Big Data Engineer

Build scalable data pipelines and process large-scale datasets

Core Technical Expertise

- Strong 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

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Big Data Engineer (Bengaluru)
🏢 Rupstech
📍 Bengaluru