Data Scientist

2 days ago

India Datamatics Financial Services Full time

IT Support and Technology
Full Time
India

**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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