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Senior Data Engineer

Hybrid in Carolina Beach, NC, US • Posted 1 day ago • Updated 6 hours ago

Contract W2

12 Months

No Travel Required

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

Big Data
Analytical Skill
Apache HTTP Server
Apache Hadoop
Agile
Amazon Redshift
Amazon Web Services
Apache Kafka
Apache Spark
Conflict Resolution
Continuous Delivery
Cloud Computing
Collaboration
Continuous Integration
Extract
Transform
Load
Data Warehouse
Databricks
Git
Problem Solving
Real-time
Google Cloud Platform
Python
Snow Flake Schema
Good Clinical Practice
Microsoft Azure
Data Modeling
Data Processing
Data Quality
SQL
Streaming
ELT

Big Data
Analytical Skill
Apache HTTP Server
Apache Hadoop
Agile
Amazon Redshift
Amazon Web Services
Apache Kafka
Apache Spark
Conflict Resolution
Continuous Delivery
Cloud Computing
Collaboration
Continuous Integration
Extract
Transform
Load
Data Warehouse
Databricks
Git
Problem Solving
Real-time
Google Cloud Platform
Python
Snow Flake Schema
Good Clinical Practice
Microsoft Azure
Data Modeling
Data Processing
Data Quality
SQL
Streaming
ELT

Summary

Job Title: Senior Data Engineer

Experience: 10+ Years
Employment Type: Contract

Job Summary

We are looking for a Senior Data Engineer with 10+ years of experience in designing, building, and maintaining scalable data platforms and pipelines. The ideal candidate should have expertise in big data technologies, cloud platforms, ETL processes, and data warehousing.

Required Skills

10+ years of experience in Data Engineering
Strong proficiency in Python, SQL, and PySpark
Hands-on experience with Spark, Hadoop, Kafka, and Airflow
Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
Expertise in Snowflake, Redshift, BigQuery, or Azure Synapse
Strong knowledge of ETL/ELT, data modeling, and data warehousing
Experience with CI/CD, Git, and Agile methodologies
Excellent analytical and problem-solving skills

Key Responsibilities

Design, develop, and maintain scalable data pipelines.
Build robust ETL/ELT solutions for enterprise data platforms.
Optimize data processing and query performance.
Develop and maintain cloud-based data solutions.
Ensure data quality, security, and governance.
Collaborate with cross-functional teams to deliver data-driven solutions.
Troubleshoot production issues and implement performance improvements.

Preferred Qualifications

Experience with Delta Lake, Databricks, or Apache Iceberg
Knowledge of real-time data streaming and event-driven architectures
Relevant cloud certifications (AWS, Azure, or Google Cloud Platform) are a plus.

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: 10477291
Position Id: 9048809
Posted 1 day ago

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