Big Data Engineer

RupsTech Private Limited; India; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

RupsTech Private Limited in India is seeking a skilled Data Engineer to build scalable data pipelines and process large-scale datasets. You will work with data scientists and analysts to ensure data quality, reliability, and timely delivery, leveraging Hadoop, Spark, Kafka and Flink to support real-time streaming and batch processing.

Strong knowledge of big data ecosystems, distributed systems, and data modeling will be essential, as will hands-on project experience and a commitment to scalable

Qualifications

• 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.

Responsibilities

• Build scalable data pipelines and process large-scale datasets.
• Work with data scientists and analysts.
• Ensure data quality and reliability.
• Design and maintain scalable data pipelines.
• Process large datasets efficiently.

Skills

Big data

Distributed systems

ETL pipelines

Data modeling

Real-time streaming

Data pipelines design

Data processing at scale

Collaboration

Problem solving

Analytical thinking

Education

Bachelor's degree in Computer Science, Data Engineering, or related field

Tools

Hadoop

Spark

Kafka

Flink

Job description

Build scalable data pipelines and process large-scale datasets

• 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
• Kafka, Flink (stream processing)
• Design and maintain scalable data pipelines
• Process large datasets efficiently
• Work with data scientists and analysts
• Ensure data quality and reliability
• Strong analytical thinking
• Problem-solving mindset
• Team collaboration skills

Eligibility & Conditions

• 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