<p><p><b>Description : </b><br/><br/>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.<br/><br/><b>Responsibilities : </b><br/><br/>- Develop and maintain scalable data pipelines and ETL workflows.<br/><br/></p><p>- Work with ElasticSearch, MongoDB, SQL, and distributed systems (Spark, Kafka, Airflow).<br/><br/></p><p>- Collaborate with cross-functional teams to design efficient data solutions.<br/><br/></p><p>- Ensure data accuracy, quality, and performance across datasets.<br/><br/></p><p>- Write clean, maintainable, and modular Python code.<br/><br/><b>Requirements : </b><br/><br/>- B.
Tech/M.
Tech in Computer Science from Tier 1 or Tier 2 colleges.<br/><br/></p><p>- 1+ years of experience in Data Engineering or related roles.<br/><br/></p><p>- Strong in Python, SQL, Data Structures, and Algorithms.<br/><br/></p><p>- Hands-on with ElasticSearch, MongoDB, and cloud environments (AWS/Azure/GCP).<br/><br/></p><p>- Exposure to NLP, LLMs, or large-scale data systems is a plus.</p><br/></p> (ref:hirist.tech)