Unlock Your Potential as a Data Engineering Expert
Empower data-driven innovation and take your career to new heights.
* Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Services.
* Build high-performance data processing solutions with Apache Spark (PySpark) on Azure Databricks.
* Collaborate with data scientists, analysts, and business stakeholders to drive data-driven decision making.
In this role, you will optimize data workflows/pipelines for performance and cost efficiency in a cloud environment, implement best practices around data security, governance, and compliance, and develop CI/CD pipelines for data engineering workflows. You will also monitor, troubleshoot, and enhance existing data solutions for reliability and performance, document design patterns, best practices, and operational procedures, and participate in professional development and constant evolution of your skills.
The ideal candidate has experience with columnar and table formats (Parquet, Delta, Hudi, Iceberg), Data Quality tools (Great Expectations, Soda), and knowledge of Step Functions, EventBridge, or Kinesis. They should also have soft skills such as good communication and teamwork, proactivity in problem-solving, and ability to handle agile environments and rapid changes.
This is a fantastic opportunity to grow professionally and contribute to the success of our organization through innovative data engineering solutions.