Data Engineer with Strong experience in Data Bricks(Only on W2)

Overview

On Site
Hybrid
Depends on Experience
Contract - W2
Contract - 1 Year(s)

Skills

Amazon Web Services
Analytical Skill
Apache Spark
Big Data
Cloud Computing
Collaboration
Communication
Conflict Resolution
Data Governance
Data Migration
Data Modeling
Data Quality
Data Security
Data Warehouse
Database
Database Design
Databricks
Docker
Extract
Transform
Load
Good Clinical Practice
Google Cloud Platform
Kubernetes
Machine Learning (ML)
Microsoft Azure
Microsoft SQL Server
Orchestration
Problem Solving
Programming Languages
Python
RDBMS
Relational Databases
SQL
Scripting
Workflow
scikit-learn

Job Details

Job Title: Data Engineer with Strong experience in Data Bricks.
Location: Huston, TX
Note: Only on W2
Experience: 10+
Skill and Experience
BS or MS in Computer Science or relevant experience.
Extensive experience with Databricks, including ETL processes and data migration.
Certifications in Databricks.
Experience with additional cloud platforms like AWS, Azure, or Google Cloud Platform.
Knowledge of big data technologies and frameworks.
Strong experience in implementing and optimizing machine learning workflows using tools like Databricks ML, ML flow, scikit-learn, and Spark MLsslib from data preparation to model deployment.
Strong knowledge of data warehousing concepts, data modeling, and SQL.
Experience with RDBMS systems and transitioning data to modern cloud platforms.
Proficiency in programming languages such as Python, SQL, and scripting languages.
Knowledge of data governance frameworks, data quality management practices, and data security principles.
Proficiency in database technologies, including relational databases e.g., SQL Server. In-depth knowledge of data modelling, database design.
Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
Excellent problem-solving and analytical skills. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

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