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Senior Analytics Engineer
2 semanas atrás
- Highly experienced with the data-driven approach, equipped with a data-driven mindset
- Proficient in data analytics and data visualization, experienced with stakeholder communication through a data-driven approach
- Experience developing dashboards, reports, and data models to help teams track product performance and business health.
- Proficient in PySpark, PySQL, SQL, Python
- Proficient in AWS tooling, including Glue, RedShift, EMR, Dynamo, Athena (SQL), step functions. Alternatively, experience with serverless data management in other cloud platform, e.g. Azure, Google Cloud
- Experienced with implementation, maintenance and conducting queries of distributed production-grade python applications, preferably on top of big data
- Experience with Databricks or Delta Lake
- Experience with vector database
- Experience with data privacy and its implementation in data pipelines
- provide insights into customer behavior, feature adoption, and operational efficiency;
- define key success metrics and establish best practices for data-driven decision-making;
- partner with product managers, engineers, and leadership to identify business pain points, actionable insights, define and track KPIs;
- use data to drive feature prioritization, roadmap planning, and go-to-market strategies;
- build a distributed large-scale, production-grade data pipeline on big data in AWS;
- maintain a robust and scalable data pipeline to ensure it meeting needs from products, data privacy and compliance.
Location:
SAP
