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Job Description
We are seeking a highly skilled and experienced Senior Data Engineer to join our team. This pivotal role focuses on building robust, scalable data pipelines that will serve as the backbone for our analytical and operational platforms. The ideal candidate will have a deep understanding of data architecture, ETL processes, and a proven track record in leveraging data integration tools to streamline data workflows and enhance data quality.
Key Responsibilities
- Design, construct, install, test, and maintain highly scalable data management systems.
- Ensure systems meet business requirements and industry practices for data integrity and quality.
- Build high-performance algorithms, prototypes, predictive models, and proof of concepts.
- Translate complex functional and technical requirements into detailed architecture, design, and high-performing software.
- Analyze and organize raw data, evaluating business needs and objectives to develop sustainable data pipelines.
- Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes.
Job Requirements
- 7+ years of experience in building and optimizing data pipelines, architectures, and data sets.
- Strong experience with ETL tools such as Informatica, Talend, and Microsoft SSIS.
- Proficiency in building data quality pipelines, data cleansing processes, and ensuring data integrity.
- In-depth knowledge of SQL and experience with relational databases, query authoring, as well as working familiarity with a variety of databases.
- Experience with big data tools: Hadoop, Spark, Kafka, etc. is a plus.
- Knowledge of programming languages such as Python for data manipulation and data analysis is highly advantageous.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- A degree in Computer Science, Engineering, Mathematics, or a related field.