Data Engineer

3 days ago

bangalore, 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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