Data Engineer

• Partner with Data Architect and Data Integration Engineer to enhance/maintain optimal data pipeline architecture aligned to published standards​
• Assemble medium, complex data sets that meet functional /non-functional business requirements​
• Design and implement internal process improvemets: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.​
• Build the infrastructure required for optimal extraction transformation, and loading data from a wide variety of data sources ‘big data’ technologies​
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics​
• Work with stakeholders including Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs​
• Ensuring technology footprint adheres to data security policies and procedures related to encryption, obfuscation and role based access​
• Create data tools for analytics and data scientist team members 

What you’ll bring to the role

• Background in programming, databases and/or big data technologies OR​
• BS/MS in software engineering, computer science, economics or other engineering fields
• Knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc​
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements​
• In depth knowledge of data engineering discipline​
• Extensive experience working with Big Data tools and building data solutions for advanced analytics
• Minimum of 5+ years' hands-on experience with a strong data background​
• Solid programming skills in Java, Python and SQL​
• Clear hands-on experience with database systems - Hadoop ecosystem, Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB)​
• Practical knowledge across data extraction and transformation tools - traditional ETL tools (e.g. Informatica, Ab Initio, Altryx) as well as more recent big data tools​

 

We offer in return!

• Global organisational stability

• Opportunity to work with talented people from different countries and backgrounds
• Modern and well-designed working environment
• Comprehensive medical and well-being support for employees and their families
• Convenient office location with easy access to BTS and MRT