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Senior Cloud Architect
2 weeks ago
Job Title:
Cloud Data EngineerAs a Cloud Data Engineer, you will design and develop scalable data pipelines using cloud-native tools. You will architect and implement data lakes and data warehouses on cloud platforms, developing and optimizing data ingestion, transformation, and loading processes.
Key Responsibilities:
- Design, develop, and maintain scalable ETL pipelines using cloud-native tools.
- 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.
Required Skills:
- 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, GCP Dataflow.
- Experience with other ETL tools like Informatica, SAP Data Intelligence.
- Experience in building and managing data lakes and data warehouses.
- Proficiency with data platforms like Redshift, Snowflake, BigQuery, Databricks, and Azure Synapse.
- Strong experience with Spark and Scala for data processing.
Benefits:
- 100% remote work.
- Flexibility.
- Training opportunities.
- State-of-the-art tech.
- Collaborative team environment.
What We Offer:
- A collaborative team environment where you can share your ideas and grow professionally.
- Flexible working hours to ensure work-life balance.
- Professional development opportunities through training and mentorship.
- Access to cutting-edge technology and tools to help you excel in your role.
We Are Looking For:
- Highly skilled and experienced professionals who are passionate about delivering exceptional results.
- Team players who can collaborate effectively with cross-functional teams.
- Individuals who are adaptable and committed to continuous learning.