Data Engineer
Raleigh, United States
Job Description
We are seeking a talented Data Engineer to join our team. The ideal candidate will have a strong foundation in data analysis, experience with data warehousing techniques, proficiency in SQL for data manipulation and querying, and expertise in data visualization using Power BI. The Data Engineer will play a crucial role in extracting insights from our data assets to support business decision-making processes.
Key Responsibilities:
· Work closely with cross-functional teams to understand data requirements and develop analytical solutions.
· Design and maintain data models within the data warehouse environment to support reporting and analysis needs.
· Write complex SQL queries to extract, transform, and manipulate data from various sources.
· Develop interactive and visually compelling dashboards and reports using Power BI to communicate insights to stakeholders.
· Perform ad-hoc data analysis to address business questions and support strategic initiatives.
· Collaborate with IT teams to ensure data quality, integrity, and security standards are maintained.
· Stay updated on industry best practices and emerging trends in data analytics and visualization.
Qualifications:
· Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field.
· 2-5 years of proven experience as a Data Engineer or similar role.
· Strong proficiency in SQL and experience with relational databases (e.g., SQL Server, MySQL, PostgreSQL).
· Solid understanding of data warehousing concepts and methodologies.
· Hands-on experience with data visualization tools, particularly Power BI (Tableau or similar tools will also be considered).
· Excellent analytical and problem-solving skills with a keen attention to detail.
· Ability to communicate complex findings and technical concepts effectively to non-technical stakeholders.
· Strong organizational and time-management skills with the ability to manage multiple priorities in a fast-paced environment.
· Experience with programming languages (e.g., Python, R) and ETL tools (e.g., SSIS, Pentaho) is a plus.
Benefits:
· Competitive salary commensurate with experience.
· Comprehensive benefits package including health, dental, and vision insurance.
· Retirement savings plan with company match.
· Flexible work arrangements and opportunities for professional development.
· Dynamic and collaborative work environment with opportunities for growth and advancement.
Equal Employment Opportunity and Employment Eligibility
Mayne Pharma provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Mayne Pharma also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Mayne Pharma is an E-Verify employer.
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Career Focus: Analyst, Data Management/Data Science, Engineer
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