
Data Solution Architect
1 day ago
Transforming Business with Scalable Data Solutions
You will play a pivotal role in designing, building and implementing data solutions that drive significant business value. Your experience will enable you to comprehend and dissect business requirements, translating them into precise technical specifications. As a vital link between business stakeholders and technical teams, you will ensure that the development process aligns seamlessly with the intended design and objectives.
Your key responsibilities include:
- Designing and operating scalable data engineering architecture solutions that facilitate data storage, integration, management, validation and security.
- Developing data flow diagrams for data engineering pipelines and consumption design for data engineering pipelines.
- Closely collaborating with data and analytics professionals, program teams, management and stakeholders to ensure seamless alignment of development processes with business objectives.
We are looking for individuals with knowledge in data pipeline development, including familiarity with Databricks, Azure Data Factory, AWS Kinesis, Spark, Airflow. Proficiency in transforming large complex data sets from source systems to target platforms is essential. We require evidence of experience in modern development practices including use of code repositories, code review processes and test frameworks.
Required Skills and Qualifications- Data pipeline development using Databricks, Azure Data Factory, AWS Kinesis, Spark, Airflow.
- Transforming large complex data sets from source systems to target platforms.
- Modern development practices including code repositories, code review processes and test frameworks.
This role offers an exciting opportunity to work with a talented team of professionals, develop your skills and expertise, and contribute to the success of our organization.
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