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Skills:

ETL, Compliance, SSIS, English

Job type:

Full-time

• Design and build scalable, high-performance data pipelines and ETL processes to support seamless data integration across systems.
• Partner closely with data analysts, data scientists, and business stakeholders to understand their needs and transform them into efficient technical solutions.
• Develop and manage robust data models, ensuring consistent data quality, integrity, and accessibility.
• Optimize data processing pipelines, troubleshoot performance issues, and implement improvements to enhance efficiency.
• Document workflows, system configurations, and processes to maintain compliance and facilitate future enhancements.
• Stay ahead of the curve by keeping up-to-date with the latest advancements in data engineering, cloud platforms, and analytics tools.
• ABOUT YOU.
• Demonstrated expertise as a Data Engineer, with a strong background in designing and maintaining ETL pipelines using tools like Databricks and SSIS.
• Proficient in SQL, with a deep understanding of data warehousing concepts and best practices.
• Familiarity with cloud platforms such as Azure or AWS is highly desirable.
• Strong analytical and problem-solving skills, coupled with an exceptional attention to detail.
• Excellent communication and collaboration abilities, with fluency in English and a proven track record of working effectively with cross-functional teams.
• WHY AMARIS?.
• A global community of talented professionals, fostering innovation and collaboration.
• An empowering environment that prioritizes trust and offers ample opportunities for growth and development.
• Access to world-class training programs and resources to advance your career.
• A workplace culture centered around teamwork, inclusivity, and a commitment to corporate social responsibility.
• Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.