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2 weeks ago
We are seeking a highly skilled Data Engineer to join our team. As a key member of the data engineering team, you will be responsible for designing, developing, and optimizing scalable data pipelines to support business intelligence and advanced analytics projects.
Your primary focus will be on using Dataiku to drive data engineering initiatives, including data preparation, analysis, visualization, and deploying data solutions. You will work closely with cross-functional teams to understand requirements and deliver impactful solutions.
In this role, you will have the opportunity to explore and integrate Generative AI solutions using LLM Mesh to build innovative AI-powered features. You will also utilize Python and SQL for data manipulation, analysis, automation, and custom data solution development.
Required Skills & Qualifications- Demonstrable expertise in Dataiku for end-to-end data pipeline and application development.
- Strong knowledge of data modeling techniques (e.g., dimensional modeling, Kimball, Inmon) for scalable database design.
- Extensive experience with ETL/ELT processes and tools such as Dataiku's built-in capabilities, Apache Airflow, Talend, or SSIS.
- Familiarity with LLM Mesh or similar frameworks for Generative AI integration.
- Proficiency in Python programming and SQL querying for data manipulation and database interaction.
- Hands-on experience with cloud platforms (AWS or Azure) for deploying scalable data solutions (e.g., S3, EC2, Azure Data Lake, Azure Synapse).
- Experience with big data technologies such as Spark, Hadoop, or Snowflake.
- Knowledge of data governance and data security best practices.
- Familiarity with MLOps principles and tools.
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative discipline.
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