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- Data Engineer(31)✗
₹ Not disclosed India
Develop big data solutions using Databricks and PySpark. Implement scalable data pipelines for processing and analyzing large datasets....view more
₹ Not disclosed India
Develop and maintain big data solutions using PySpark and Hive, ensuring data storage, transformation, and processing at scale....view more
₹ Not disclosed India
Design and implement event-driven architectures using Apache Kafka. Ensure the scalability and efficiency of message queuing and data streaming systems....view more
₹ Not disclosed India
Design and implement big data systems using Scala and Hive, ensuring data integration and processing at scale....view more
₹ Not disclosed India
Develop data processing solutions using Databricks and PySpark. Implement big data analytics and machine learning algorithms to drive business insights and operational efficiency....view more
₹ Not disclosed India, India
Develop and maintain big data solutions using technologies like GCP, Hadoop, PySpark, and SQL. Focus on building scalable data pipelines and analytics platforms....view more
₹ Not disclosed India, India
Design and implement distributed data systems using Scala, Kafka, Docker, and Kubernetes. Focus on performance, scalability, and system integration....view more
₹ Not disclosed India, India
Design and implement cloud-based data solutions using AWS, Snowflake, and Google Data Engineering. Develop scalable data pipelines and integrate cloud technologies to optimize business intelligence....view more
₹ Not disclosed India, India
Works on ETL development using SSIS, ensuring efficient data movement and processing for business intelligence....view more
₹ Not disclosed India, India
Design, implement, and manage Hadoop-based big data systems. Ensure data storage, processing, and analysis are performed efficiently....view more
₹ Not disclosed India, India
Leverage Databricks and PySpark for data analytics and big data processing. Implement scalable solutions and work with teams to ensure data-driven decision-making....view more
₹ Not disclosed India, India
Develop data processing and analytical solutions using PySpark. Implement scalable and efficient data pipelines and ensure high-performance data processing for large datasets....view more
₹ Not disclosed Bengaluru
Develop and optimize data pipelines using Databricks and PySpark. Process large-scale data for analytics and reporting. Implement best practices for ETL and data warehousing....view more
₹ Not disclosed Bengaluru
Develop and manage data pipelines using Snowflake. Optimize performance and data warehousing strategies....view more
₹ 15-25 Lacs PA Hybrid - Bengaluru, Hyderabad, Mumbai (All Areas)
Experience with various AWS services,including S3,EC2,EMR,Lambda,RDS,DynamoDB,Redshift,and Glue CatalogQualifications: . Education: Bachelors degree in Computer Science,Computer Engineering,or a rela...view more
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