Junior Big Data Engineer

1 week ago


Bengaluru, Karnataka, India DATASPARK HIRE Full time

We are looking for a dynamic Big Data Engineer to join our expert team dedicated to data engineering. This position is perfect for recent graduates who are enthusiastic about big data technologies and excited to apply their knowledge in a professional environment.



Key Responsibilities:

- **Assist in Data Pipeline Development:** Design, develop, and maintain scalable data pipelines for processing large volumes of data. Implement ETL processes to ensure data integrity and quality.

- **Data Storage and Management:** Manage and optimize big data storage solutions such as HDFS and NoSQL databases. Contribute to the development and upkeep of data warehouses and data lakes.

- **Data Processing:** Gain hands-on experience with big data processing frameworks like Apache Spark, Hadoop, and Kafka. Support the creation of real-time and batch data processing solutions.

- **Data Integration:** Collaborate in integrating data from diverse sources to guarantee data consistency and accuracy. Partner with data scientists, analysts, and stakeholders to comprehend data requirements.

- **Performance Optimization:** Learn to enhance data processing performance and troubleshoot pipeline issues. Implement best practices for data security and compliance.

- **Collaboration and Learning:** Engage closely with cross-functional teams to gather requirements and deliver data solutions. Take part in training sessions and mentorship programs to enhance technical skills.

- **Continuous Improvement:** Keep abreast of the latest industry trends and technologies in big data. Contribute to advancing data engineering processes and tools.

Required Qualifications:

- **Education:** Bachelor's degree in Computer Science, Information Technology, or a related field.

- **Technical Skills:** Basic understanding of big data technologies like Hadoop, Spark, Kafka. Familiarity with ETL processes and tools. Entry-level programming skills in Java, Scala, or Python. Knowledge of SQL and NoSQL databases. Understanding of cloud platforms like AWS, Azure, Google Cloud, and their big data services is beneficial.

- **Experience:** Prior internships or academic projects involving big data technologies are preferred but not mandatory.

- **Soft Skills:** Strong problem-solving and analytical skills. Effective communication and collaboration capabilities. Quick learner with adaptability to new technologies. Detail-oriented with a strong focus on data quality and accuracy.
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