Data Engineer

2 weeks ago

India Canopus Infosystems - A CMMI Level 3 Company Full time

Job Title: Data Engineer (Analyst) Experience: 2+ Years Location: Remote About the Role: We are looking for an experienced Data Engineer (Analyst) who can design, build, and optimize data models and pipelines to support business intelligence and performance analytics. The ideal candidate should have a strong understanding of SQL, cloud data warehouses (preferably Snowflake), and hands-on experience with advertising or marketing data. Key Responsibilities: - Design, build, and maintain scalable data pipelines and analytical models for advertising events such as impressions, clicks, and conversions. - Analyze programmatic advertising data across multiple platforms (DSPs, ad exchanges, social networks). - Support campaign performance analysis and provide data-driven insights to optimize marketing effectiveness. - Conduct A/B testing and experimental analysis to evaluate campaign performance and creative strategies. - Track and interpret user behavior data using tools like Heap, Google Analytics, or similar platforms. - Develop and optimize SQL queries and manage ETL/ELT workflows in Snowflake or similar cloud data environments. - Collaborate with business stakeholders, product managers, and data teams to define key metrics, KPIs, and reporting requirements. - Build interactive dashboards and reports using BI tools such as Power BI, Tableau, Looker, or Sigma. - Ensure data quality, consistency, and governance across analytics datasets. Required Skills: - Strong proficiency in SQL (joins, CTEs, window functions, aggregations, and query optimization). - Hands-on experience with Snowflake or other cloud data warehouses. - Solid understanding of programmatic advertising data (impressions, clicks, CTR, CPM, conversions, ROAS, etc.). - Experience with A/B testing frameworks and conversion rate analysis. - Familiarity with Heap, Google Analytics, or similar behavioral analytics tools. - Practical experience with BI tools such as Power BI, Tableau, Looker, or Sigma. - Strong analytical, problem-solving, and data storytelling skills. - Knowledge of ETL/ELT processes, data governance, and data quality management.

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