
Chief Data Architect
3 days ago
We are seeking a highly skilled Data Engineer to drive our data engineering initiatives using cutting-edge tools and technologies.
The ideal candidate will have a strong background in data modeling, ETL/ELT process automation, and cloud-based data solution deployment. They will be responsible for designing, developing, and optimizing scalable data pipelines that support business intelligence and advanced analytics projects.
- Design and develop efficient, scalable database structures ensuring data integrity and performance.
- Implement and manage ETL/ELT processes and tools to maintain efficient, reliable data flows with high data quality.
- Explore and integrate Generative AI solutions using LLM Mesh to build innovative AI-powered features.
- Utilize Python and SQL for data manipulation, analysis, automation, and custom data solution development.
- Deploy and manage scalable data solutions on cloud platforms like AWS or Azure for optimal performance and cost-efficiency.
Requirements:
- 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 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).
Bonus Requirements:
- 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.
Education:
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative discipline.
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