Data Engineer

7 days ago

Delhi, India Canopus Infosystems - A CMMI Level 3 Company Full time

Job Title: Data Engineer (Analyst)Experience: 2+ YearsLocation: RemoteAbout 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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