About the job

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
Strong 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 havent 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.

Earn certifications in these skills

+ 1 more skills

Who can apply

Only those candidates can apply who:

1. have minimum 5 years of experience

Salary

Probation:

Duration:

Salary during probation:

After probation:

Annual CTC: Competitive salary

Number of openings

Editor’s note

Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.

Lead Engineer - Data Engineering