Back to SearchSenior Data Software Engineer
Data Software Engineering, Python.Core, Pandas, Databricks, Amazon Web Services, Azure Data Factory, Power BI Report Development, Jupyter Notebook
Sorry, this position is no longer available
We are seeking a highly skilled Senior Data Software Engineer to join our remote team for a government project aimed at boosting the capacities of administrative service centers to deliver accessible and inclusive assistance. In this role you will be responsible for developing and implementing data pipelines for collecting data from various sources, as well as creating regular reports and dashboards using Power BI tools. If you have a passion for data-driven solutions and want to work on a project that has a positive impact on society, we encourage you to apply.
Responsibilities
- Design and implement scalable, high-performance data software solutions that meet project requirements
- Develop and implement data pipelines for collecting data from various sources
- Create regular reports and dashboards using Data Analysis and Visualization tools as needed
- Write data transformations using advanced scripting
- Collaborate with cross-functional teams to conceptualize, design, develop, and implement effective data solutions
- Ensure data quality and integrity throughout the data lifecycle
- Develop and maintain technical documentation for data solutions
- Stay up-to-date with emerging trends and technologies in data software engineering
Requirements
- At least 3 years of experience in Data Software Engineering
- Expertise in Python programming and core Python libraries such as Pandas
- Experience with Power BI Report Development and Jupyter Notebook
- Strong knowledge on Databricks and Amazon Web Services
- Experience with data modeling and database design
- Proven ability to design and implement scalable, high-performance data software solutions
- Familiarity with Agile methodologies and software development best practices
- Excellent written and oral communication skills in English (Upper-Intermediate level)
Nice to have
- Experience with data visualization tools such as Tableau or QlikView
- Familiarity with data warehousing and ETL processes
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