| Senior Data Engineer Healthcare Domain Must at Fort Lauderdale, Florida, USA |
| Email: [email protected] |
| From: Clark Adam, VKore Solutions [email protected] Reply to: [email protected] Hi, Urgent position of Senior Data Engineer Location: Fort Lauderdale, FL (REMOTE) Duration: Long Term Contract KEY DUTIES AND RESPONSIBILITIES: Design, develop, and maintain robust data pipelines using Python and PySpark to process large volumes of healthcare data efficiently in a multitenant analytics platform. Collaborate with cross-functional teams to understand data requirements, implement data models, and ensure data integrity throughout the pipeline. Optimize data workflows for performance and scalability, considering factors such as data volume, velocity, and variety. Implement best practices for data ingestion, transformation, and storage in AWS services such as S3, Glue, EMR, and Redshift. Model data in relational databases (e.g., PostgreSQL, MySQL) and file-based databases to support data processing requirements. Design and implement ETL processes using Python and PySpark to extract, transform, and load data from various sources into target databases. Troubleshoot and enhance existing ETLs and processing scripts to improve efficiency and reliability of data pipelines. Develop monitoring and alerting mechanisms to identify proactively and address data quality issues and performance bottlenecks. EDUCATION AND EXPERIENCE : Minimum of 5 years of experience in data engineering, with a focus on building and optimizing data pipelines. Expertise in Python programming and hands-on experience with PySpark for data processing and analysis. Proficiency in Python frameworks and libraries for scientific computing (e.g. Numpy, Pandas, SciPy, Pytorch, Pyarrow). Strong understanding of AWS services and experience in deploying data solutions on cloud platforms. Experience working with healthcare data, including but not limited to eligibility, claims, payments, and risk adjustment datasets. Expertise in modeling data in relational databases (e.g., PostgreSQL, MySQL) and file-based databases, ETL processes and data warehousing concepts. Proven track record of designing, implementing, and troubleshooting ETL processes and processing scripts using Python and PySpark. Excellent problem-solving skills and the ability to work independently as well as part of a team. Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Relevant certifications in AWS or data engineering would be a plus. OTHER DUTIES AND RESPONSIBILITIES Responsible for compliance with all federal, state, and local laws, rules and regulations affecting Company. Responsible for participating in quality assurance, compliance and in-service and continuing education activities as requested by Company. Responsible for performing other duties and responsibilities as required. Requirements Expertise in Python programming language for data processing and analysis. Expertise in PySpark for building scalable data pipelines. In-depth knowledge of AWS services such as S3, Glue, EMR, and Redshift for data storage and processing. Familiarity with relational databases (e.g., PostgreSQL, MySQL) and file-based databases for data modeling and storage. Understanding of data modeling, ETL processes, and data warehousing concepts. Knowledge of best practices in data engineering and experience in optimizing data workflows for performance and scalability. Experience in healthcare data domains, including eligibility, claims, payments, and risk adjustment datasets. Up-to-date knowledge of emerging technologies and trends in data engineering. Strong problem-solving skills and the ability to troubleshoot and optimize data pipelines and ETL processes. Excellent communication and collaboration skills to work effectively with cross-functional teams. Proficient in designing, implementing, and maintaining data pipelines for processing large volumes of data. Ability to model data in relational and file-based databases to support data processing requirements. Skill in developing monitoring and alerting mechanisms to ensure data quality and pipeline reliability. Experience in deploying data solutions on cloud platforms and utilizing AWS services for data processing. Proficiency in writing efficient and maintainable code for data processing tasks. Ability to stay organized, prioritize tasks, and meet project deadlines effectively. Ability to work independently and in a team-oriented, collaborative environment. Strong analytical skills to identify and address data quality issues and performance bottlenecks. Capability to innovate and recommend solutions for continuous improvement in data engineering processes. Ability to communicate complex technical concepts to non-technical stakeholders effectively. Strong attention to detail and commitment to delivering high-quality work. Ability to deal with problems involving several concrete variables in standardized situations. Ability to interact politely, tactfully and firmly with a wide range of people and personalities. Ability to work in an environment with potential interruptions. Ability to manage multiple simultaneous tasks with individual timeframes and priorities. Role 3: Software Engineer Location: Fort Lauderdale, FL (REMOTE) Duration: Long Term Contract KEY DUTIES AND RESPONSIBILITIES: Participate in software design, development, and deployment activities. Ensure data security and compliance with organizational standards. Monitor and adapt to technological changes impacting system security Collaborate with stakeholders to meet project objectives. Engage in Agile methodologies for software development. Fill gaps in development as required and demonstrate a willingness to learn new technologies. Support project management activities as needed. EDUCATION AND EXPERIENCE: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum of 1-3 years of software engineering experience. Proficiency in Java/Scala programming. Familiarity with AWS services and deploying data solutions on cloud platforms. Experience with Microservice architecture and event-driven systems like Kafka. Knowledge of Go language is desirable. Have a background in back-end technologies, including API Rest Interfaces & SQL. Experience working with healthcare data, including but not limited to eligibility, claims, payments, and risk adjustment datasets. Strong programming/debugging skills, with a hands-on approach Relevant certifications in AWS or software engineering would be a plus. OTHER DUTIES AND RESPONSIBILITIES Responsible for compliance with all federal, state, and local laws, rules and regulations affecting Company. Responsible for participating in quality assurance, compliance and in-service and continuing education activities as requested by Company. Responsible for performing other duties and responsibilities as required. Requirements KNOWLEDGE, SKILLS, AND ABILITIES: Strong proficiency in Java/Scala. Good understanding of AWS services, containerized deployments, and Kubernetes Experience in healthcare data domains, including eligibility, claims, payments, and risk adjustment datasets. Ability to adapt to changing technological environments. Effective communication skills, both verbal and written. Strong problem-solving and critical thinking skills. Commitment to quality assurance and accuracy in work product. Capacity to prioritize tasks and meet project deadlines effectively. Ability to work both independently and in a team-oriented, collaborative environment. Willingness to contribute ideas for process improvement in software engineering. Ability to communicate technical concepts to non-technical stakeholders. Attention to detail and commitment to delivering quality work. Ability to handle problems involving several concrete variables in standardized situations. Ability to interact professionally with a variety of individuals. Ability to work in an environment with potential interruptions. Capacity to manage multiple simultaneous tasks with individual timeframes and priorities. Keywords: sthree golang Florida Senior Data Engineer Healthcare Domain Must [email protected] |
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| Tue Apr 09 01:40:00 UTC 2024 |