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Data Engineering -Senior Data Engineer (CDP)

Uttar Pradesh, India (On-site)

Data Engineering -Senior Data Engineer (CDP)

11 Hours ago • 3 Years + • Data Analyst

About the job

15 skills required for this role

Test your skills to join the top 1% applicants for this job

java

scala

spark

sql

algorithms

back-end

cassandra

kubernetes

mongodb

spring-boot

aws

data-structures

python

docker

postgresql

Job Description

As a Senior Data Engineer at Paytm, you will build and maintain data pipelines for production systems, collaborating with engineers on backend services. You'll implement data schema improvements, provide KPI insights, and serve as a data infrastructure authority. Responsibilities include understanding user requirements, supporting continuous improvement, and maintaining live service. You'll ensure data architecture meets security and compliance standards. The role requires proficiency in Java/Scala, SQL, Airflow, Spark, Kafka, and experience with AWS/GCP. You'll design, develop, and maintain scalable data pipelines, ensuring data quality and integrity. You'll also collaborate with data scientists and analysts, optimize pipelines, and implement best practices for data management and security.

Must have:

Build scalable data pipelines
Proficient in Java/Scala, SQL
Experience with Spark, Kafka, Airflow
AWS/GCP expertise (4+ years)
Data quality and integrity
Data security and compliance

Good to have:

Experience with Apache Cassandra, MongoDB
Knowledge of Kubernetes, Docker
Microservices experience (Rest, Spring Boot, GRPC)

About Us:

Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners.

Job Summary: Build systems for collection & transformation of complex data sets for use in production systems Collaborate with engineers on building & maintaining back-end services Implement data schema and data management improvements for scale and performance Provide insights into key performance indicators for the product and customer usage Serve as team's authority on data infrastructure, privacy controls and data security Collaborate with appropriate stakeholders to understand user requirements Support efforts for continuous improvement, metrics and test automation Maintain operations of live service as issues arise on a rotational, on-call basis Verify whether data architecture meets security and compliance requirements and expectations .Should be able to fast learn and quickly adapt at rapid pace. java/scala, SQL,

Minimum Qualifications: Bachelor's degree in computer science, computer engineering or a related field, or equivalent experience 3+ years of progressive experience demonstrating strong architecture, programming and engineering skills. Firm grasp of data structures, algorithms with fluency in programming languages like Java, Python, Scala. Strong SQL language and should be able to write complex queries. Strong Airflow like orchestration tools. Demonstrated ability to lead, partner, and collaborate cross functionally across many engineering organizations Experience with streaming technologies such as Apache Spark, Kafka, Flink. Backend experience including Apache Cassandra, MongoDB and relational databases such as Oracle, PostgreSQL AWS/GCP solid hands on with 4+ years of experience. Strong communication and soft skills. Knowledge and/or experience with containerized environments, Kubernetes, docker. Experience in implementing and maintained highly scalable micro services in Rest, Spring Boot, GRPC. Appetite for trying new things and building rapid POCs"

Key Responsibilities :Design, develop, and maintain scalable data pipelines to support data ingestion, processing, and storage Implement data integration solutions to consolidate data from multiple sources into a centralized data warehouse or data lake Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications Ensure data quality and integrity by implementing robust data validation and cleansing processes Optimize data pipelines for performance, scalability, and reliability. Develop and maintain ETL (Extract, Transform, Load) processes using tools such as Apache Spark, Apache NiFi, or similar technologies .Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal downtimeImplement best practices for data management, security, and complianceDocument data engineering processes, workflows, and technical specificationsStay up-to-date with industry trends and emerging technologies in data engineering and big data.

Compensation:

If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 25 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it.

India’s largest digital lending story is brewing here.

It’s your opportunity to be a part of the story!

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