Data Engineer - INTL

An Azure Databricks Engineer is responsible for designing, developing, implementing, and maintaining data solutions within the Azure ecosystem. This role requires close collaboration with various teams to gather data requirements, build scalable data pipelines, and ensure the overall solution is reliable, available, and optimized for high performance.

Data Integration and ETL (Extract, Transform, Load):
Develop and maintain scalable data pipelines and ETL processes using Azure Databricks and other Azure services. These processes are designed to extract data from multiple sources, transform it into meaningful formats, and load it into data lakes or data warehouses.
A key aspect of this responsibility is ensuring that data is accurately cleaned, transformed, and loaded to enable consistent and reliable analytics and reporting.
Data Management and Storage:
Implement data storage solutions leveraging Azure Databricks and Azure Data Lake Storage
Your role involves designing data storage systems that scale, perform well, and meet the organization’s requirements.
Monitoring and Troubleshooting:
Implement monitoring and alerting systems to proactively detect and resolve issues within data pipelines.
Continuously oversee data storage and processing activities, ensuring optimal performance and addressing any operational challenges.
Perform performance tuning and optimization of Azure Databricks and other data processing tools.
Enhance data pipeline efficiency, reliability, and cost-effectiveness by applying best practices and aligning with industry standards.
Collaboration and Communication:
Azure Databricks Engineers actively engage with data scientists, business analysts, and other key stakeholders to align technical solutions with business goals.
Strong communication skills are essential for translating business requirements into effective technical implementations.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

-Bachelor’s degree in Computer Science, Engineering, or a related discipline.
-Demonstrated experience as a Data Engineer or in a similar role, with a strong track record of designing and implementing data solutions using Azure Databricks.
-Proficient in SQL, T-SQL, Python, or other relevant programming languages for data transformation and processing.
-Solid understanding of data integration strategies, ETL techniques, and data warehousing principles.

-Familiarity with tools such as Azure Databricks for big data processing, Power BI for data visualization, and Azure Stream Analytics for real-time data analysis.
-Familiarity with data security best practices and data governance frameworks

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.