Job Description
Educational
Educational
Educational
- Background in programming, databases and/or big data technologies OR
- BS/MS in software engineering, computer science, economics or other engineering fields
- 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 improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction transformation, and loading of 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
- Ensure 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
- 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
Educational
- Background in programming, databases and/or big data technologies OR
- BS/MS in software engineering, computer science, economics or other engineering fields
- 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 improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction transformation, and loading of 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
- Ensure 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
- 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
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ระดับประสบการณ์
ไม่เกี่ยวข้อง -
ประเภทการจ้างงาน
งานเต็มเวลา -
หน้าที่งาน
เทคโนโลยีสารสนเทศ -
อุตสาหกรรม
การประกันภัย
คำรับรองเพิ่มโอกาสในการสัมภาษณ์ของคุณที่ Chubb ได้ถึง 2 เท่า
ดูบุคคลที่คุณรู้จักรับการแจ้งเตือนเกี่ยวกับงาน Data Engineer ใหม่ใน Bangkok
ลงชื่อเข้าใช้เพื่อสร้างคำแจ้งเตือนงาน