We're Hiring - Senior Data bricks Data Engineer/Architect - REMOTE

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Overview

Akron Intel is seeking a highly skilled Senior Databricks Data Engineer/Architect to lead and design robust data solutions in a remote working environment. The ideal candidate will be responsible for architecting and implementing data pipelines, optimizing data workflows, and collaborating with cross-functional teams to enhance data-driven decision-making processes. This role will also involve mentoring junior engineers and ensuring best practices in data governance and architecture are followed throughout the organization.

Job Responsibilities

• Design and implement scalable and efficient data pipelines using Databricks.
• Collaborate with data scientists and business stakeholders to translate requirements into data solutions.
• Optimize data processing workflows to enhance system performance and reliability.
• Develop and enforce data governance and security policies across all data solutions.
• Mentor junior data engineers on best practices and advanced data engineering concepts.
• Conduct data modeling and architecture design to meet evolving business needs.
• Create documentation for data processes, architectures, and methodologies to ensure knowledge sharing.
• Stay updated with industry trends and emerging technologies to drive innovation within the team.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field. A Master’s degree is a plus.
• Minimum of 5 years of experience in data engineering, with at least 2 years of experience using Databricks.
• Proficient in SQL, Python, and Spark for data processing and transformation.
• Strong experience in cloud platforms such as Azure or AWS.
• Familiarity with data modeling and architecture best practices.
• Experience in building automated ETL processes and data pipelines.
• Excellent problem-solving and analytical skills.
• Strong communication skills and the ability to work collaboratively in a team environment.

Technologies & Tools

The Senior Databricks Data Engineer/Architect will utilize a variety of technologies and tools in their daily operations. Key technologies include Databricks for data processing and analytics, Apache Spark for big data processing tasks, and cloud services such as Azure Data Lake or AWS S3 for data storage. Additional tools may include SQL and Python for data manipulation, Git for version control, and CI/CD pipelines for deployment automation.

Ideal Candidates

The ideal candidate will possess strong analytical and technical skills, along with a passion for data-driven decision making. They should demonstrate a proactive approach to problem-solving and be adaptable to the evolving landscape of data technology. Excellent communication and interpersonal skills are essential to effectively collaborate with diverse teams. Additionally, a commitment to continuous learning and improvement will make the candidate a valuable asset to Akron Intel.