Job
Description
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 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
