Job Description
Role Purpose:
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nWe 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
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n The responsibilities we entrust you
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- Own the data engineering roadmap – from streaming ingestion to analytics-ready layers.n
- Lead and evolve our real-time data pipelines using Apache Kafka/MSK , Debezium CDC , and Apache Pinot .n
- Design and maintain custom-built Java/Python-based frameworks for data ingestion,



validation, transformation, and replication.n
- Design and manage data lakes using Apache Iceberg , Glue , and Athena over S3 .n
- Define and enforce data modelling standards across Pinot , Redshift and warehouse layers.n
- Lead implementation and scaling of open-source tools and orchestration platforms (Airflow) .n
- Drive cloud-native deployment strategies using ECS/EKS, Terraform/CDK, Docker .n
- Collaborate with ML, product, and business teams to support advanced analytics and AI use cases.n
- Mentor data engineers and evangelize contemporary architecture and engineering best practices.n
- Ensure observability, lineage, data quality, and governance across the data stack.n

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n Wha mattters in this role:
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n Must-Have:
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- Proven expertise in Kafka/MSK , Debezium , and real-time event-driven architectures n
- Hands-on experience with Pinot , Redshift , RocksDB or noSQL D

📌 Lead Engineer (Noida)
🏢 Pine Labs
📍 Noida