
Mastering Cloud Data Engineering
18 hours ago
About a software-enabled services provider focused on delivering superior, highly automated managed services to enterprise customers.
We are seeking an experienced cloud data engineer with a strong background in AWS, Azure, and GCP.
Key Responsibilities:- Design scalable ETL pipelines using cloud-native tools like AWS DMS, AWS Glue, Kafka, and others.
- Architect and implement data lakes and data warehouses on cloud platforms.
- Develop and optimize data ingestion, transformation, and loading processes.
- Implement ETL processes using various tools.
- Develop and optimize data processing jobs using Spark Scala.
- Integrate various data sources into the data lake.
- Ensure data quality and integrity through rigorous testing and validation.
- Perform data extraction from SAP or ERP systems when necessary.
- Monitor and optimize the performance of data pipelines and ETL processes.
- Implement best practices for data management, including data governance, security, and compliance.
- Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Collaborate with cross-functional teams to design and implement data solutions that meet business needs.
Remote work flexibility, training, state-of-the-art technology, and a collaborative team environment are offered by this company.
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