| Analytics Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: Santhoshi, HAN IT Staffing [email protected] Reply to: [email protected] ROLE: Analytics Engineer - Onsite Client : Capgemini LOCATION: SAN FRANCISCO (US:94102), CA Responsibilities: Understand data needs by interfacing with fellow Analytics Engineers, Data Scientists, Data Engineers, and Business Partners Architect, build, and launch efficient & reliable data models and pipelines in partnership with Data Engineering Design and implement metrics and dimensions to enable analysis and predictive modeling Design and develop dashboards or other data resources to enable self-serve data consumption Build tools for auditing, error logging, and validating data tables Define logging needs in partnership with Data Engineering Define and share best practices on metric, dimension, and data model development for analytics use Build and improve data tooling in partnership with Data Platform teams Required Qualifications: Passion for high data quality and scaling data science work 8+ years of relevant industry experience Strong skills in SQL and distributed system optimization (e.g. Spark, Presto, Hive) Experience in schema design and dimensional data modeling Experience in at least one programming language for data analysis (e.g. Python, R) Proven ability to succeed in both collaborative and independent work environments Detail-oriented and excited to learn new skills and tools Preferred qualifications: Experience with an ETL framework like Airflow Python, Scala, Superset, and Tableau skills preferred An eye for design when it comes to dashboards and visualization tools Familiarity with experimentation and machine learning techniques Keywords: rlang information technology California |
| [email protected] View all |
| Wed Nov 29 21:21:00 UTC 2023 |