Data Engineer 3 4P/155

4P Consulting Inc.; Birmingham (AL); On-site; USD 90,000 - 130,000; Full time

Job summary

A leading company in data management seeks a Data Engineer to design and maintain scalable data pipelines. The role requires significant experience with SQL, Python, and data warehousing. Join a dynamic team where you will collaborate with various stakeholders to optimize data integration and reporting solutions.

Qualifications

• 5+ years of experience working with data in an enterprise environment.
• Proven experience with SQL queries and Python.
• Strong understanding of data modeling, ETL processes, and data warehousing.

Responsibilities

• Design, develop, and maintain scalable data pipelines and systems.
• Collaborate with cross-functional teams to understand data requirements.
• Optimize and troubleshoot SQL queries for performance and efficiency.

Skills

SQL

Python

Data modeling

ETL processes

Data warehousing

Problem-solving

Communication

Collaboration

Education

Bachelor’s degree in Computer Science, Information Technology, or a related field

Tools

Power BI

Oracle databases

AWS

Azure

Google Cloud

Hadoop

Spark

Kafka

Job description

Data Engineer

Location:[Birmingham]

Contract- 3 years

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience working with data in an enterprise environment.
• 5+ years of experience with SQL queries and Python.
• Proven experience with Power BI and Oracle databases.
• Strong understanding of data modeling, ETL processes, and data warehousing.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Ability to work independently and as part of a team.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and systems.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Optimize and troubleshoot SQL queries for performance and efficiency.
• Develop and maintain ETL processes using Python.
• Integrate and manage data from various sources, including Oracle databases.
• Create and maintain reports and dashboards using Power BI.
• Ensure data quality, integrity, and security.
• Perform data visualization and analysis to support business decisions.
• Stay up-to-date with the latest industry trends and technologies.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of big data technologies like Hadoop, Spark, or Kafka.
• Familiarity with data governance and compliance standards.