Lead Assistant Manager-Application Development-Cloud Implementation

As a Data Engineer at our company, you will be a key member of our dynamic team, utilizing your expertise in PySpark, Python, SQL, Git, and AWS services. Your primary responsibility will be designing, developing, and maintaining our data infrastructure to facilitate analytics. Your role will be crucial in turning data into actionable insights. Key Responsibilities: - Design, develop, and maintain data infrastructure using PySpark, Python, SQL, Git, and AWS services. - Implement data warehousing concepts and data modeling techniques. - Utilize big data technologies such as Hadoop and Spark for efficient data processing. - Obtain AWS certifications relevant to data engineering to enhance your skill set. Qualifications Required: - Proficiency in PySpark, Python, SQL, Git, and AWS services. - Strong understanding of data engineering principles and cloud technologies. - Experience with data warehousing and data modeling is preferred. - Familiarity with big data technologies like Hadoop and Spark will be advantageous. - AWS certifications related to data engineering are a plus. Join us in our mission to transform data into valuable insights by applying your expertise in PySpark, Python, SQL, Git, and AWS services. We are looking for motivated individuals to be part of our innovative and dynamic data engineering team. Take the opportunity to contribute to our journey by applying now.,