You'll make a difference by:

- Providing technical support to teams adopting analytics platforms such as Adobe Analytics, Hotjar, and Moesif.
- Validating analytics implementations and troubleshooting tracking, integration, and data-quality issues.
- Integrating and processing analytics data through REST APIs.
- Developing complex SQL queries and working with Snowflake data platforms.
- Designing, developing, and maintaining Power BI dashboards, reports, and semantic models.
- Translating product measurement requirements into meaningful metrics, data models, and reporting solutions.
- Integrating data from multiple analytics and product sources to generate actionable business insights.
- Monitoring and improving data quality, reliability, and consistency across reporting systems.
- Collaborating with cross-functional teams to enable data-driven product and business decisions.
- Contributing to scalable analytics and reporting solutions aligned with Building X objectives.

You'll win us over by:

- Holding a Bachelor's or Master's degree in Computer Science, Information Technology, Electronics, Data Science, or a related engineering discipline.
- Bringing strong experience in data analytics, reporting, and software development.
- Demonstrating hands-on expertise in SQL and Snowflake.
- Possessing strong knowledge of Power BI, data modeling,



and data visualization best practices.
- Having experience integrating and supporting usage-tracking and analytics solutions such as Adobe Analytics, Hotjar, Moesif, or similar platforms.
- Being proficient in JavaScript and/or TypeScript development.
- Having practical experience working with REST APIs and data integrations.
- Understanding analytics instrumentation, event tracking, and product measurement frameworks.
- Being experienced with Git-based development workflows and CI/CD practices.
- Demonstrating robust troubleshooting, problem-solving, and software engineering capabilities.

Nice to Have

- Experience with the Google HEART framework for product analytics.
- Python programming skills.
- Experience in Cloud and SaaS-based application development.
- Knowledge of API monitoring, observability, and operational analytics.
- Exposure to modern data engineering and analytics best practices.

Role: Data Engineer, Industry Type: Industrial Automation, Department: Engineering - Software & QA, Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate read more

Key Skills Skills highlighted with ‘‘ are preferred keyskills Data EngineeringSnowflake SQL SnowflakeScripting

📌 Senior Data Engineer (Pune)
🏢 Siemens
📍 Pune