Cloud Data Engineer - Databricks on AWS / Scala

Key Responsibilities :

Design and Development  :

• Design, develop, and maintain scalable ETL pipelines using cloud-native tools (AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.).
• Architect and implement data lakes and data warehouses on cloud platforms (AWS, Azure, 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.

Data Integration and Management  :

Performance Optimization :

Collaboration and Communication  :

Documentation and Maintenance :

Education :

Experience :

Skills :

Preferred Qualifications :

Skills Required

Apache Spark, Hadoop, Devops, Sql, Programming Skills