Data Engineer II (R-18258)

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Monitor and troubleshoot data workflows to ensure data quality, availability, and performance.
• Automate manual processes and develop innovative data tools.
• Evaluate and implement recent technology solutions, end-to-end process ownership.
• Communicate with stakeholders
• Conduct knowledge exchange sessions with technical and non-technical audiences.
• Build new analytical processes, provide insight to data quality issues and implement data quality improvement processes.
• Research and implement modern data mastering techniques to increase derived insight on disparate data sources.
• Support other data engineers with design of ETL processes, code reviews, and knowledge sharing.
• Develop and maintain data documentation, including data dictionaries, data flow diagrams, and data lineage.

Key Skills:

• Minimum of 5 years of experience in data engineering or a related field.
• Bachelor's degree in computer science, Information Technology, or a related discipline.
• Strong proficiency in SQL and hands-on experience with at least one programming language such as PHP, Python, or Java.
• Ability to utilize the network, applications, operating system monitoring and troubleshooting.
• Take ownership of existing applications for further development/improvements
• Work closely with related groups to ensure business continuity
• A self-motivated learner with strong customer focus and with quality
• Logical with very strong problem-solving skills
• Strong understanding of data modeling, data warehousing, and database design
• Experience with hosted environments AWS/Azure/GCP or other cloud service providers
• Analytical skills and able to perform analysis on code bases to increase performance.
• Strong team player with excellent listening and communication skills
• Fluent English written and verbal
• Results oriented, flexible with an enthusiastic approach
• Ability to respond quickly to Customer demands and market conditions.