PayPal Data Engineer 

India, Tamil Nadu, Chennai 

548283619

What you need to know about the role

Job Description:

You will contribute to designing, coding, testing, push it to live, own the component and improving the performance of the component in live.

Your day to day

• Building highly scalable backend data pipeline with high throughput in GCP using BigQuery and Dataproc.

• Write and maintain pipelines in Python framework

• Write efficient and optimized code to ingest data feeds from multiple SoR systems using Python or Java

• Writing spark job which will read data from backend payments SOR feed into our data pipeline

• Building batches using Spring Framework which deals payments data

• Building REST services using Spring framework which reads the data from SOR, perform business logic, and expose the output data to client in REST API (API development knowledge is a plus)

• Scheduling jobs using UC4, airflow

What do you need to bring-

• 5+ years of experience in the IT industry, experience in Data Technology space is preferred.

• Proficiency in any programming language like Python

• Working experience in any MPP systems, should have strong SQL programming skills.

• Knowledge of data warehousing concepts

• Working knowledge on Big Data, Cloud databases, Streaming Integrations

• Good hand on experience with any cloud like GCP, AWS, etc.

• Excellent written and oral communication skills

• Strong analytical skills including the ability to define problems, collect data, establish facts, and draw valid conclusions.

• Expertise in database programming and performance tuning techniques

• Familiar with data movement techniques and best practices to handle large volumes of data.

• Experience with data warehousing architecture and data modeling best practices

• Experience with File Systems, server architectures, and distributed systems

• Strong communication skills and willingness to take initiative to contribute beyond basic responsibilities.

• Working experience in an Agile methodology is highly preferred.

• Knowledge of Hadoop, Spark, HBase and Hive is highly preferred.

• Knowledge and Working experience on Cloud platforms is highly preferred.

• API development knowledge using sprint boot is an added advantage

Our Benefits:

Any general requests for consideration of your skills, please