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Data Engineer with AI/ML Framework - Denver, CO (In-Person Interview)

Denver, CO, US • Posted 1 day ago • Updated 1 day ago

Contract W2

On-site

$50+

Fitment

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Job Details

Skills

Artificial Intelligence
Apache Spark
Big Data
Cloud Computing
Data Validation
Data Quality
Data Processing
Data Modeling
Microsoft Azure
Machine Learning (ML)
SQL
Python
PySpark
ELT
Extract
Transform
Load
Performance Tuning

Summary

Those who can do In-person interview with Client.

Primary Skill Expectations:- Strong in SQL, Spark , Good Communication.

Job Overview:
We are seeking a skilled professional with strong expertise in Python, Spark, and leading AI/ML frameworks to design and build scalable, intelligent data solutions. The ideal candidate will have hands-on experience with big data platforms and distributed data processing.

Design, develop, and maintain scalable ETL/ELT data pipelines using Apache Spark and SQL
Build and optimize batch and near real-time data processing workflows across large-scale datasets
Develop data ingestion, transformation, and data quality frameworks for enterprise data platforms
Work with Delta Lake, data lakes, and cloud-based big data environments to ensure reliable data processing
Perform data modeling, query tuning, and performance optimization for large datasets
Integrate data from multiple source systems, databases, and external platforms
Implement data validation, monitoring, and troubleshooting processes to ensure data integrity
Collaborate with business analysts, architects, and cross-functional teams to deliver data-driven solutions
Support data governance, security, and compliance requirements across the data ecosystem

Required Skills

Strong proficiency in Apache Spark (PySpark) and SQL
Extnsive experience developing and optimizing ETL/ELT pipelines
Strong understanding of distributed data processing concepts and Spark architecture
Experience working with relational and non-relational databases
Proficiency in data modeling, performance tuning, and query optimization
Experience with workflow orchestration and scheduling tools (e.g., Airflow, Control-M, Azure Data Factory, or similar)
Familiarity with cloud data platforms such as Azure, AWS, or Google Cloud
Strong problem-solving, analytical, and troubleshooting skills

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX1c3114
Position Id: 9036635
Posted 1 day ago

Contact the job poster

Shawn Marsh

IT Analyst @ CA-One Tech Cloud Inc.

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