Senior+ Data Engineer - On-site (Atlanta, USA).

Location: Atlanta, USA. This position requires on-site presence. Candidates currently residing in or willing to relocate to Atlanta are encouraged to apply. Join our dynamic team in a city renowned for its innovation and collaborative spirit.

Role Overview

We are searching for a highly experienced and motivated Senior+ Data Engineer to join our expanding team in Atlanta. This on-site role is pivotal in supporting our data infrastructure and ensuring the effective management of large-scale data systems. As a Senior+ Data Engineer, you will work at the forefront of data technology, optimizing data processes and implementing innovative solutions to meet our business objectives.

Key Responsibilities

• Design, develop, and maintain robust data pipelines and architectures.
• Collaborate with cross-functional teams to define data engineering strategies and requirements.
• Implement and optimize ETL processes to ensure seamless data flow and accessibility.
• Ensure data quality and integrity across multiple systems and platforms.
• Analyze and improve existing data frameworks to enhance efficiency and scalability.
• Mentor junior data engineers and promote data-driven best practices within the team.
• Stay updated with the latest trends and technologies in data engineering.

Skills Required

• At least 7 years of experience in data engineering or related fields, with a strong focus on data architecture and management.
• Proven expertise in SQL and NoSQL databases, such as MySQL, MongoDB, or Cassandra.
• In-depth knowledge of data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake.
• Experience with data processing frameworks such as Apache Spark, Apache Kafka, or Hadoop.
• Proficiency in programming languages like Python, Java, or Scala.
• Strong analytical and problem-solving skills, with the ability to work collaboratively in a team environment.
• Excellent communication skills, comfortable engaging with stakeholders at all levels.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Understanding of CI/CD pipelines and automated deployment processes.
• Ability to manage and organize large datasets for machine learning and analytics purposes.

Why Join Us?

Become part of a team where your technical expertise is valued and your professional growth is prioritized. Engage in cutting-edge projects and collaborate with a diverse group of professionals committed to innovation and excellence. We are dedicated to fostering an environment that encourages continuous learning and meaningful contributions.

Application Process

Ready to advance your career in data engineering? Apply now by following these steps:

1. Submit your application here!
2. Register and complete the initial interview at www.talentconnect.ai.

We look forward to welcoming talented individuals to our team and are excited for your contribution to our vision and success. Apply today and become a part of a leading technology company driving innovation from Atlanta!