Associate - Business Analyst-Application Development-Cloud Implementation

Role Overview: As a Data Engineer at our company, you will be responsible for leveraging your expertise in PySpark, Python, SQL, Git, and AWS to design, develop, and maintain our data infrastructure. You will play a crucial role in supporting our analytics by processing and engineering data effectively. Key Responsibilities: - Utilize PySpark, Python, SQL, Git, and AWS services such as Glue, Lambda, Step Functions, S3, and Athena to design and develop data infrastructure. - Implement data warehousing concepts and data modeling to enhance data processing capabilities. - Work with big data technologies like Hadoop and Spark to optimize data workflows. - Obtain AWS certifications related to data engineering to stay updated with industry best practices. 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 are preferred. Join our team and be a part of our mission to transform data into actionable insights. If you are a motivated Data Engineer with proficiency in PySpark, Python, SQL, Git, and AWS, we are looking forward to having you on board. Apply now and become a valuable member of our innovative and dynamic data engineering team.,