Data Engineer; AWS-Onsite Tampa Metropolitan Locals -W2

Data Engineer (AWS)-Onsite(2-3 days a week)- Tampa Metropolitan Locals
-W2 role

Direct message the job poster from KYYBA Inc

Job Title
:
Data Engineer (AWS)
- Onsite(2-3 days a week)- Tampa Metropolitan Locals
-W2 role

Are you a Data Engineer seeking a dynamic and rewarding opportunity? Our client, a leading company in Healthcare, is looking for a talented Data engineer to join their growing team in Tampa, FL.

Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances. At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere.

We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development. Kyyba is recruiting for the below mentioned position with our direct client which is one of the major Healthcare Payers in the US.

We are seeking a skilled Data Engineer to join our team and focus on the development, implementation, and maintenance of our data warehouse using Amazon Redshift. The ideal candidate will have a strong background in data engineering, experience with AWS infrastructure, and expertise in managing data sourced from structured and unstructured data sources. Additionally, you will be responsible for creating insightful reports using Amazon Quick Sight.

Design, develop, and maintain robust data warehouse solutions utilizing Amazon Redshift.

Collaborate with cross-functional teams to gather data requirements and ensure seamless data integration from databases, external files, and other structured and unstructured data sources.

Define, create, and optimize ETL processes to enhance data extraction, transformation, and loading using AWS services.

Maintain data integrity and ensure high availability and performance of data storage systems.

Implement data governance practices to ensure compliance and security of data assets.

Develop and maintain data pipelines and workflows using AWS tools such as Glue, Lambda, Step Functions, Athena, DMS, Redshift, and others.

Utilize Amazon Quick Sight to design, develop, and publish dynamic reports and dashboards for business analytics.

Perform data analysis and validation to ensure data accuracy and consistency.

Troubleshoot and resolve complex data processing issues in a timely manner.

Stay current with industry trends and best practices related to data engineering and AWS technologies.

Bachelor’s degree in Computer Science, Information Technology, or a related field.

Proven experience as a Data Engineer, with a focus on data warehouse architecture and development.

Proficiency in SQL and experience with AWS services such as Redshift, S3, and Quick Sight.

Familiarity with data extraction and transformation using MySQL databases and data modeling, database management, and data warehousing concepts.

Experience with ETL tools and frameworks.

Ability to work collaboratively in a team environment and communicate effectively.

Strong problem-solving skills and attention to detail.

AWS Certified Data Analytics or AWS Certified Solutions Architect certification.

Experience with big data tools and technologies.

Familiarity with data visualization and reporting tools.

Kyyba is an Equal Opportunity Employer.

Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.

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