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Data Engineer
2 months ago
Job Description :
- Min. 3 years of Hands-on experience with data modeling, data warehousing, and building ETL pipelines. Excel in the design, creation, and management of very large datasets
Data Architecture and Design :
- Collaborate with cross-functional teams to design and implement scalable and efficient data architectures, data models, and data integration processes.
Data Pipeline Development :
- Develop and maintain ETL (Extract, Transform, Load) processes and data pipelines to move and transform data from various sources into data warehouses and data lakes.
Big Data Technologies :
- Utilize big data technologies and distributed computing frameworks (e.g., Hadoop, Spark, Kafka) to handle large volumes of data and ensure high-speed data processing.
Performance Optimization :
- Optimize data pipelines and queries for efficiency, scalability, and performance to meet the demands of real-time and batch data processing.
Data Monitoring and Troubleshooting :
- Implement monitoring systems to track data pipeline performance and identify and resolve issues proactively.
Required skill-sets :
- Kafka, python, postgreSQL, elasticsearch, airflow, agile methodologies, shell scripting, fast API, NoSQL, Hadoop, Spark, Hive.
Note : This is Mumbai based location. Employee need to work in Hybrid working model.
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