Eximietas Design | Senior Data Engineer

1 month ago


Delhi, India Eximietas Design Full time
Position: Data Engineer
Job Type: Full-time
Location : Bengaluru
Job Description:
We are seeking a skilled Data Engineer with over 3 years of experience in data engineering and development expertise in Java and Python. The ideal candidate will have hands-on experience in designing, building, and maintaining data pipelines, as well as working with a wide range of data technologies, including Kafka, S3, CDC (Change Data Capture), Spark, and SQL. The candidate should also be proficient in container technologies like Docker and have a strong understanding of best practices for scalable and efficient data processing.
Responsibilities :
Design, develop, and maintain robust data pipelines using a combination of Java, Python, and relevant data technologies.
Implement and manage real-time data streaming using Kafka and CDC processes to ensure efficient data flow.
Work with S3 for scalable storage solutions and manage the integration with data pipelines.
Develop and optimize big data processing using Spark for distributed data processing and SQL for querying.
Ensure smooth setup and maintenance of containerized environments using
Docker .
Collaborate with cross-functional teams to understand data needs and provide data solutions that align with business requirements.
Troubleshoot and resolve issues in existing pipelines and ensure data quality and integrity.
Stay up-to-date with the latest industry trends in data engineering and recommend best practices.
Required Skills and Qualifications:
3+ years of experience in data engineering with a focus on data pipeline setup and management.
Proficiency in implementation of algorithms and use of advanced data structures to solve problems in computing.
Strong development experience in Java and Python .
Hands-on experience with Kafka , S3 , CDC , Spark , and SQL .
Proficient with container technologies like Docker .
Experience working in cloud environments and handling large datasets.
Solid understanding of data architecture and real-time processing.
Strong problem-solving skills and the ability to work independently as well as part of a team.

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