Job Title: Data Engineer
Location: NYC / Montreal / Alpharetta GA
Experience: 6 Years (preferred)
Work Mode: Hybrid / Onsite (as per client needs)
Job Overview
We are seeking a highly skilled Data Engineer to design build and optimize scalable data pipelines and analytics platforms. The ideal candidate will have strong hands-on experience with Python Snowflake and modern ELT/ETL frameworks along with exposure to Big Data Analytics Vector Databases and LLM-driven solutions. This role will support advanced analytics AI/ML use cases and next-generation data products.
Key Responsibilities
- Design develop and maintain robust ELT/ETL data pipelines for structured and unstructured data
- Build and optimize data models and transformations in Snowflake
- Develop scalable data processing solutions using Python
- Support Big Data Analytics platforms and large-scale data ingestion frameworks
- Integrate and manage Vector Databases to support AI/ML and LLM use cases
- Collaborate with data scientists and ML engineers to operationalize LLMs
- Work with Graph Databases and RDF models to enable complex relationship-based analytics
- Leverage Snowflake Cortex for AI-driven analytics and data intelligence
- Ensure data quality governance performance and security best practices
- Partner with cross-functional teams to translate business requirements into technical solutions
Required Skills & Qualifications
- Strong hands-on experience with Python for data engineering
- Extensive experience with Snowflake (data modeling performance tuning SQL)
- Solid understanding of ELT/ETL architectures and data pipeline design
- Experience working with Big Data technologies and analytics platforms
- Knowledge of Vector Databases (e.g. Pinecone FAISS Milvus Weaviate etc.)
- Experience integrating or supporting Large Language Models (LLMs)
- Familiarity with Graph Databases (Neo4j Amazon Neptune etc.) and RDF
- Understanding of cloud-based data platforms (AWS/Azure/GCP preferred)
Nice to Have
- Hands-on experience with Snowflake Cortex
- Exposure to AI/ML pipelines and MLOps practices
- Knowledge of streaming platforms (Kafka Kinesis etc.)
- Experience in financial services or large enterprise environments
Note: Momento USA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex pregnancy sexual orientation gender identity national origin age protected veteran status or disability status.
Job Title: Data Engineer Location: NYC / Montreal / Alpharetta GA Experience: 6 Years (preferred) Work Mode: Hybrid / Onsite (as per client needs) Job Overview We are seeking a highly skilled Data Engineer to design build and optimize scalable data pipelines and analytics platforms. The ideal can...
Job Title: Data Engineer
Location: NYC / Montreal / Alpharetta GA
Experience: 6 Years (preferred)
Work Mode: Hybrid / Onsite (as per client needs)
Job Overview
We are seeking a highly skilled Data Engineer to design build and optimize scalable data pipelines and analytics platforms. The ideal candidate will have strong hands-on experience with Python Snowflake and modern ELT/ETL frameworks along with exposure to Big Data Analytics Vector Databases and LLM-driven solutions. This role will support advanced analytics AI/ML use cases and next-generation data products.
Key Responsibilities
- Design develop and maintain robust ELT/ETL data pipelines for structured and unstructured data
- Build and optimize data models and transformations in Snowflake
- Develop scalable data processing solutions using Python
- Support Big Data Analytics platforms and large-scale data ingestion frameworks
- Integrate and manage Vector Databases to support AI/ML and LLM use cases
- Collaborate with data scientists and ML engineers to operationalize LLMs
- Work with Graph Databases and RDF models to enable complex relationship-based analytics
- Leverage Snowflake Cortex for AI-driven analytics and data intelligence
- Ensure data quality governance performance and security best practices
- Partner with cross-functional teams to translate business requirements into technical solutions
Required Skills & Qualifications
- Strong hands-on experience with Python for data engineering
- Extensive experience with Snowflake (data modeling performance tuning SQL)
- Solid understanding of ELT/ETL architectures and data pipeline design
- Experience working with Big Data technologies and analytics platforms
- Knowledge of Vector Databases (e.g. Pinecone FAISS Milvus Weaviate etc.)
- Experience integrating or supporting Large Language Models (LLMs)
- Familiarity with Graph Databases (Neo4j Amazon Neptune etc.) and RDF
- Understanding of cloud-based data platforms (AWS/Azure/GCP preferred)
Nice to Have
- Hands-on experience with Snowflake Cortex
- Exposure to AI/ML pipelines and MLOps practices
- Knowledge of streaming platforms (Kafka Kinesis etc.)
- Experience in financial services or large enterprise environments
Note: Momento USA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex pregnancy sexual orientation gender identity national origin age protected veteran status or disability status.
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