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Sr Data Engineer at PayPal

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipelines, Data Storage Solutions, Data Quality, Data Transformation, Java, Python, React, Angular, JavaScript, HTML, CSS, Oracle, MySQL, PostgreSQL, Hadoop, Spark

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. Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience. We are the Data Foundational Services (DFS) team within the Data Analytics and Intelligence Solutions (DAIS) organization. We support critical business use cases, ensuring high-quality, scalable, and reliable data solutions across the enterprise. 5-10 years of relevant work experience and a Bachelor's degree or equivalent experience. Software Development Expertise - Strong proficiency in back-end (Java or Python) technologies, including building and maintaining scalable services. Having front-end (React, Angular, JavaScript, HTML, CSS) experience is an advantage. Data Engineering & Cloud Technologies - Experience working with databases (Oracle, MySQL, PostgreSQL), Big Data technologies (Hadoop, Spark, Kafka, ElasticSearch/Solr), and cloud platforms (AWS, GCP, Azure). Scalability, Performance & Security - Deep understanding of designing systems for high availability, performance, and security, preferably in regulated industries like financial services.

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.