Data Engineer

e-stonetech; Mumbai; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

e-stonetech is hiring a Data Engineer in Mumbai to design, build, and maintain scalable data pipelines and ETL processes. You will collaborate with data scientists and backend teams to deploy ML models and data APIs, while enforcing data quality and security standards.

The role requires 4+ years in data engineering, strong Python/Scala/Java, SQL/NoSQL, and experience with Spark, Hadoop, Kafka, and cloud data services. Join a fast-growing team focused on scalable data solutions.

Qualifications

• Bachelor’s or Master’s degree in CS/Engineering or related field.
• 4+ years of experience in data engineering.
• Proficient in Python, Scala and/or Java.
• Expertise in SQL; experience with NoSQL (MongoDB, Cassandra).
• Experience with Spark, Hadoop, and Kafka.
• Cloud experience (AWS, GCP, or Azure) and their data services.
• Familiarity with data warehousing concepts and ETL.
• Experience with data warehousing solutions (Redshift, Snowflake).
• Knowledge of data modelling, architecture, and pipeline design.
• Version control (Git) and CI/CD.
• Excellent problem solving and attention to detail.

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
• 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

Data modeling

Data architecture

CI/CD

Git

ETL

Education

Bachelor’s or Master’s degree in Computer Science/Engineering

Tools

SQL

NoSQL (MongoDB/Cassandra)

Apache Spark

Hadoop

Kafka

AWS/GCP/Azure

Redshift/Snowflake

Job description

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
• 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