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 settings
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
Solid 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

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Disclaimer: This job posting 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.

📌 Data Engineer E Stone Mumbai
🏢 e-stone information technology
📍 Mumbai