Job Description: Junior Data Engineer (Fresher)
We are seeking a highly motivated fresher to join our team as a Junior Data Engineer. In this role, you will work with data processing components and pipelines to handle tasks related to data ingestion, transformation, and analytics. The ideal candidate should have a strong interest in data engineering, cloud deployment, and be willing to learn about the various tools and technologies in the data ecosystem.
Key Responsibilities:
- Work with data ingestion, transformation, and analytics processes using tools like Airflow, Spark, and Kafka.
- Set up and implement data pipelines, leveraging technologies like Query Engines (Pinot, Presto, Trino) and Table Storage (HDFS, Iceberg, Parquet).
- Gain hands-on experience with cloud platforms and deploy containerized applications.
- Collaborate with senior engineers to design and optimize data workflows.
- Stay updated on industry trends and best practices in data engineering and cloud technologies.
Requirements:
- Basic understanding of data processing components and pipelines.
- Interest or coursework in tools like Airflow, Spark, Kafka, or cloud platforms.
- Strong willingness to learn and grow in data engineering.
- Familiarity with containerized applications and cloud deployment is a plus.
- Excellent communication and problem-solving skills.
If you are eager to kickstart your career in data engineering and work with cutting-edge technologies, we encourage you to apply!
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