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Data Engineer

Merkle
Bengaluru, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 weeks ago
PythonSQLSnowflakeReactJavaScriptTypeScript

Full Job Posting

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
  • 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.

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