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Data Engineer for a Leading MNC - Singapore - KERRY CONSULTING PTE. LTD.
Description
Roles & ResponsibilitiesData Engineer for a Leading MNC (Day Rate Contract)
Job posting done by Sheralynn Tjioe, Head of Interim and Contracting Solutions (Technology) Recruitment at Kerry Consulting
Email:
My Client is a leading stable firm in Singapore.
Responsibilities:
• Develop and maintain data pipelines responsible for extracting, transforming, and loading (ETL) data from various sources into a central storage system, such as a data warehouse or data lake.
• Integrate data from multiple sources and systems, including databases, APIs, log files, streaming platforms, and external data providers.
• Create data transformation routines to clean, normalize, and aggregate data, ensuring it is ready for analysis, reporting, or machine learning tasks.
• Contribute to the development of common frameworks and best practices for code development, deployment, and automation/orchestration of data pipelines.
• Implement data governance in accordance with company standards.
• Collaborate with Data Analytics and Product leaders to establish best practices and standards for developing and deploying analytic pipelines.
• Work with Infrastructure leaders to advance the data and analytics platform's architecture, exploring new tools and techniques that leverage the cloud environment (e.g., Azure, Databricks, others).
• Monitor data pipelines and systems, promptly detecting and resolving issues. Develop monitoring tools, alerts, and automated error handling mechanisms to ensure data integrity and system reliability.
Requirements:
Must haves
• Minimum 3 years of proven experience in a Data Engineering role, with a strong record of delivering scalable data pipelines.
• Extensive experience designing data solutions, including data modeling.
• Hands-on experience developing data processing jobs (PySpark / SQL) demonstrating a solid understanding of software engineering principles.
• Experience orchestrating data pipelines using technologies like ADF, Airflow, etc.
• Experience working with both real-time and batch data.
• Experience building data pipelines on Azure, with AWS data pipeline experience considered beneficial.
• Proficiency in SQL (any flavor), with experience using Window functions and other advanced features.
• Understanding of DevOps tools, Git workflow, and building CI/CD pipelines.
Nice to Have
• Domain knowledge of commodities, encompassing Sales, Trading, Risk, Supply Chain, Customer Interaction, etc.
• Familiarity with Scrum methodology and experience working in a Scrum team.
• Experience with streaming data processing technologies such as Apache Kafka, Apache Flink, or AWS Kinesis.
To Apply
For a confidential chat regarding your next Technology role, please submit your resume (in MS Words format) to Sheralynn Tjioe at , quoting the job title. We regret that only shortlisted candidates will be contacted.
Registration No.: R1878306
License No.: 16S8060
Git
Data Ingestion
PySpark
Airflow
Python scripting
Azure
Data Modeling
Customer Interaction
Pipelines
Data Pipeline
Scrum
Data Transformation
Software Engineering
Scripting
Data Governance
Reliability
Data Engineering
SQL
Apache Kafka
Apache
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