
Senior Cloud Data Architect
3 days ago
About this role:
- We are looking for an experienced Cloud Data Engineer to join our team. The ideal candidate will have extensive experience with cloud-native ETL tools and a strong background in AWS, Azure, and GCP.
Key Responsibilities:
- Design, develop, and maintain scalable ETL pipelines using cloud-native tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, and GCP Dataflow.
- Architect and implement data lakes and data warehouses on cloud platforms like AWS, Azure, and GCP.
- Develop and optimize data ingestion, transformation, and loading processes using Databricks, Snowflake, Redshift, BigQuery, and Azure Synapse.
- Implement ETL processes using tools like Informatica, SAP Data Intelligence, and others.
- Develop and optimize data processing jobs using Spark Scala.
Requirements:
- 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 such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, and GCP Dataflow.
- Experience with other ETL tools like Informatica, SAP Data Intelligence, etc.
- Experience in building and managing data lakes and data warehouses.
- Proficiency with data platforms like Redshift, Snowflake, BigQuery, Databricks, and Azure Synapse.
- 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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