Big Data Engineer

Build scalable data pipelines and process large-scale datasets

Core Technical Expertise
Robust knowledge of big data ecosystems and distributed systems
Experience with data processing frameworks (Hadoop, Spark)
Expertise in ETL pipelines and data engineering workflows
Knowledge of data modeling and database design
Experience with real-time data streaming

Tools Technologies
Apache Hadoop, Apache Spark
Kafka, Flink (stream processing)
SQL / NoSQL databases (MySQL, MongoDB, Cassandra)
Python / Java / Scala
Cloud Platforms: AWS (EMR), Azure, Google Cloud

Responsibilities
Design and maintain scalable data pipelines
Process large datasets efficiently
Work with data scientists and analysts
Optimize data processing performance
Ensure data quality and reliability

Soft Skills




Solid analytical thinking
Problem-solving mindset
Attention to detail
Team collaboration skills

Eligibility Conditions
Minimum age: 18+
Bachelor s in Computer Science, Data Engineering, or related field
Experience with big data tools is required
Hands-on project experience preferred
Commitment to building scalable data systems

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📌 Big Data Engineer Bengaluru (India)
🏢 Rupstech
📍 India