Data Engineer

3 weeks ago

Erode, 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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