Data Engineer (Big Data)

As a candidate for this role, you will have the opportunity to utilize and expand your expertise in Python and Scala to create impactful solutions. Your experience with DevOps practices and CI/CD pipelines will be valuable in this role. Additionally, familiarity with cloud-based, data-centric applications, including cloud services like AWS, Google Cloud Platform, or Azure, particularly in data storage and processing, is essential. Key Responsibilities: - Utilize expertise in Python and Scala to create impactful solutions - Implement DevOps practices and CI/CD pipelines - Work with cloud services such as AWS, Google Cloud Platform, or Azure for data storage and processing - Use big data frameworks such as Hadoop, Spark, or Flink - Design and implement robust and scalable APIs - Implement ETL processes and tools Qualifications Required: - Proficiency in Python and Scala - Experience with DevOps practices and CI/CD pipelines - Familiarity with cloud-based, data-centric applications - Knowledge of big data frameworks like Hadoop, Spark, or Flink - Experience in designing and implementing APIs - Understanding of ETL processes and tools This role requires expertise in Python and Scala, along with experience in DevOps practices, cloud services, big data frameworks, API design, and ETL processes. As a candidate for this role, you will have the opportunity to utilize and expand your expertise in Python and Scala to create impactful solutions. Your experience with DevOps practices and CI/CD pipelines will be valuable in this role. Additionally, familiarity with cloud-based, data-centric applications, including cloud services like AWS, Google Cloud Platform, or Azure, particularly in data storage and processing, is essential. Key Responsibilities: - Utilize expertise in Python and Scala to create impactful solutions - Implement DevOps practices and CI/CD pipelines - Work with cloud services such as AWS, Google Cloud Platform, or Azure for data storage and processing - Use big data frameworks such as Hadoop, Spark, or Flink - Design and implement robust and scalable APIs - Implement ETL processes and tools Qualifications Required: - Proficiency in Python and Scala - Experience with DevOps practices and CI/CD pipelines - Familiarity with cloud-based, data-centric applications - Knowledge of big data frameworks like Hadoop, Spark, or Flink - Experience in designing and implementing APIs - Understanding of ETL processes and tools This role requires expertise in Python and Scala, along with experience in DevOps practices, cloud services, big data frameworks, API design, and ETL processes.