Data Engineer

GetJobSmart; Atlanta (GA); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Paid time off

Job summary

Northwind West Solutions in Atlanta, GA is seeking a Data Engineer to design, develop, and maintain data infrastructure, including pipelines, databases, data warehouses, and data lakes. You will ensure data quality and collaborate across teams to deliver scalable data solutions.

The ideal candidate has a bachelor's degree in Computer Science or Data Engineering, strong SQL and Python skills, and experience with big data tools such as Hadoop and Spark, plus cloud platforms (AWS/Azure/GCP).

Qualifications

• Bachelor's degree in CS/Data Engineering or related field.
• Proven experience as a Data Engineer with data modeling, ETL and warehousing expertise.
• Proficiency in SQL, Python and at least one big data tech (Hadoop, Spark).

Responsibilities

• Design, develop, and maintain data infrastructure (databases, data warehouses, data lakes).
• Implement data pipelines to extract, transform, and load data from various sources.
• Optimize data storage and retrieval for performance and scalability.
• Collaborate with cross-functional teams and stakeholders to ensure data quality.

Skills

Data modeling

ETL

Data warehousing

Education

Bachelor's degree in Computer Science, Data Engineering, or related field

Tools

SQL

Python

Hadoop

Spark

AWS

Azure

GCP

Job description

Northwind West Solutions, a leading technology company, is seeking a Data Engineer in Atlanta, GA. This full-time position offers competitive compensation and a comprehensive benefits package.

As a Data Engineer, you will design, develop, and maintain data infrastructure. Your tasks include data pipeline creation, database management, and ensuring data quality and integrity.

You will work in a dynamic team environment within our Atlanta office, collaborating closely with colleagues on diverse projects. Your tasks will involve brainstorming, problem-solving, and implementing innovative solutions, utilizing a variety of tools and technologies. Our workplace culture fosters collaboration and innovation, with opportunities for professional growth, including mentorship programs, training sessions, and workshops. You will be expected to meet high standards of quality and efficiency, and to adapt to changing project requirements and priorities. The office environment is modern and well-equipped, with open spaces that encourage interaction and idea-sharing. You will have access to the latest software and hardware, as well as resources for continuous learning and development.

The salary range for this role is $90,000 to $120,000 per year, plus comprehensive benefits including health insurance, retirement plans, and paid time off. The position offers a competitive compensation package that reflects the responsibilities and skills required for the role. Employees in this position can expect to perform a variety of tasks, utilizing a range of tools and technologies to support their work. The workplace is designed to foster productivity and collaboration, with modern facilities and equipment to support the daily tasks. The role requires a strong educational background, typically a bachelor's degree, and relevant experience in the field. Candidates should be proactive, detail-oriented, and able to work well both independently and as part of a team.

To excel in this role, you need a bachelor's degree in Computer Science, Data Engineering, or a related field. Experience with SQL, Python, and big data technologies is essential.

by May 31, 2023.

• Design, develop, and maintain data infrastructure, including databases, data warehouses, and data lakes.
• Implement data pipelines to extract, transform, and load data from various sources into our data systems.
• Optimize data storage and retrieval processes to ensure efficient performance and scalability.
• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• Proven experience as a Data Engineer, with a strong understanding of data modeling, ETL processes, and data warehousing.
• Proficiency in SQL, Python, and at least one big data technology (e.g., Hadoop, Spark).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Strong problem-solving skills and the ability to work collaboratively in a team environment.