Data Engineer

1 day ago

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

Job Title:Data Engineer (Analyst)Experience:2+ Years Location:RemoteAbout the Role:We are looking for an experiencedData 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 scalabledata pipelines and analytical modelsfor advertising events such as impressions, clicks, and conversions. Analyzeprogrammatic advertising dataacross multiple platforms (DSPs, ad exchanges, social networks). Supportcampaign performance analysisand provide data-driven insights to optimize marketing effectiveness. ConductA/B testing and experimental analysisto evaluate campaign performance and creative strategies. Track and interpretuser behavior datausing tools like Heap, Google Analytics, or similar platforms. Develop and optimizeSQL queriesand manageETL/ELT workflowsin Snowflake or similar cloud data environments. Collaborate with business stakeholders, product managers, and data teams to definekey metrics, KPIs, and reporting requirements. Buildinteractive dashboards and reportsusing BI tools such as Power BI, Tableau, Looker, or Sigma. Ensuredata quality, consistency, and governanceacross analytics datasets.Required Skills: Strong proficiency inSQL(joins, CTEs, window functions, aggregations, and query optimization). Hands-on experience withSnowflakeor othercloud data warehouses. Solid understanding ofprogrammatic advertising data(impressions, clicks, CTR, CPM, conversions, ROAS, etc.). Experience withA/B testing frameworksandconversion rate analysis. Familiarity withHeap,Google Analytics, or similarbehavioral analytics tools. Practical experience withBI toolssuch as Power BI, Tableau, Looker, or Sigma. Stronganalytical, problem-solving, and data storytelling skills. Knowledge ofETL/ELT processes,data governance, anddata quality management.

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