We are looking for a skilled Data Engineer- Azure Databricks to join our Data & Analytics team in the US or Canada. The ideal candidate will have extensive experience in data engineering, working with Databricks and Azure cloud services, designing and implementing scalable Azure Cloud data solutions. You will play a crucial role in the development, optimization and maintenance of data pipelines and architectures, ensuring the quality and the availability of critical data through our Data Lake platform. You can work independently and as part of a team, with a strong desire to help shape our Data & Analytics platforms and strategy.

Key Responsibilities

The function consists of different responsibilities:

Data Pipeline Engineering: Design, develop, and deploy robust and scalable data pipelines using Databricks, integrating data from various sources (databases, APIs, streaming platforms, etc.), transforming and cleaning data using SQL or Scala/Python and loading data into target systems (data lakes, data warehouses, etc.). Optimize pipeline performance for greater efficiency and cost-effectiveness.
Databricks Expertise: Use all the capabilities of the Databricks platform, including Databricks SQL, Delta Lake, Databricks Runtime, and Databricks Workflows, to orchestrate complex data workflows and ensure data quality and pipeline reliability.
Data Architecture and Modeling: Contribute to the design and implementation of robust data models in the data lake environment, ensuring data consistency, integrity and accessibility for various use cases.
Data Quality Assurance: Implement rigorous data quality controls and validation procedures throughout the data pipeline to ensure high accuracy and reliability. Comply with the data governance policies and best practices.
Cloud Integration: Seamlessly integrate Databricks with Azure cloud services for storage, compute and security, leveraging services like Azure Data Lake Storage.
Continuous Learning: Stay up to date on the latest Databricks features, cloud technologies, and data engineering trends to continuously improve our solutions and deliver innovative results for our business.
Collaboration and Communication: Work closely with data analysts, IT Front Line and business stakeholders to understand their data requirements and provide technical expertise on Databricks and data engineering best practices.

Performance Achievements

From the moment you start you will be proactive in obtaining good working relationships with your colleagues and external consultants, focusing on Azure Data Lake solutions.
You will be required to contribute to projects to ensure a stable and effective model around these Azure Data Lake solutions after a brief acclimation period.
We expect you to be familiar with the specific solutions in place after the incubation period.

Key Competence Requirements

You will need to have:

Bachelor's / Master’s degree in Computer Science, (Business) Engineering, or a specialized master’s in Machine Learning or AI.

Proven Experience:7+ years of experience in data engineering with demonstrated expertise in Databricks and a focus on Azure Cloud Analytics Services. Proficiency in Azure Data Factory and Azure SQL Database acquired with Azure Data Lake. 5+ years of experience with Azure DevOps (git) with a solid experience with CI/CD pipelines. Understanding of data governance, quality and security best practices.
Cloud Proficiency: Hands-on experience with Azure cloud platform with a good understanding of cloud data services and infrastructure.
Programming Skills: Strong programming skills in SQL, Python or Scala with experience in data manipulation libraries (e.g., PySpark, Spark SQL).
Data Fundamentals: Solid understanding of data warehousing principles, ETL processes, data modeling techniques and database systems.
SQL Expertise: Advanced SQL skills for querying, transforming and analyzing data.
Communication Skills: Excellent communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
Problem-Solving: Strong analytical and problem-solving abilities, with a proactive approach to identifying and resolving data challenges.
Excellent communication skills in English.

Preferred Skills:

Databricks certification (e.g. Data Engineer Professional)
Azure certification (e.g. Microsoft Certified: Azure Data Engineer Associate) is a plus.
Experience with Azure Logic Apps, Azure Functions, and API Management.
AI/ML experience (ability to develop predictive systems and deploy AI/ML models using Databricks & Microsoft tools)
Knowledge of Power BI or other data visualization tools.

Soft Skills:

Excellent analytical and problem-solving skills.
Highly organized, detail-oriented and able to work independently as well as collaboratively.

Applicants must be authorized to work in the U.S. without employment-based visa sponsorship (now or in the future). This includes H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visas).

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

The Pittsburgh Paints Co

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Data Engineer - Azure Databricks