AWS BigData

Job Description

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : AWS BigData Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Software Development Lead, you will be responsible for developing and configuring software systems either end-to-end or for a specific stage of the product lifecycle. You will apply your knowledge of technologies, applications, methodologies, processes, and tools to support clients, projects, or entities. Your typical day will involve collaborating with the team, making team decisions, engaging with multiple teams, and providing solutions to problems for your immediate team and across multiple teams. You will also contribute to key decisions and ensure the successful execution of projects. Roles & Responsibilities: - AWS EMR, Glue, S3, Python/PySpark - Resource must have SQL experience - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead the development and configuration of software systems - Ensure the successful execution of projects - Contribute to the improvement of processes and methodologies Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS BigData - Strong understanding of statistical analysis and machine learning algorithms - Experience with data visualization tools such as Tableau or Power BI - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity