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 such as Glue, Lambda, Step Functions, S3, and Athena. Your primary focus will be on data engineering, data processing, and cloud technologies to design, develop, and maintain our data infrastructure supporting analytics. **Key Responsibilities:** - Designing and developing data pipelines using PySpark for efficient data processing. - Writing and optimizing SQL queries to extract and manipulate data. - Collaborating with the team to ensure version control and code management using Git. - Utilizing AWS services such as Glue, Lambda, Step Functions, S3, and Athena for data processing and storage. **Qualifications Required:** - Strong expertise in PySpark, Python, SQL, Git, and AWS services. - Knowledge of data warehousing concepts and data modeling. - Familiarity with big data technologies like Hadoop and Spark. - AWS certifications related to data engineering would be a plus. Join our team and be part of our mission to transform data into actionable insights. If you are a motivated Data Engineer with the required skills and experience, we look forward to receiving your application. Apply now and become a valuable member of our innovative and dynamic data engineering team.,