AI-generated summary
This job is for a Senior Data Engineer located in Kuala Lumpur, focusing on data extraction, pipeline development, and innovation using cloud services. You might like this job because it offers hands-on experience with various data platforms and tools.
Undisclosed
Full-Time
few hours ago
Senior Data Engineer
Important Information
Location: Kuala Lumpur
Experience: 5- 8 years
Job Mode: Contract
Work Mode: On-site
DESCRIPTION OF MAIN TASKS / RESPONSIBILITIES:
Data extraction services
• Execute ad-hoc, monthly and quarterly data extraction services as required by internal/external clients and in accordance with services SLA
• Perform QA activities related to client data services
• Execute data analysis to provide insight for internal/external needs
• Automate recurrent data related activities
• Ensure zero non-compliances on process audit on data security and compliance
Data pipeline development and operationalization
• Design data pipelines to ingest data from multiple sources and implement quality processes
• Design processes to create data insight, data features and operationalize analytics models
• Develop and implement those data pipelines
• Maintain and develop the cloud services relating to data pipelines
• Operationalize data pipelines for automated and semi-automated execution
• Implement reporting of data universe, data quality across the organization
• Implement Dashboard and reports based on stakeholder requirements
• Ensure zero non-compliances on process audit on data security and compliance
Data platform innovation
• Support key initiatives including migration of data services to the cloud
Technical Skills Required
• product / software development
• Hands on working experience on Data Strong knowledge of data platforms, data pipelines, data related development including platforms such as Hadoop, Spark, Jupyter, cloud native services
• Hands on experience on cloud services and knowledge of data related cloud native services (AWS).
• AWS Glue ( Data Integration)
• AWS EMR ( Managed Cluster Platform)
• tools and programming languages required to implement data pipelines: SQL, Python / Pandas
• tools required to implement automation and monitoring: Shell scripts, scheduling tools such as AirFlow
• ETL tools such as Talend and/or cloud native services
• Experience implementing reporting using a data platform or reporting software(QuickSight, Power BI,etc.)
About Encora
Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Encora prioritizes your well-being with AIA medical coverage from day one, including outpatient care and hospitalization for your health needs.
We offers 12 days annual leave and 14 days medical leave, both pro-rated and earned monthly as part of the employee benefits package.
Encora offers competitive compensation, flexible work arrangements, remote work, and support for personal well-being.