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Leading Data Engineering Solutions
2 weeks ago
We are seeking an experienced data professional to work on complex projects, collaborate with cross-functional teams, and drive business growth through data-driven insights.
The ideal candidate will have a strong background in data engineering, excellent problem-solving skills, and experience working with cloud-based services.
Key Responsibilities:- Design, develop, and implement scalable and efficient data pipelines using various technologies such as Snowflake, AWS RDS, Azure, and Python.
- Collaborate with data analysts and scientists to understand business requirements and provide technical solutions that meet their needs.
- Develop and maintain high-quality data models, ensuring data integrity, consistency, and performance.
- Work closely with the development team to ensure seamless integration of data engineering solutions into the existing infrastructure.
- Stay up-to-date with emerging trends and technologies in data engineering and apply this knowledge to improve existing processes and architectures.
The role involves working with relational database technologies, designing and implementing ELT/ETL pipelines, and developing expertise in data movement technologies.
The successful candidate will be able to demonstrate a deep understanding of data modeling techniques, data ingestion toolsets, and APIs.
Requirements:- 5+ years of relevant experience in data engineering, data analysis, data warehouses, or data lakes.
- Strong experience with relational database technologies (Oracle SQL & PL/SQL, Postgres, or similar RDBMS).
- Experience with Snowflake, Dataverse, AWS RDS, Azure, or other cloud data-warehousing services.
- Deep expertise in data movement technologies (ETL/ELT) and experience with Control-M and schedulers, plus Python and shell scripting.
- Proven experience understanding multi-functional enterprise data and navigating between business analytics needs and data.
- Self-motivated and effective when working within a team delivery model.
- Excellent organisational and communication skills.
- Demonstrated history of collaborating in teams to deliver high-quality data solutions in a multi-developer global environment, following design and coding best practices.
- Outstanding SQL capabilities and experience performing deep data analysis across multiple database platforms.
- Ability to develop ELT/ETL pipelines to move data to and from Snowflake using a combination of Python and Snowflake SnowSQL.
- Knowledge of data modelling techniques and best practices (relational, dimensional), and prior experience with data modelling tools.
- Prior experience with data ingestion toolsets (e.g., Apache NiFi, Kafka) is advantageous.
- Experience with APIs, Python, and PowerApps is advantageous.
- Experience in data architecture (database design, performance optimisation).
- Experience working with data in Jira, Jira Align, or the Workforce Connect domain is a plus.
