
Key Player in Data Pipeline Development
19 hours ago
Job Title: Data Engineer
">- We are seeking a skilled professional to design, develop and implement data pipelines from both internal and external sources.
- The successful candidate will have experience with data transformation and modeling, combining complex datasets for downstream consumption and visualization.
- They will work primarily with SQL and Python to automate and optimize data loading and transformation systems.
- Maintain, operate, and tune Snowflake and DBT.
- Work with the AI team to develop and automate processes using RAG technologies.
- Monitor and troubleshoot operational or data issues in the data pipelines.
- Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.
- Design, develop, and maintain robust ETL pipelines to support data ingestion, transformation, and integration from various sources.
- Write complex and optimized SQL queries for data extraction, analysis, and transformation across large datasets.
- Manage and optimize data storage solutions, including data warehouses (e.g., Snowflake, Redshift).
- Troubleshoot ETL failures and performance issues in SQL scripts or data processes.
The ideal candidate will have demonstrable experience of working in a complex Data Science environment, applying Machine Learning techniques, advanced analytics, and statistical modeling.
- Experience with Kafka
- Strong knowledge of AWS cloud-native infrastructure
- Proficiency with Python Scripting
- Strong Experience with AWS RDS Query Optimisation (Aurora Postgres and Aurora MySQL)
- Experience with workflow management engines (i.e. Airflow, AWS Step Functions)
- Experience working with Snowflake and DBT
You will be a motivated self-starter who enjoys dealing with a myriad of internal stakeholders and will be able to coach senior executives along the data science journey.
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