Noida · Entry Level
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Key Responsibilities:
Design, develop, and maintain robust data pipelines using Kafka, Airflow, and Spark.
Implement data models and schemas for efficient querying.
Develop and optimize code in Scala and Java for data processing tasks.
Monitor and troubleshoot data pipeline performance, ensuring data integrity and availability.
Collaborate with cross-functional teams to ensure seamless data integration and flow across systems.
Stay up-to-date with industry trends and best practices in data engineering and big data technologies.
Required Skills:
1-3 years of experience in data engineering space.
Proficiency in Kafka, Airflow, Spark, Scala, SQL, and Java.
Experience in designing and managing data pipelines in a distributed environment.
Solid understanding of ELT/ETL, datalake processes.
Familiarity with AWS services is a plus.
Strong problem-solving skills and ability to work in a fast-paced environment.
Data Engineering, SQL, Spark, Java, Scala, AWS
Senior Software Engineer - Data Engineer
1 to 2 years
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