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78 Source Right Jobs
Data Scientist
6-12 years
Pune, Bangalore / Bengaluru
1 vacancy
Data Scientist
Source Right
posted 4d ago
Job Role Insights
Key skills for the job
Job Description
- 5+ years highly skilled Data Scientist, responsible for designing, developing, and maintaining large-scale data processing systems using cutting-edge technologies like Spark Streaming, Kafka, or similar technologies.
- The ideal candidate will have a strong background in object-oriented programming, data architecture, and cloud-based data management. The successful candidate will work closely with cross-functional teams to deliver complex data projects.
Your role:
- Implement Real-time Data Processing Solutions: Design, develop, and deploy real-time data processing solutions using Spark Streaming and/or Kafka to handle high-volume, high-velocity data streams.
- Stream Processing Frameworks: Ability to develop / work on / maintain a near real-time stream processing frameworks to handle high-volume, high-velocity data streams, leveraging Spark Streaming and/or Kafka.
- Advanced Data Storage: Knowledge of advanced data storage formats like Apache Hudi or Apache Iceberg to optimize data storage, management, and retrieval.
- Code Quality and Maintainability: Develop and maintain high-quality, maintainable code using object-oriented programming principles, ensuring scalability, efficiency, and reliability.
- ETL Process Design and Implementation: Experience with designing and implementing ETL (Extract, Transform, Load) processes managing data pipelines, data transformation, and data loading.
- Collaboration and Communication: Collaborate with cross-functional teams, including data engineering, data analytics, software developers, testers, cloud architects and business stakeholders to deliver complex data projects, ensuring alignment with business objectives and technical requirements.
- Data Architecture and Security: Participate in designing and implementing data architectures, ensuring data security, governance, and compliance with organizational standards.
What we need:
- masters or Ph.D. in Computer Science, Statistics, Mathematics, or related fields.
- 5+ years of experience in data science, data engineering, or related fields.
- Strong expertise in Spark Streaming and/or Kafka
- Hands on knowledge of Apache Hudi, Apache Iceberg, and AWS Glue.
- Very good proficiency in object-oriented programming languages (Java, Scala, Python).
- Experience with cloud-based data management (AWS, GCP, Azure).
- Strong understanding of data architecture, data modeling, and data governance.
- Excellent problem-solving skills, with the ability to work in a fast-paced environment.
- Strong communication and collaboration skills, with experience working in cross-functional teams.
- Experience with Agile development methodologies and version control systems (eg, Git).
Nice to Have:
- Experience with AWS Glue Data Catalog, AWS Glue ETL, and AWS Lake Formation.
- Knowledge of containerization (Docker) and orchestration (Kubernetes).
- Certification in data science, data engineering, or related fields
Employment Type: Full Time, Permanent
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