
Cloud Data Solutions Engineer
2 days ago
We are seeking an experienced Cloud Data Engineer to join our team. The ideal candidate will have strong backgrounds in AWS, Azure, and GCP, as well as extensive experience with cloud-native ETL tools like AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, and other ETL tools.
The successful candidate will be responsible for designing and developing scalable ETL pipelines using cloud-native tools, architecting and implementing data lakes and warehouses on cloud platforms, and developing and optimizing data ingestion, transformation, and loading processes using Databricks, Snowflake, Redshift, BigQuery, and Azure Synapse.
Key Responsibilities:
- Data Integration and Management
- Integrate various data sources into the data lake.
- Ensure data quality and integrity through rigorous testing and validation.
Requirements
To be successful in this role, you will need:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 7+ years of experience as a Data Engineer or in a similar role.
- Proven experience with cloud platforms: AWS, Azure, and GCP.
- Hands-on experience with cloud-native ETL tools.
- Experience in building and managing data lakes and warehouses.
- Proficiency with data platforms like Redshift, Snowflake, BigQuery, Databricks, and Azure Synapse.
Skills
You will also need:
- Strong programming skills in Python, Java, or Scala.
- Proficient in SQL and query optimization techniques.
- Familiarity with data modeling, ETL/ELT processes, and data warehousing concepts.
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