Data Engineer

MPOWER PLUS LLC
Santa Clara, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Santa Clara, United States of America

Tech stack

Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Azure
Big Data
Data Architecture
ETL
Python
Machine Learning
Performance Tuning
SQL Databases
Unstructured Data
Data Ingestion
Large Language Models
Snowflake
Spark
Data Lake
Kafka
Machine Learning Operations
Data Pipelines

Job description

We are looking for a skilled Data Engineer with strong expertise in Snowflake and AI/ML technologies. The ideal candidate will be responsible for building scalable data pipelines, enabling advanced analytics, and supporting AI-driven solutions., Design, develop, and maintain scalable data pipelines using Snowflake

Implement data ingestion, transformation, and integration processes

Work with structured and unstructured data for AI/ML use cases

Collaborate with data scientists to deploy and optimize AI/ML models

Optimize Snowflake performance, cost, and data architecture

Ensure data quality, governance, and security standards

Requirements

Strong experience with Snowflake (data modeling, performance tuning, security)

Proficiency in SQL and Python

Experience with ETL/ELT tools (e.g., Airflow, Informatica, dbt)

Hands-on experience with cloud platforms (AWS/Azure/GCP)

Understanding of AI/ML concepts and model deployment

Experience with big data technologies (Spark, Kafka is a plus)

Preferred Skills:

Experience with MLOps and model lifecycle management

Knowledge of data lake and lakehouse architectures

Familiarity with GenAI/LLM integration is an added advantage

Soft Skills:

Strong problem-solving and analytical skills

Good communication and stakeholder management

Ability to work in a fast-paced, collaborative environment

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