Data Engineering - Technical Lead

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. 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.

About the Role:

This position requiressomeone to work on complex technical projects and closely work with peers in an innovative andfast-paced environment. For this role, we require someone with a strong product design sense & specialized in Hadoop and Spark technologies.

Requirements:

4 to 8 years of experience in Big Data technologies.

The position Grow our analytics capabilities with faster, more reliabletools, handling petabytes ofdataevery day.

Brainstorm and create new platforms that can help in our quest to makeavailable to cluster users in all shapes and forms, with low latency and horizontalscalability.

Make changes to ourdiagnosing any problems across the entire technical stack.

Design and develop a real-time events pipeline forDataingestion for real-time dash-boarding.Develop complex and efficient functions to transform rawdatasources into powerful,reliable components of ourdatalake.

Design & implement new components and various emerging technologies in HadoopEco- System, and successful execution of various projects.

Be a brand ambassador for Paytm - Stay Hungry, Stay Humble, Stay Relevant!

Skills that will help you succeed in this role:

Fluent withStrong hands-on experience with Hadoop, MapReduce, Hive, Spark, PySpark etc.Excellent programming/debugging skills in Python/Java/Scala.

Experience with any scripting language such as Python, Bash etc.

Good to have experience of working with noSQL databases like Hbase, Cassandra.Hands-on programming experience with multithreaded applications.Good to have experience in Database, SQL, messaging queues like Kafka.

Good to have experience in developing streaming applications e.g. Spark Streaming,Flink, Storm, etc.Good to have experience with AWS and cloud technologies such as S3

Experience with caching architectures like Redis etc.

Why join us:

Because you get an opportunity to make a difference, and have a great time doing that.You are challenged and encouraged here to do stuff that is meaningful for you and for those we serve.You should work with us if you think seriously about what technology can do for people.We are successful, and our successes are rooted in our people's collective energy and unwavering focus on the customer, and that's how it will always be.

Compensation:

If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 21 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!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data Engineering - Senior / Lead Engineer