ETL Data Engineer

• Contribute to the design, development, maintenance and evolution of scalable data pipelines, data structures, source systems and warehouse/lake environments.
• Partner closely with data team members, cross-functional stakeholders to manage, structure, and analyse data from various sources to solve business problems.
• Contribute to documentation of data models, dictionaries, data flow maps, and metadata to support transparency and data governance.
• Hands on support of the current ETL processes, share responsibilities for monitoring the current data pipelines and processes.
• Effectively manages project requirements, ensures timely delivery, and maintains high-quality standards.
• Ability to find opportunities, assess problems, effectively recommend and implement the best solution.
• Partner with technical teams and stakeholders to implement data capture, ETL, validation, and QA.
• Candidate's methodical and intentional approach, crucial for establishing a focused context, will be vital in supporting diverse team efforts while candidates manage multiple projects and ensuring quality and timeliness.
• Staying abreast of the latest developments in technology and data management practices.

• BS in Computer Science, Software engineering, Information technology, Data and Analytics or equivalent degree.
• 4 - 5 years experience with building and maintaining data lake and data solutions.
• Strong understanding of data structures, database objects, data normalization and data transformation techniques required.
• Proficiency in SQL with the ability to write complex stored procedures for data processing. Experience with Snowflake.
• Proficiency in Python required. Experience in building highly insightful dashboards using Power BI.
• Automated and scaled application deployments leveraging AWS Lambda functions, containerized solutions with Elastic Container Service (ECS), and secure credential handling via AWS Secrets Manager.
• Thorough understanding and ability to lead through the agile and waterfall methodologies. Excellent written and verbal communication skills required.
• Strong analytical, troubleshooting and problem-solving skills.

CYNET SYSTEMS