Data Engineering – IIT/NIT

Job Description

Role Overview :

We are looking for a Senior Manager Data Engineering to lead and scale a next-generation data platform. This role will drive the architecture and execution of real-time data systems, data lakes, and analytics infrastructure across cloud environments.

You will take ownership of an already established data ecosystem and elevate it to higher levels of scale, reliability, and innovation.

Key Responsibilities :

– Own and scale data lake & OLAP ecosystems (real-time to analytics layer)

– Lead development of real-time data pipelines using Kafka/MSK, Debezium (CDC), and BigQuery

– Drive end-to-end delivery of data engineering projects

– Build and enhance frameworks using Java & Python

– Design scalable data lakes using S3, Iceberg, Glue, Athena

– Define and enforce data modeling standards (BigQuery, Redshift)

– Lead cloud-native architecture (GCP + AWS) using ECS/EKS, Terraform, Docker

– Collaborate with ML, product & business teams for advanced analytics use cases

– Ensure data quality, governance, lineage, and observability

– Mentor and lead high-performing data engineering teams

Good to Have :

– Exposure to dbt, Pinot, Trino/Presto, ClickHouse, Druid

– Experience with data security (GDPR, PCI compliance)

– Knowledge of CI/CD, Terraform, DevOps practices

– Fintech / financial services background

What Were Looking For :

– Strong ownership mindset someone who acts like a CEO

– Ability to drive large-scale systems with business impact

– Excellent stakeholder management & leadership skills

– Passion for building scalable, future-ready data platforms

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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