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Unlock Business Potential with Scalable Data Solutions
2 weeks ago
Data engineering is a high-growth field that plays a pivotal role in the analytics landscape. As a data engineer, you will design, build and operate scalable data solutions that drive significant business value.
">The OpportunityCollaborating closely with other data and analytics professionals, program teams, management, and stakeholders, you will play a key role in shaping the organization's analytics capabilities. You will be responsible for designing, building, and operating scalable data solutions that facilitate data storage, integration, management, validation, and security across the entire data asset lifecycle.
Key Responsibilities:- Develop clear explanations of data engineering options to both technical and senior business stakeholders.
- Design, build, and operate scalable on-premises or cloud data engineering architecture solutions.
- Coordinate the work of junior colleagues or team members to ensure structure and focus on achieving team goals.
- Develop data flow diagrams for data engineering pipelines and consumption design.
We are looking for candidates with experience in data pipeline development, including familiarity with various technologies such as Databricks, Azure Data Factory, AWS Kinesis, Spark, and Airflow. Proficiency in transformation of large complex data sets from source systems to target platforms, with experience in Azure and AWS based solutions using one or more data engineering or data platform technologies required.
Evidence of experience in modern development practices, including use of code repositories, code review processes, and test frameworks.
