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Scala jobs in Mumbai, Maharashtra
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- e-Stone Information TechnologyAndheri, Mumbai, Maharashtra
- Design, build, and maintain scalable data pipelines for collecting, processing, and storing large volumes of business data.
- PagalguyMumbai, Maharashtra
- Develop high performance distributed services and systems for PaGaLGuY Products.
- Explore and implement new features at PaGaLGuY.
- DeltatreMaharashtra
- This role sits within the Vesper team at Deltatre — the platform responsible for delivering VOD and live events to users at global scale.
- Puma EnergyMumbai, Maharashtra
- Collaborate with data scientists and business stakeholders to design, develop, and maintain efficient data pipelines feeding into the organization's data lake.
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- AgodaMumbai, Maharashtra
- At Agoda, our Backend Engineering team builds high-scale, fault-tolerant distributed systems that power a global travel platform serving millions of users daily…
- Blenheim Chalcot IndiaMumbai, Maharashtra
- We are hiring Senior / Lead Engineers to design, build, and scale robust, production-grade data and platform systems for a product portfolio within Blenheim.
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- Priceline.comMumbai, Maharashtra
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- MicrosoftMaharashtra
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- NASDAQMumbai, Maharashtra
- You will design, implement, and productionize pricing and risk models used directly by our clients' trading desks.
- Skyleaf ConsultantsMumbai, Maharashtra
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- AccentureMaharashtra
- Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing.
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- LTMMumbai, Maharashtra
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- ClouderaMumbai, Maharashtra
- In this role you’ll have the opportunity to develop massively scalable solutions to solve complex data problems using Hadoop, NiFi, Spark and related Big Data…
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Data Engineer
Andheri, Mumbai, Maharashtra
Data Engineer
Job details
Pay information not provided
Andheri, Mumbai, Maharashtra
Full job description
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
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