Binariks is looking for a highly motivated and skilled Data Engineer to join the team.
About the project: A platform is in the healthcare domain which gives the opportunity to manage appointments, communication between doctors and patients, billing, insurance, etc.
What We’re Looking For
- 2,5+ years of experience as a Data Engineer
- Highly proficient in Azure-Proven work experience
- Technical expertise with data models, data mining, and segmentation techniques
- Knowledge of programming languages (e.g. Java, Python, .NET)
- Hands-on experience with Azure Database for PostgreSQL
- Ability to diagnose and troubleshoot basic technical issues
- Experience with Azure Data Factory, Azure DevOps, Azure Data Factory / ETL, Azure Synapse, Azure blob storages
- Azure SQL Server, and other database experience including graphs, and documents in addition to relational is required
- Experience in documenting requirements and specifications
- People-oriented and a team player
- Excellent written and verbal communication skills with customers
- Upper-intermediate level of spoken and written English
- Degree in applied computer science
Will be a plus
- Experience with Azure PaaS products
- Experience with projects in healthcare domain
Your Responsibilities
- Design, develop and maintain scalable and efficient data pipelines to collect, process and store data from various sources (e.g., databases, APIs, logs).
- Implement data transformation processes to cleanse, enrich and transform raw data into usable formats for analytics and reporting.
- Participate in data modeling, design, development, technical due diligence, setup
- Report writing SQL repositories
- Report system design, data staging, report/query development, maintenance
- Performance tuning of data repositories
- Data and Database maintenance
- Help to develop quality checks
- Assist in the overall deployment and test strategies alongside QA to assist in environment setups, migrations, and overall testability
- Respond to support tickets impacting the data or data systems
- Maintain high-fidelity documentation and system diagrams to effectively communicate processes, entities, relationships, interactions
- Design and develop HIPAA-compliant interop as necessary based on the integration type