Role Purpose:

We are looking for a highly skilled and motivated Data engineering leader with 5-10 years of experience to join our growing team. You will create data pipelines to move data from source to data lake, Maintain the data lake, real time transform the data to uncover actionable insights and contribute to strategic decision-making across various departments. The ideal candidate will have strong analytical and programming skills, a solid understanding of data pipeline and programming logic, and the ability to collaborate effectively with cross-functional teams. You will be helping all application teams by providing data interface, also will be ensuring that data analytics team is getting required data for their initiatives

The responsibilities we entrust you

Own the

data engineering roadmap

– from streaming ingestion to analytics-ready layers. Lead and evolve our

real-time data pipelines

using

Apache Kafka/MSK ,

Debezium CDC , and

Apache Pinot . Design and maintain

custom-built Java/Python-based frameworks

for data ingestion, validation, transformation, and replication. Design and manage

data lakes

using

Apache Iceberg ,

Glue , and

Athena

over

S3 . Define and enforce

data modelling standards

across

Pinot ,

Redshift

and warehouse layers. Lead implementation and scaling of

open-source tools

and

orchestration platforms (Airflow) . Drive

cloud-native deployment

strategies using

ECS/EKS, Terraform/CDK, Docker . Collaborate with ML, product, and business teams to support advanced analytics and AI use cases. Mentor data engineers and evangelize modern architecture and engineering best practices. Ensure

observability, lineage, data quality, and governance

across the data stack.





Wha mattters in this role:

Must-Have: Proven expertise in

Kafka/MSK ,

Debezium , and

real-time event-driven architectures Hands-on experience with

Pinot ,

Redshift ,

RocksDB or noSQL DB Robust background in

custom tooling using Java and Python Experience with

Apache Airflow ,

Superset ,

Iceberg ,

Athena , and

Glue Strong AWS ecosystem knowledge (IAM, S3, Lambda, Glue, ECS/EKS, CloudWatch, etc.) Deep understanding of

data lake architecture ,

streaming vs batch processing ,

CDC

concepts Familiarity with modern data formats (Parquet, Avro) and storage abstractions Nice-to-Have: Exposure to

dbt ,

Trino/Presto ,

ClickHouse , or

Druid Familiarity with

data security practices ,

encryption at rest/in-transit ,

GDPR/PCI compliance Experience with

DevOps practices ,

GitHub Actions ,

CI/CD , and

Terraform/CloudFormation

Education Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Communication & Ownership: Strong communication, interpersonal, and conflict resolutio n skillsAble to work both independently and as part of team

Location: Sector 62, Noida

Things you should be comfortable with:

Working

from office: 5

days a week Pushing the

boundaries: Have a big idea? See something that you feel we should do but haven’t done? We will hustle hard to make it happen. We encourage out of the box thinking, and if you bring that with you, we will make sure you get a bag that fits all the energy you b ring along.

What we value inour people: You t ake the shot: You decide fast and d eliver right. You are the CEO o f what you do: You show ownership and make t hings happen. You sing your work li ke an artist: You seek to learn and take pride in thework you do.

📌 Lead Engineer - Data Engineering (Noida)
🏢 Pine Labs
📍 Noida