As a Senior Software Engineer - SQL Development, you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.
Responsibilities: -
- Design, develop, and maintain the company's data applications.
- Work with product management team and analysts to build and deploy data-driven solutions.
- Develop and implement data model and data quality.
- Work with stakeholders to understand the data needs and requirements.
- Provide technical leadership to the data engineering team.
- Stay up-to-date on the latest data engineering trends and technologies.
- Perform periodic code reviews to ensure that the code is rigorously designed, coded, and effectively tuned for performance.
About the program: -
The Data Academy program is designed to accelerate your career and enhance your expertise in modern Data Engineering tech stacks, focusing on developing cutting-edge solutions in the healthcare space.
Here are a few key highlights
- Comprehensive Training in Healthcare Data Migration, Integration, and Modernization
- Access to Cutting-Edge Cloud Infrastructure & Advanced Data Engineering Tool
- Use modern tech stack like Databricks and Snowflake
- Mentorship from CitiusTech SMEs
- Engage in Real-World Projects in the Healthcare Domain
- Earn a certification that's recognized worldwide, boosting your career prospects
- You will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards
Experience: -
Location: -
Educational Qualifications: -
- Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
- Technical certification in multiple technologies is desirable.
Skills: -
Mandatory Technical Skills: -
- Strong knowledge Python and SQL
- Any one ETL/ELT platforms development experience and building data pipelines (real-time, batch)
- Knowledge of Distributed computing, Big Data Concepts and PySpark
- Experience in integrating and processing semi-structured/un-structured files and data processing, data preparation, and data quality, and more
- Strong understanding of data warehousing and data lakes
- Excellent communication and interpersonal skills
- Ability to work under pressure and meet deadlines
Good to Have Skills: -
- Hands-on experience in at least 1 Cloud Hyperscaler's (AWS/Azure) data services
- Hands-on experience in Azure Cloud (Azure HD Insights, Azure Data Factory, ADF, Synapse) or AWS Cloud (AWS EMR, Athena, Glue, Kinesis, Firehose, AWS Step functions, Amazon QuickSight, Athena, Redshift)
- Experience in designing and developing ETL large scale data pipelines
- Knowledge of data engineering tools and technologies
- Experience in handling healthcare clients and data
