Data ETL Engineer

About The Role

• We are seeking an experienced individual to join our team and work on hot and in-demand skills in the field of Cloud Data Warehouses, ETL tools, MPP Data Warehouses, NoSQL Databases, Data Processing Frameworks, Containerization and Orchestration, DataOps & Governance Practices, and Streaming Platforms.
  
  

• Work on Cloud Data Warehouses such as Snowflake, AWS Redshift, Google BigQuery, and Databricks Delta.
• Utilize ETL tools like Ab Initio, Informatica Cloud, and Fivetran.
• Handle MPP Data Warehouses like Teradata, Netezza, and Oracle Exadata.
• Manage NoSQL Databases including MongoDB, Cassandra, SingleStore, and Cosmos.
• Utilize Data Processing Frameworks like Apache Spark, PySpark, Java Springboot with Spark, and dbt.
• Implement Containerization and Orchestration using Docker and Kubernetes (AKS, EKS, GKE).
• Implement DataOps & Governance Practices.
• Work with Streaming Platforms such as Apache Kafka.
  
  

• Proficiency in Cloud Data Warehouses, ETL tools, MPP Data Warehouses, NoSQL Databases, Data Processing Frameworks, Containerization and Orchestration, DataOps & Governance Practices, and Streaming Platforms.
• Experience with technologies such as Snowflake, AWS Redshift, Google BigQuery, Ab Initio, Informatica Cloud, Teradata, Netezza, Oracle Exadata, MongoDB, Cassandra, SingleStore, Cosmos, Apache Spark, PySpark, Java Springboot with Spark, dbt, Docker, Kubernetes, and Apache Kafka.
  
  

• Familiarity with other related technologies in the field.
• Ability to adapt to new technologies and tools quickly.
  
  

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Relevant certifications in Cloud Data Warehouses, ETL tools, Data Warehousing, Data Processing, Containerization and Orchestration, or related areas would be a plus.