Data Engineer - (Snowflake, Python, SQL & React)

Merkle Inc.; Bengaluru; On-site; INR 1,200,000 - 1,500,000; Full time

Job summary

Merkle Inc. in Bengaluru is seeking a data engineering professional to design, build, and optimize scalable data pipelines and data platforms. You will work with Python, SQL, Snowflake, and modern AI tools to deliver data‑driven applications and insights.

The role involves collaborating with cross‑functional teams across product and analytics, applying CI/CD practices, and mentoring junior developers in an agile environment.

Qualifications

• Bachelor’s degree in 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 ETL/ELT pipelines, Data Warehouses, and Data Lakes.
• 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.

Responsibilities

• Design, develop, and maintain scalable data engineering solutions using Python, SQL, and Snowflake.
• Build and optimize ETL/ELT pipelines for processing large-scale 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.
• Work within Agile development teams, participating in sprint planning, stand‑ups, 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 solutions.
• Implement CI/CD pipelines and DevOps practices for deployments.
• Establish and enforce coding standards, testing strategies, monitoring, and data governance.
• Mentor junior developers and provide technical leadership across projects.
• Analyze business data to generate insights for decision‑making and targeting initiatives.
• Work with Product, Analytics, AI, and Engineering teams to deliver end‑to‑end solutions.

Skills

Analytical thinking

Problem solving

Stakeholder management

Communication

Mentoring

Tools

Python

SQL

Snowflake

ETL/ELT pipelines

React

Git

CI/CD

AWS

REST APIs

AI/ML integration

Job description

About the job

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.
• 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 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.