Data Engineer

Data Engineer

Data Engineer Bangkok, Thailand Be the First to Apply

Job Description 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 and non-functional business requirements. Design and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning 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 science team members.

Qualifications

• 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.

• Hands-on experience with database systems - Hadoop ecosystem, Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. SAP HANA, Hazelcast, 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, Alteryx) 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