Lead Data Engineer

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by Alpine Solutions Group, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Lead Data Engineer at Alpine Solutions Group will play a crucial role in shaping and implementing our data strategy. This position encompasses the design, development, and maintenance of our data architecture and ensures the integrity and efficiency of data processing systems. The Lead Data Engineer will collaborate with cross-functional teams to support data initiatives and provide expertise in data integration, storage, and analysis, thereby enabling the organization to leverage data-driven insights for strategic decisions.

Job Responsibilities

• Design and implement scalable data models and pipelines to handle large volumes of data.
• Collaborate with data scientists and analysts to understand their data requirements and translate them into technical specifications.
• Ensure data quality and integrity through thorough testing and validation processes.
• Oversee the implementation of ETL processes to gather and structure data from multiple sources.
• Monitor and optimize data processing performance and storage solutions.
• Stay current with emerging technologies and best practices in data engineering and analytics.
• Mentor and lead junior data engineers to promote a culture of continuous learning and improvement.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field; Master’s degree preferred.
• A minimum of 5 years of professional experience in data engineering or related roles.
• Proficiency in SQL and experience with NoSQL databases such as MongoDB or Cassandra.
• Experience with programming languages such as Python, Java, or Scala.
• Familiarity with data warehousing solutions and big data technologies (e.g., Apache Hadoop, Spark).
• Knowledge of data pipeline and workflow management tools such as Apache Airflow or Luigi.
• Strong problem-solving skills and the ability to work independently as well as part of a team.

Technologies & Tools

The Lead Data Engineer will utilize a variety of technologies and tools to execute their tasks efficiently. This includes relational and NoSQL databases, cloud services (e.g., AWS, Azure or Google Cloud), data processing frameworks (Apache Hadoop, Spark), ETL tools, and data visualization software. Familiarity with automation tools and analytics platforms is also essential to streamline data extraction and processing workflows.

Ideal Candidates

The ideal candidate for the Lead Data Engineer position is a proactive individual with a strong analytical mindset and an enthusiasm for technology and data. They should demonstrate exceptional leadership capabilities, an aptitude for mentorship, and a passion for fostering a collaborative environment. The right candidate will be adaptable to changing priorities, possess excellent communication skills, and have a genuine interest in driving data innovations that support business objectives.