FAQs
What are the primary responsibilities of a Data Engineer at Diverse Lynx LLC?
The primary responsibilities include working with Azure Data Factory, Azure Data Lake Storage, and Azure SQL Database, as well as developing ETL processes, managing customer master data, and implementing data standardization and hygiene practices.
What technical skills are required for this Data Engineer position?
Candidates should have strong skills in SQL, Python, and experience with ETL processes, as well as knowledge of customer matching techniques, including probabilistic and fuzzy matching.
Is experience with Azure technologies mandatory for this role?
Yes, experience with Azure Data Factory, Azure Data Lake Storage, and Azure SQL Database is essential for this position.
Does the role involve working with customer data?
Yes, the role focuses on customer master data management, data standardization, and ensuring data hygiene.
How does Diverse Lynx LLC promote diversity in the workplace?
Diverse Lynx LLC is committed to a diverse workforce and evaluates applicants based solely on their abilities and competencies. The company actively supports a diverse environment across all levels.
What is the hiring process like at Diverse Lynx LLC?
The hiring process includes evaluating applicants on their qualifications and proven capabilities. Qualified applicants will receive consideration for employment without discrimination.
Are there opportunities for professional development within the company?
Yes, Diverse Lynx LLC encourages growth and development opportunities for employees to enhance their skills and advance in their careers.
What tools or platforms will I primarily use in this Data Engineer role?
You will primarily work with Azure Data Factory, Azure Data Lake Storage, Azure SQL Database, and various data processing frameworks.
Does the position require collaboration with other teams?
Yes, collaboration with other teams is often necessary to ensure successful data integration and management processes.
Are there any specific educational requirements for this role?
While specific educational requirements may not be listed, a background in data engineering, computer science, or a related field is generally preferred.