Data Engineer
Your role description;
Have you heard about AI, Machine Learning, Big Data Analytics? Join together to be a part of building team for the Big Data Analytics and AI platform.
To be a part of turning the organization data to be monetized business outcome. You will learn and have experience to work with our Senior Data Engineer and Data Engineer from the world class of Big Data and AI software partner e.g. Cloudera, Hortonworks, EMC/ Pivotal, Informatica, Qlik, Azure, Google, AWS, …
Responsibilities;
You will never be a routine development for Analytics platform, that’s why new generation love it here, below are wrap-up responsibility
- Take Hadoop and Eco-system, in-house training on-line training or partner training and get certificate
- Build Big Data Analytics Cluster
- Assessment and Integration Existing Customer data source system
- Review or revisit customer data (Data Profiling)
- Design, implement and deploy ETL/ELT to load data into Hadoop
- Implementation of end-to-end Big Data solutions, including data acquisition, storage, transformation, and analysis.
- Knowledge Transfer to customer and operation support team
Qualifications;
- Bachelor’s degree or higher in Computer Engineering or Computer Science, Mathematics, Statistics or IT related fields
- Passion and enthusiastic
- Positive Thinking
- Good Communication and presentation skill
- Understand Data Warehouse and ETL concept
- Minimum 1 year of developing Python or PySpark or shell script
- Minimum 1 year of building and coding applications using Hadoop components – HDFS, Hive, Sqoop, Flume etc
- Minimum 2 year implementing relational data models
• Minimum 2 year understanding of traditional ETL tools & RDBMS
Your special qualifications will have positive effect with salary;
- Full life cycle Development
- Minimum 1 year of experience Developing REST web services
- Industry experience one of these (Banking or Financial, Telecom, healthcare, government, )
- Experience leading teams
- Data security method