
Cloud Data Architect Lead
1 week ago
Job Title:
Data Engineering Lead
In this key role, you will be responsible for leading the development and maintenance of large-scale data engineering pipelines. You will work closely with cross-functional teams to design, build, and optimize data ingestion, transformation, and loading workflows across cloud platforms.
Responsibilities:
- Design, develop, and maintain scalable data engineering solutions using Apache Spark, AWS Glue, Azure Data Factory, and other relevant technologies.
- Collaborate with data scientists, analysts, and application developers to support advanced analytics, reporting, and machine learning workflows.
- Implement job orchestration, monitoring, and error handling for reliable pipeline execution.
- Maintain and support existing data pipelines.
- Investigate and resolve issues related to data quality, validation, and loading.
- Tune job configurations for optimal performance.
- Analyze and address dependencies failures in workflows.
- Perform root cause analysis (RCA) and implement corrective actions.
Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Required Skills:
AWS Glue, ADF, Azure Data Lake, Apache Spark, PySpark, Scala, SQL, Python, Linux, DevOps, Cloud Computing.
Benefits:
This is an exciting opportunity to work with a talented team on challenging projects that make a real impact.
Other Information:
Please note that we are looking for someone who can start immediately. If you are a motivated individual with excellent problem-solving skills, please submit your application.
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