Senior Data Engineer (Snowflake)
Senior Data Engineer (Snowflake)
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Design develop and implement a robust AEM-to-Snowflake data ingestion pipeline.
Process and transform unstructured data sources (PDFs images text) for downstream analytics.
Integrate Snowflake Cortex AI to support conversational search and retrieval-augmented generation (RAG) use cases.
Optimize ETL processes for scalability and performance.
Collaborate closely with data scientists and AI engineers to support advanced search and conversational agent features.
Ensure data quality security and compliance with industry standards.
Provide technical guidance and knowledge sharing within the team.
Qualifications :
Proven expertise in Snowflake as a primary data platform.
Strong proficiency in Python for data engineering tasks.
Experience in building and maintaining ETL pipelines and data ingestion processes.
Hands-on experience with unstructured data formats and ingestion workflows.
Familiarity with PySpark is a plus.
Knowledge of Snowflake Cortex AI or other conversational AI frameworks is a strong plus.
Ability to work independently in a proof-of-concept environment.
Strong problem-solving and collaboration skills.
What about languages
Advanced English level (both written and spoken) is required.
How much experience must I have
Minimum 5 years of experience in data engineering or related roles.
Additional Information :
Our Perks and Benefits:
Learning Opportunities:
Certifications in AWS (we are AWS Partners) Databricks and Snowflake.
Access to AI learning paths to stay up to date with the latest technologies.
Study plans courses and additional certifications tailored to your role.
Access to Udemy Business offering thousands of courses to boost your technical and soft skills.
English lessons to support your professional communication.
Mentoring and Development:
Career development plans and mentorship programs to help shape your path.
Celebrations & Support:
Special day rewards to celebrate birthdays work anniversaries and other personal milestones.
Company-provided equipment.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location please consult with one of our recruiters.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
