Data Engineer

e-Stone Information Technology Private Limited; Mumbai; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

e-Stone Information Technology Private Limited in Mumbai is seeking a Data Engineer with 5+ years of experience to design, build, and maintain scalable data pipelines for large volumes of business data. You will develop ETL processes from web scraping, APIs, and third-party sources, implement data quality checks, and collaborate with data scientists to deploy ML models in production.

Proficiency in Python/Scala/Java, SQL, NoSQL, Spark, Hadoop, Kafka, and cloud services (AWS/GCP/Azure) is

Qualifications

• 5+ years of data engineering or related experience.
• Bachelor’s or Master’s degree in CS/Engineering or related field.
• Strong programming in Python, Scala, or Java; SQL and NoSQL proficiency.

Responsibilities

• Design, build, and maintain scalable data pipelines for collecting, processing, and storing large volumes of business data
• Develop ETL processes to integrate data from various sources, including web scraping, APIs, and third-party data providers
• Implement data quality checks and monitoring systems to ensure data accuracy and integrity
• Optimize data storage and retrieval processes for high performance and scalability
• Collaborate with data scientists to implement machine learning models in production environments
• Work with the backend team to design and implement APIs for data access
• Collaborate with data scientists to develop and deploy machine learning models
• Implement data security and privacy measures to protect sensitive information
• Stay up to date with the latest big data technologies and best practices

Skills

Python

Scala

Java

SQL

NoSQL

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Tools

Apache Spark

Hadoop

Kafka

AWS

GCP

Azure

Job description

Recruitment

July 8, 2026

Data Engineer

Experience

5+ Years

Location

Mumbai (Andheri)

Responsibilities

• Design, build, and maintain scalable data pipelines for collecting, processing, and storing large volumes of business data
• Develop ETL processes to integrate data from various sources, including web scraping, APIs, and third-party data providers
• Implement data quality checks and monitoring systems to ensure data accuracy and integrity
• Optimize data storage and retrieval processes for high performance and scalability
• Collaborate with data scientists to implement machine learning models in production environments
• Work with the backend team to design and implement APIs for data access
• Collaborate with data scientists to develop and deploy machine learning models
• Implement data security and privacy measures to protect sensitive information
• Stay up to date with the latest big data technologies and best practices

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 4+ years of experience in data engineering roles
• Strong programming skills in Python, Scala and/or Java
• Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra)
• Proficiency with big data technologies such as Apache Spark, Hadoop, and Kafka
• Experience with cloud platforms (AWS, GCP, or Azure) and their data services
• Familiarity with data warehousing concepts and ETL processes
• Experience with data warehousing solutions (e.g., AWS Redshift, Snowflake)
• Knowledge of data modelling, data architecture, and data pipeline design
• Experience with version control systems (e.g., Git) and CI/CD practices
• Excellent problem-solving skills and attention to detail

Preferred Qualifications

• Experience in the B2B data or sales intelligence industry
• Familiarity with web scraping techniques and tools
• Knowledge of data privacy regulations (e.g., GDPR, CCPA)
• Experience with real-time data processing and streaming architectures