Cloud Data Engineer

Cloud Data Engineer


WHAT WILL YOU DO

• Designing, coding and testing software modules/applications;
• Identifying, creating, preparing data required for modern BI solutions;
• Building BI solutions using existed cloud provided services;
• Creating and documenting the tests to meet requirements;
• Deploying BI solutions into cloud environments and integrating them with other components in the application;
• ?Maintaining, tuning and adapting applications to keep them performing to specifications.

• Experience in data engineering and cloud data processing services (AWS and Google Cloud Platform);
• Knowledge of SQL and Python, other languages are preferable (PySpark, Java);
• Good understanding of ETL tools like Glue, Dataflow, and data modelling (Other ETL tool like Informatica, ODI, SSIS);
• Interest or experience in Big Data technologies (Hadoop, Spark, Data Bricks, Snowflake);
• Data warehousing;
• Open mindset, ability to quickly adapt new technologies and learn new practice;
• Analytics Solution Architecture.

• Basic knowledge in data engineering and cloud data processing services (AWS and Google Cloud Platform);
• Basic knowledge of SQL and Python, other languages are preferable (PySpark, Java);
• Aware of ETL tools like Glue, Dataflow, and data modelling;
• Interest in Big Data technologies (Hadoop, Spark, Data Bricks, Snowflake);
• Basic knowledge in Data warehousing;
• Open mindset, ability to quickly adapt new technologies and learn new practice.

• Bachelors or master’s degree in Computer Science, related engineering field, or equivalent experience;
• Excellent verbal and written communication skills;
• Ability to work independently with little or no daily supervision;
• Strong analytical, communication and problem-solving skills;
• Excellent command of English language.

• AWS Certification;
• AWS Glue/DataFlow;
• AWS Redshift/BigQuery;
• Experience working on Cloud based infrastructure.