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About the role
2+ years of extensive Data Engineering Experience particularly in DataBricks and any Data Warehouses like Snowflake, BigQuery, Redshift.
3+ years of working in backend languages like Python, Java, Node.js etc.
Experience in designing, building and optimizing data pipelines and ETL processes.
Proficiency in working with large datasets and knowledge of data storage technologies.
Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis.
In-depth knowledge of database systems.
Experience in performance monitoring and optimization of data systems and infrastructure.
Experience building Data pipelines using Kafka or similar stack.
Familiarity with database replication, sharding and other techniques for scalability and high availability of databases.
Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
Familiarity building continuous integration and continuous deployment(CI/CD) pipelines.
Familiarity with security and systems that handle sensitive data.
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