Data Engineer

2 months ago

Bangalore, India Eximietas Design Full time

About Eximietas:

Eximietas, a technology services and solutions company headquartered in San Jose, CA with a global footprint that extends to Bangalore, Chennai, and Bhubaneswar in India. Specializing in Cloud Computing, Cybersecurity, VLSI, Embedded Software, and Artificial Intelligence, Eximietas is dedicated to empowering businesses with cutting-edge innovations, ensuring their digital future is secure, efficient, and poised for growth. We foster a vibrant and collaborative work culture that thrives on innovation and inclusivity. Rooted in the spirit of Silicon Valley's tech dynamism, our global teams are united by a passion for excellence in technology and engineering.

Position: Data Engineer

Job Type: Full-time

Location: Bengaluru

Job Description:

We are seeking a skilled Data Engineer with over 4 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:

● 4+ years of experience in data engineering with a focus on data pipeline setup and management.

● 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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