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About the Job
We are looking for an experienced and technically strong Data Engineering Manager to join our team and drive the design, development, and evolution of modern data platforms.
The ideal candidate will have strong experience in data engineering, data architecture, real-time data processing, data lake platforms, and distributed data systems, along with the ability to lead technical initiatives and work effectively with cross-functional teams.
What You’ll Do
Lead the design and evolution of scalable data engineering platforms and pipelines, from ingestion through analytics-ready data layers.
Design and manage real-time data processing and event-driven architectures using Apache Kafka/MSK and Debezium CDC.
Build and maintain robust frameworks for data ingestion, validation, transformation, and replication using Java and/or Python.
Design, implement, and manage modern Data Lake architectures using Apache Iceberg, AWS Glue, Athena, and Amazon S3.
Design and maintain analytical data models using technologies such as Apache Pinot, Redshift, and BigQuery.
Drive the adoption of modern data orchestration and processing technologies, including Apache Airflow.
Implement scalable cloud-native solutions using AWS, ECS/EKS, Docker, and Terraform/CDK.
Work closely with engineering, analytics, product, and business teams to support data-driven initiatives.
Establish best practices around data quality, observability, lineage, governance, and reliability.
Provide technical leadership and mentorship to data engineering teams.
Must-Have Experience
10+ years of experience in Data Engineering, Data Architecture, or related roles
Strong hands-on experience in Apache Pinot
Proven experience designing and implementing Data Lake architectures
Strong experience with Apache Kafka / AWS MSK
Hands-on experience with Debezium and CDC
Strong understanding of real-time and event-driven data architectures
Hands-on experience with Apache Iceberg, AWS Glue, Athena, and Amazon S3
Experience with Apache Airflow
Strong programming experience in Java and/or Python
Experience with Redshift and/or BigQuery
Strong understanding of streaming and batch processing
Experience with modern data formats such as Parquet and Avro
Experience with cloud-native technologies such as ECS/EKS, Docker, and Terraform
Good to Have
Experience with dbt, Trino/Presto, ClickHouse, or Druid
Experience with NoSQL databases / RocksDB
Knowledge of CI/CD and DevOps practices
Experience with GitHub Actions and Terraform/CloudFormation
Understanding of data security, governance, and compliance
Experience working with FinTech or financial services environments
What We’re Looking For
Strong technical ownership and problem-solving skills
Experience designing and scaling production-grade data platforms
Strong communication and stakeholder management abilities
Ability to work effectively across engineering, product, analytics, and business teams
Work Details
Location: Noida
Work Mode: On-site
Working Hours: Monday–Friday
Engagement: Contract – 6 months, extendable
Interview Process: 2 rounds, both remote
Work arrangement
No
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