07.Data Engineer

PayPay India

Gurugram,india
Onsite
Posted 2024-07-23

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Skills named in this job

Databricks
Spark
Scala
Airflow
Terraform
AWS
Kafka
LLMs
Observability
Python

Read from the description itself, not inferred.

This role on the market

9,845 open data roles across 979 companies are on ApplySarthi right now, most of them in Bengaluru (528), Hyderabad (358), Mumbai (161).

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What data roles keep asking for: Python (38%), SQL (34%), AWS (29%), Machine learning (19%), Spark (15%), Databricks (14%), Azure (13%), Stakeholder management (13%) — counted across their open postings here.

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PayPay India has 10 open roles listed here.

09.Senior Product Managerdelhi ncr
05. Sr.Technical Program Managerdelhi ncr
08.Corporate Legal Counseldelhi ncr
06.Engineering Manager (Java Background)delhi ncr
04.Product Designer(UX/UI)delhi ncr

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for data roles keep coming back to Python, SQL, AWS, Machine learning. Practise those questions before you sit with PayPay India .

Questions you are likely to be asked

Why do you want to join PayPay India?
What is your experience with Databricks? Tell me one thing you learned the hard way.
How would you explain your model's result to someone who is not technical?
What would you check first if a model's accuracy dropped after going live?
When would you not use machine learning for a problem?

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About PayPay India

PayPay, a fintech company providing a service enjoyed by over 75 million users since its launch in 2018 in Japan. The company is now home to a very diverse team of members from more than 50 countries. We grew to a team of several thousand employees in Japan but are far from over. We are still in the Day 1. Every day, new members join us from all over the world to create new value and deliver it to society.

Why India ?

To build our Payment services, we got technical cooperation from Paytm (A large payment service company in India). And based on their customer-first technologies , we created and expanded the smartphone payment service in Japan. Therefore, we have decided to establish a development base in India, because it is a major IT country with many talented engineers, as evidenced by the fact that cutting-edge mobile payments can continue to be generated.

OUR VISION IS UNLIMITED

We dare to believe that we do not need a clear vision to create a future beyond our imagination. PayPay will always stay true to our roots and realise a vision (future) that no one else can imagine by constantly taking risks and challenging ourselves. With this mindset, you will be presented with new and exciting opportunities on a daily basis and have the opportunity to grow and reach new dimensions that you could never have imagined.

Job Description

PayPay India is looking for a Data Engineer to work on our payment system to deliver the best payment experience for our customers. This platform is vital to support our increasing business demands. The Data Pipeline team is tasked with creating, deploying, and managing this platform, utilizing leading technologies like Databricks, Delta Lake, Spark, PySpark, Scala, and the AWS suite.

We are actively seeking skilled Data Engineers to join our team and contribute to scaling our platform across the organization.

Main Responsibilities

Create and manage robust data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform.
Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines.
Develop data processing workflows using Databricks, Delta Lake, and Spark technologies.
Maintain and improve the Data Lakehouse, utilizing Unity Catalog for efficient data management and discovery.
Construct automation, frameworks, and enhanced tools to streamline data engineering workflows.
Collaborate across teams to facilitate smooth data flow and integration.
Enforce best practices in observability, data governance, security, and regulatory compliance

Qualifications

Minimum 7 years as a Data Engineer or similar role.
Hands-on experience with Databricks, Delta Lake, Spark, and Scala.
Proven ability to design, build, and operate Data Lakes or Data Warehouses.
Proficiency with Data Orchestration tools (Airflow, Dagster, Prefect).
Familiarity with Change Data Capture tools (Canal, Debezium, Maxwell).
Strong command of at least one primary language (Scala, Python, etc.) and SQL.
Experience with data catalog and metadata management (Unity Catalog, Lakeformation).
Experience in Infrastructure as Code (IaC) using Terraform.
Excellent problem-solving and debugging abilities for complex data challenges.
Strong communication and collaboration skills.
Capability to make informed decisions, learn quickly, and consider complex technical contexts.

Leverage AI/LLM-based tools in daily workflows (e.g., code development, reviews, testing, debugging, documentation), while ensuring human oversight, judgment, and accountability drive the final product.

Remarks

＊Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate.

PayPay 5 senses

Please refer PayPay 5 senses to learn what we value at work.

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Listed on greenhouse · posted 2024-07-23. ApplySarthi collects openings and links to application pages; the role is advertised by PayPay India , not by us.