Senior BI Engineer

🔥 2 hours ago

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Cint

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

💼 Consulting

📣 Marketing

💰 Venture Round on 2016-01

Consulting • Marketing • Market Research

Cint is a leading global technology platform that provides a comprehensive marketplace for market research. The company operates the world's largest programmatic research marketplace, known as the Cint Exchange, which connects surveys with millions of respondents across 130 countries. Cint offers services such as media measurement and audience monetization, leveraging powerful technology to provide insights-driven companies with actionable data. With a focus on quality and trust, Cint uses advanced AI and machine learning tools to ensure the integrity and accuracy of the data collected. It serves a wide range of industries by offering tools for measuring the impact of advertising, conducting brand lift studies, and optimizing marketing strategies in real time. Cint is trusted by thousands of companies for its innovative approach to connecting businesses with the right survey participants efficiently and effectively.

📋 Description

• Design, build, and maintain scalable automated ETL/ELT data pipelines and data models • Develop sophisticated dashboards and reporting tools for executive insights and analyst deep dives • Establish and enforce data documentation, metadata management, and data quality assurance practices • Audit and optimize SQL queries and dashboard performance for low-latency access to large datasets • Consult with non-technical departments to define KPIs and translate business questions into technical requirements • Lead code reviews and mentor junior engineers on data modeling and visualization best practices

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Statistics, or a related quantitative field • 5+ years of experience in BI engineering, data engineering, or a highly technical analytics role • Practical experience integrating data from multiple disparate systems into unified, high-integrity data models • Deep practical experience with data warehousing principles • Proven experience with cloud data warehouses such as Databricks, Snowflake, or BigQuery; preferably Databricks • Strong understanding of dimensional modeling, including Star and Snowflake schemas • Experience with modern data stack tools such as dbt • Expert-level SQL skills, including complex joins, window functions, and performance tuning • Deep expertise in at least one enterprise BI platform such as Tableau, Power BI, Looker, or Sigma; preferably Omni and Power BI • Analytical and creative design skills, with ability to translate complex solutions and system designs into clear narratives • Ability to work in a team-oriented, fast-paced environment while managing multiple concurrent projects and shifting priorities • Preferred: Git and CI/CD workflows • Preferred: Agile/Scrum experience • Preferred: experience working in a global team • Preferred: experience working 100% remote • Preferred: ResTech industry experience • Preferred: Salesforce experience • Preferred: statistical analysis and machine learning concepts

🏖️ Benefits

• Remote work • Employee growth and development culture • Diversity, equity and inclusion • Global team environment