Senior Data Analytics and Visualization Engineer

Remote • Posted 60+ days ago • Updated 2 hours ago
Full Time
Remote
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Visualization
  • Finance
  • Telecommunications
  • Media
  • Insurance
  • Pharmaceutics
  • Product Demonstration
  • Demonstrations
  • Management
  • Reporting
  • Microsoft Power BI
  • Tableau
  • Programming Languages
  • Python
  • Data Analysis
  • Data Visualization
  • Dashboard
  • SQL
  • Relational Databases
  • Microsoft SQL Server
  • Oracle
  • MySQL
  • PostgreSQL
  • Data Cleansing
  • Data Profiling
  • Data Security
  • Data Architecture
  • Data Warehouse
  • Data Lake
  • Data Marts
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud Platform
  • Google Cloud
  • Snow Flake Schema
  • Testing
  • Agile
  • Scrum
  • Kanban
  • Continuous Integration
  • Continuous Delivery
  • English
  • Extract
  • Transform
  • Load

Summary

We are looking for a Senior Data Analytics and Visualization Engineer passionate about data to extend our team of professionals. In this role, you will work with clients from various business domains - Finance, Telecom, Media, Insurance, Oil&Gas, Pharma and others. Responsibilities Build advanced-level dashboards and reports Communicate with the Product owner, gather requirements and conduct demo sessions Design and build data models, conduct data preparation and profiling Perform detailed analysis of business problems and technical environments Manage security and administrate the reporting environment Participate in architecture and testing processes to ensure they meet best practice specifications Requirements 5+ years of practical experience with one of the reporting tools - Power BI (preferable), Tableau, Looker, other Programming languages: Python Proficiency in Data Analytics and Data Visualization concepts Skills in developing reports and dashboards Advanced SQL knowledge and background in relational databases such as MS SQL Server, Oracle, MySQL, and PostgreSQL Understanding of landing, staging area, data cleansing, data profiling, data security and data architecture concepts (DWH, Data Lake, Delta Lake/Lakehouse, Datamart) Familiarity with Cloud technologies (AWS, Azure, Google Cloud Platform, Snowflake) Expertise in data products testing Ability to work in an agile development environment (SCRUM, Kanban) Understanding of CI/CD principles and best practices English level - Upper-Intermediate and higher Nice to have Experience in building ETL
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10330481
  • Position Id: 2a32d8ee10bab59b9b02a38e0f596fa7
  • Posted 30+ days ago
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