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Data Engineer

1 month ago

Anywhere in IndiaMultiple Locations RECRUTMENT Full time

Required Skills and Qualifications :

- Proficiency in Apache Spark for batch and streaming data processing.

- Strong knowledge of orchestration tools like Apache Airflow.

- Experience with big data frameworks and technologies (e.g., Hadoop, Kafka).

- Familiarity with AWS data services such as Glue, Athena, and Kinesis.

- Understanding of event-driven architectures and ETL best practices.

- Hands-on experience with Python, Scala, or Java for data engineering.

- Strong problem-solving skills and ability to work in an agile environment.

- Minimum 5+ years of experience in data engineering or related fields

Key Responsibilities :

- Design, build, and maintain scalable ETL pipelines for data processing.

- Implement real-time data streaming using tools like Apache Spark Streaming.

- Develop batch processing workflows with Spark and integrate them with storage solutions.

- Use orchestration tools like Apache Airflow to manage and monitor data pipelines.

- Optimize resource usage for efficient data processing and minimize costs.

- Collaborate with Data Warehouse Engineers for seamless integration of processing and storage layers.

- Troubleshoot pipeline failures and improve reliability and performance

(ref:hirist.tech)