Data Automation Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Automation Engineer based in India. We are looking for a technically skilled and analytical Data Automation Engineer to build, manage, and optimize end-to-end data automation systems. In this role, you will connect business and marketing platforms, streamline data flows, and transform raw information into reliable insights that support strategic decision-making. You will design automated workflows, manage ETL processes, and integrate databases and third-party tools to create scalable data solutions. Working independently, you will take ownership of technical challenges and translate business needs into practical, efficient automations. You will also leverage AI-powered development tools to improve workflows and accelerate problem-solving. This opportunity is ideal for a hands-on professional who enjoys combining data analysis, automation engineering, and client-facing communication in a dynamic digital environment.

Understand business objectives and operational challenges, then independently design, develop, and maintain end-to-end automation solutions. Analyze data from connected platforms to generate actionable insights and support informed business decisions. Build, manage, and optimize automated workflows using tools such as Zapier, Make.com, or similar automation platforms. Configure and maintain connectors and integrations between different business applications, marketing platforms, and data sources. Own the end-to-end Extract, Transform, Load (ETL) process, including extracting data, cleaning and standardizing information, and loading it into centralized databases. Use AI-powered tools, including Claude Code, to support development, troubleshoot issues, and improve data automation workflows. Maintain and enhance data infrastructure as data volumes, integration requirements, and business needs evolve. Identify inefficiencies, resolve integration issues, and continuously improve data accuracy, reliability, and workflow performance. Explain automation logic, technical decisions, and problem-solving approaches clearly to non-technical clients and stakeholders. Ensure automated systems are well organized, maintainable, and aligned with business objectives. Requirements At least 2 years of hands-on experience with automation platforms such as Zapier, Make.com, or comparable tools. Proven experience building and maintaining integrations between multiple applications using connectors, APIs, or native integration capabilities. Good working knowledge of ETL processes, including data extraction, cleaning, transformation, standardization, and loading. Demonstrated practical experience using Claude Code to support automation or development tasks. Working knowledge of databases and data platforms such as Supabase, PostgreSQL, BigQuery, or Snowflake. Basic understanding of marketing data and performance metrics, such as Google Ads and Meta Ads data. Strong analytical and problem-solving abilities, with the capacity to understand business requirements and translate them into practical technical solutions. Ability to work independently, manage automation projects end-to-end, and take ownership of troubleshooting and implementation. Clear communication skills, including the ability to explain technical workflows and data processes to non-technical clients. Attention to detail and a commitment to data quality, system reliability, and continuous improvement. Adaptability and willingness to learn new technologies and use AI-assisted tools to improve productivity. Benefits Remote work flexibility: Work remotely from India. Competitive compensation: Listed salary range of ₹5–7 lakh per year. Full-time employment: A full-time role offering opportunities to take ownership of end-to-end automation projects. Hands-on technical experience: Work with automation platforms, database technologies, data integrations, and AI-assisted development tools. Business impact: Build solutions that improve data accessibility, operational efficiency, and decision-making. Professional development: Expand your expertise in data engineering, ETL workflows, marketing analytics, and scalable automation systems. Independent ownership: Take responsibility for solving business problems and delivering practical technical solutions. Client collaboration: Develop experience communicating technical concepts and presenting solutions to non-technical stakeholders. Additional benefits: Healthcare coverage, paid leave, bonuses, and other specific perks were not detailed in the provided job description.