Mandatory Skills
We are seeking a skilled and motivated Intermediate Data Engineer to join our dynamic team. The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient processing and analysis of large datasets. As an Intermediate Data Engineer, you will collaborate with cross-functional teams to implement data solutions that align with our business objectives.
Responsibilities:
- Data Pipeline Development: Design, implement, and maintain scalable data pipelines for the extraction, transformation, and loading of large datasets.
- Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.
- Data Integration: Integrate diverse data sources and formats to enable seamless data flow across systems.
- Data Quality Assurance: Implement and monitor data quality checks to ensure the integrity of the data throughout the entire data lifecycle.
- Collaboration: Work closely with business analysts, colleagues and other stakeholders to understand data requirements and deliver effective solutions.
- Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems.
- Documentation: Document data engineering processes, data models, and configurations for knowledge sharing and future reference.
- Adherence to Best Practices: Stay current with industry trends and best practices in data engineering within company and ensure the adoption of these practices within the team.
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Minimum of 5 years of proven experience as a Data Engineer or similar role.
- Strong proficiency in programming languages such as Spark SQL and Python in a HIVE environment.
- Familiarity with cloud platforms such as AWS and Big Data infrastructure, Jira, Bitbucket, etc.
- Experience in CI/CD pipeline and working in an Agile environment.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
- Knowledge of data warehousing concepts and technologies.
- Candidates with experience in the Banking Industry will have an added advantage.
- Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.
Note: Proficiency in Spark SQL is mandatory. Experience with Avaloq data is preferred
