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Sr Data Engineer at PayPal

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

23 Jan, 26

Salary

0.0

Posted On

25 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Python, Java, Data Visualization, Tableau, Power BI, Looker, Data Modeling, Data Warehousing, ETL Design Patterns, Big Data Technologies, Hadoop, Spark, Cloud Platforms, GCP, BigQuery

Industry

Software Development

Description

Lead the design and development of complex data pipelines for data collection and processing. Develop and maintain advanced data storage solutions. Ensure data quality and consistency through sophisticated validation and cleansing processes. Implement advanced data transformation techniques to prepare data for analysis. Collaborate with cross-functional teams to understand data requirements and provide innovative solutions. Optimize data engineering processes for performance, scalability, and reliability. 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience. Your day to day work will include: Collaborate with BSA, domain teams and other stakeholders to gather requirements and translate them into technical solutions, including ETL pipelines and data visualizations Design, implement, and maintain CI/CD pipelines for data solutions Build BI dashboards based on business requirements Ensure data security, governance, and compliance with organizational standards Troubleshoot and debug data gaps, anomalies, and issues Bachelor/Master's degree in Computer Science/Engineering or equivalent 5+ years of experience in data engineering or related roles. Expertise in SQL Experience with programming languages such as Python or JAVA Experience with data visualization tools (Tableau, Power BI, Looker, or similar). Knowledge of data modeling, data warehousing and ETL design patterns Strong understanding of product development lifecycle and agile methodologies Experience with big data technologies (e.g. Hadoop, Spark, Hive) Experience with cloud platforms (e.g. GCP, BigQuery) Familiar with payment and fintech industry Innovative, creative and good learning capability, willingness to take initiatives and go beyond Strong collaboration skillsets

Responsibilities

Lead the design and development of complex data pipelines for data collection and processing. Collaborate with cross-functional teams to understand data requirements and provide innovative solutions.