Databricks 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 Proven Recruiting, so some details may not match this job. The employer's own page has the real description.

Job Overview

As a Databricks Engineer at Proven Recruiting, you will play a crucial role in enhancing our data analytics capabilities by designing and implementing scalable data solutions on the Databricks platform. You will collaborate with cross-functional teams to develop efficient data pipelines, optimize data workflows, and ensure data integrity and security while facilitating insights and analytical reasoning from complex datasets. Your expertise will contribute significantly to our clients' data ecosystems and drive informed business decisions across various sectors.

Job Responsibilities

• Design and develop data pipelines leveraging Databricks to ensure efficient data extraction, transformation, and loading (ETL) processes.
• Collaborate with data scientists and analysts to create robust data models that facilitate data-driven decision-making.
• Optimize performance and troubleshoot issues related to data processing and algorithms within the Databricks environment.
• Implement data governance and security best practices to safeguard sensitive information while ensuring compliance with regulatory standards.
• Maintain and integrate existing data processes while continuously enhancing system capabilities to adapt to changing business needs.
• Document data architecture, data flow, and processes to maintain transparency and support knowledge transfer across teams.
• Provide training and support to team members on data tools and applications, fostering a culture of continuous learning.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field; a Master’s degree is a plus.
• Proven experience working with Databricks and Apache Spark in a professional setting.
• Strong proficiency in programming languages such as Python, Scala, or SQL.
• Experience with data warehousing and ETL tools, such as Talend or Apache NiFi.
• In-depth understanding of data modeling concepts and best practices.
• Familiarity with cloud platforms like AWS, Azure, or GCP.
• Excellent problem-solving skills and ability to troubleshoot complex data-related issues.
• Strong communication skills, both written and verbal, to effectively convey technical information to non-technical stakeholders.

Technologies & Tools

This position primarily utilizes the Databricks platform along with various tools and technologies such as Apache Spark, SQL, Python, and cloud service providers like AWS, Azure, or Google Cloud Platform. Familiarity with data engineering tools such as Apache NiFi, Talend, or similar ETL frameworks is also expected. Knowledge of data visualization tools like Tableau or Power BI will be considered an asset to enhance reporting capabilities.

Ideal Candidates

The ideal candidate for the Databricks Engineer position will possess strong analytical acumen and a passion for data-driven solutions. They will be proactive, detail-oriented, and demonstrate excellent critical thinking skills. A team player who is comfortable collaborating with diverse groups, they should embrace new challenges and exhibit a willingness to learn continuously. Excellent communication skills and the ability to translate complex technical concepts to varied audiences are also essential for success in this role.