Big Data Engineer

RupsTech Pvt Ltd.; India; On-site; INR 1,400,000 - 1,800,000; Full time

Job summary

RupsTech Pvt Ltd. in India seeks a data engineer to build scalable data pipelines and process large-scale datasets. You will collaborate with data scientists and analysts to implement ETL workflows, ensuring data quality across platforms.

Experience with big data tools and real-time streaming is preferred; strong analytical thinking and teamwork are essential for delivering reliable data infrastructure.

Qualifications

• Bachelor’s in Computer Science, Data Engineering, or related field.

Responsibilities

• Build scalable data pipelines and process large-scale datasets

Skills

Big data ecosystems

Distributed systems

Spark

Hadoop

ETL pipelines

Real-time streaming

Kafka

Flink

Data modeling

Data quality

Analytical thinking

Team collaboration

Education

Bachelor’s in Computer Science / Data Engineering

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