Data Engineer

You have strong proficiency in Python, SQL, and PySpark. Additionally, you have experience with big data frameworks such as Apache Spark and Hadoop. Hands-on experience with AWS, Azure, version control (Git), and CI/CD practices is also required for this role. Key Responsibilities: - Demonstrate expertise in Python, SQL, and PySpark - Utilize big data frameworks like Apache Spark and Hadoop for data processing - Work with AWS or Azure for cloud services - Implement version control using Git - Follow CI/CD practices for efficient software development Qualifications Required: - Proficient in Python, SQL, and PySpark - Experience with big data frameworks like Apache Spark and Hadoop - Hands-on experience with AWS or Azure - Familiarity with version control using Git - Knowledge of CI/CD practices for software development Kindly note that there are no additional details about the company provided in the job description. You have strong proficiency in Python, SQL, and PySpark. Additionally, you have experience with big data frameworks such as Apache Spark and Hadoop. Hands-on experience with AWS, Azure, version control (Git), and CI/CD practices is also required for this role. Key Responsibilities: - Demonstrate expertise in Python, SQL, and PySpark - Utilize big data frameworks like Apache Spark and Hadoop for data processing - Work with AWS or Azure for cloud services - Implement version control using Git - Follow CI/CD practices for efficient software development Qualifications Required: - Proficient in Python, SQL, and PySpark - Experience with big data frameworks like Apache Spark and Hadoop - Hands-on experience with AWS or Azure - Familiarity with version control using Git - Knowledge of CI/CD practices for software development Kindly note that there are no additional details about the company provided in the job description.