Data Engineer BI
7 days ago
Responsible for the analysis, definition, design, construction, testing, installation, modification, and maintenance of properly engineered information systems, containing software as the major component, to meet agreed business needs.
Responsibilities:
- Design, build and deploy BI solutions (e.g. reporting tools)
- Develop creative new data integrations, modifications to existing software, and/or make decisions regarding integrating software applications data in accordance with agreed upon specifications.
- Ensure high level of data quality is maintained.
- Gather business requirements, analyze source systems, define underlying data sources and transformation requirements, design data models, and develop metadata for data analysis and visualization.
- Acquire and analyze data and metrics across the enterprise to learn how they can be incorporated into data visualizations and dashboards.
- Translate business analysis and business needs into prototypes concepts of reports and dashboards and contribute to design and visualization best practices.
- Configure and administer data analytics and data visualization enterprise software platform.
- Have thorough understanding of data integration techniques and guide developers on efficient ETL design and development.
- Develop and update technical documentation.
- Provide troubleshooting analysis & resolution in a timely manner.
- Proactively analyze and bring forth ideas for continuous improvement.
- Provide status updates for own scope of work within projects.
- Participate in internal team and status meetings.
- Develop software using disciplined software development processes, adhering to team/company standards and software best practice guidelines, and corporate policies.
Required Skills:
- 3+ years of experience
- Worked on data engineering projects, data modeling, implementation, and development.
- Worked on data warehouses, hands-on engineering development design, build and deploy data architectures and pipelines.
- Experienced in SQL and data structures.
- Worked on development ETL process.
- Experience in performance improvement on data pipelines and a good understanding of Volume, Variety, Veracity, Velocity, and Value concepts in Big Data.
- Python and SQL experience.
- Expert in data curation, cleansing, and wrangling.
- Worked in integration with Tableau/Power BI.
- Worked on DBT, GitHub Actions/GIT.
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