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Job Description

Description :

We are looking for a Data Engineer (SDE-1) to build and scale large-volume data pipelines (50TB+) powering our global SaaS products. The role involves working with cutting-edge tech like ElasticSearch, MongoDB, Spark, and Airflow, and solving complex problems using Python, NLP, and LLMs.

Responsibilities :

- Develop and maintain scalable data pipelines and ETL workflows.

- Work with ElasticSearch, MongoDB, SQL, and distributed systems (Spark, Kafka, Airflow).

- Collaborate with cross-functional teams to design efficient data solutions.

- Ensure data accuracy, quality, and performance across datasets.

- Write clean, maintainable, and modular Python code.

Requirements :

- B. Tech/M. Tech in Computer Science from Tier 1 or Tier 2 colleges.

- 1+ years of experience in Data Engineering or related roles.

- Strong in Python, SQL, Data Structures, and Algorithms.

- Hands-on with ElasticSearch, MongoDB, and cloud environments (AWS/Azure/GCP).

- Exposure to NLP, LLMs, or large-scale data systems is a plus.


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