• Experience designing ETL/ELT pipelines, Data Warehouses, and Data Lakes.

Responsibilities

• Design, develop, and maintain scalable data engineering solutions using Python, SQL, and Snowflake.
• Build and optimize ETL/ELT pipelines for large-scale datasets.
• Develop modern web applications and data-driven interfaces using React.
• Leverage AI/ML technologies, including Generative AI and LLM integrations, for business problems.

Skills

Python

SQL

Snowflake

React.js

Snowflake Tasks

Snowflake Streams

Snowpark

ETL/ELT

Data Warehousing

Git

CI/CD

Agile/Scrum

AI/LLMs

Education

Bachelor's degree in Computer Science or related field

Tools

Git

Job description

**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.## **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.