Back to SearchSenior Data Engineer
Data Analytics and Visualization, Microsoft Power BI, Azure Data Factory, Azure Databricks, Power BI Report Development
Sorry, this position is no longer available
We are seeking a Senior Data & Web Analyst to join our remote team, working with a leading provider of cloud-based solutions for businesses worldwide. In this role, you will be responsible for analyzing and visualizing data, creating monitoring dashboards, and working on data collection and processing using Azure Data Factory, Azure Databricks, or Synapse. You will also retrieve and transform data from REST endpoints, work with Python or Pyspark libraries, and have experience in Spark structured streaming. If you are passionate about data analytics and visualization and have a keen eye for detail, we invite you to be part of our team.
Responsibilities
- Analyze and visualize data, creating monitoring dashboards using Microsoft Power BI
- Work on data collection and processing using Azure Data Factory, Azure Databricks, or Synapse
- Retrieve and transform data from REST endpoints
- Work with Python or Pyspark libraries
- Have experience in Spark structured streaming (great to have, but not required)
- Collaborate with cross-functional teams to understand product requirements and user needs
- Participate in design reviews, offering input on requirements, product design, and potential challenges
- Contribute to the preparation of UI automated test cases using tools like TestIM, Cypress, or other preferred UI automation frameworks
Requirements
- A minimum of 3 years of experience in Data Analytics and Visualization, with a strong understanding of data collection, analysis, and visualization techniques
- Hands-on experience with Microsoft Power BI, including Power BI Report Development
- Practical experience in using Azure Data Factory, Azure Databricks, or Synapse for data collection and processing
- Previous experience retrieving and transforming data from REST endpoints
- Familiarity with Python or Pyspark libraries
- Experience in Spark structured streaming (great to have, but not required)
- Fluent spoken and written English at an Upper-Intermediate level or higher, enabling effective communication
Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn