Live opening · Posted 27 days ago

SDE 3 - Data Platform

Meesho · Bangalore
Instahyre 4-7 yrs
You are 27 days behind. JobBeeper subscribers saw this role while it was still new.

At a glance

The key details from the original listing.

Posted 27 days ago
CompanyMeesho
LocationBangalore
Experience4-7 yrs
SourceInstahyre
Listed27 days ago

Your early-applicant advantage

Live timing from JobBeeper.

Live data
0 min from Instahyre publishing this role to us finding it
14 min median time from a role going live to a subscriber being told
6 hours subscribers had this role before this page existed
17,147 roles found in the last 24 hours — the newest are not on this site yet
Start your free trial →

About the role

Description supplied by the original job listing.

We are seeking a skilled Data Platform Engineer to build and scale reliable data infrastructure and pipelines. You will enable analytics, product, and business teams by ensuring high-quality, performant, and accessible data across the organization.
The core responsibilities for the job include the following:
Data Platform and Pipelines:
Build and maintain ETL/ELT pipelines for structured and unstructured data.
Design, develop, and optimize batch and streaming pipelines using tools such as Kafka, Spark, or Flink.
Ensure data integrity, availability, and performance across data systems.
Design and optimize data models for analytics and product use cases.
Backend and Data Engineering:
Write clean, maintainable, production-grade code (preferably Python, Java, Go, or Ruby) to support: Data workflows, Internal data services, Integrations and automation
Build internal tooling to improve data reliability and developer productivity.
Collaboration and Delivery:
Partner with product, analytics, and engineering teams to define data needs and infrastructure requirements.
Contribute to cross-functional system design discussions and architectural reviews.
Ensure delivery of reliable infrastructure and data solutions that meet SLAs.
Quality and Best Practices:
Implement monitoring, alerting, and logging for data pipelines.
Write automated tests for data transformations and pipeline logic.
Drive best practices for scalability, cost efficiency, and data governance.
Requirements:
4-6 years of experience in data platform or data engineering roles.
Strong proficiency in SQL and experience with relational and NoSQL databases.
Hands-on experience with Airflow, DBT, Spark, or Flink.
Experience with streaming or batch data processing systems.
Proficiency in at least one programming language (Python, Go, or Java).
Familiarity with cloud platforms (AWS, GCP, or Azure).
Nice to Have:
Experience with real-time streaming (Kafka, Kinesis, Pub/Sub).
Exposure to data warehouses (Snowflake, BigQuery, and Redshift).
Experience operating data platforms in high-scale or fintech domains.
Understanding of data security, privacy, and compliance.

Experience
4-7 yrs

Get JobBeeper Mobile App

Never miss a job opening! Get instant job alerts on your phone.

Subscribers see fresh openings within minutes. Download the JobBeeper App on Google Play to get real-time push notifications and apply before anyone else.

⚡ Instant Push Alerts 🎯 Tailored Filters 🚀 Direct Employer Links
GET IT ON Google Play

More openings worth a look

Recently tracked roles with full details and direct application links.

6 roles
Good roles move before most people even see them. Tell JobBeeper what you want and get fresh matches delivered in minutes.
Start your free trial →
⚡ Get fresh job alerts 📱 Get App