Bhavitha Tech, CMMi Level 3 Company | AWS Data Engineer
22 hours ago
Role DescriptionThis is a full-time on-site role for an AWS Data Engineer for one of Tier-1 IT Services companies.
The Data Engineer will be responsible for tasks such as data engineering, data modeling, ETL processes, data warehousing, and data analytics. The role requires hands-on experience in developing, constructing, testing, and maintaining data architectures.
Experience Required: 6+ YearsNo.of Req : 2Key Responsibilities:●Data Pipeline Design and Development:○Design, build, and maintain data pipelines to ingest, process, and store data using AWS technologies.○Utilize Python programming to create efficient data processing workflows, handling large-scale data transformation tasks.○Build scalable and high-performance solutions for data extraction, transformation, and loading (ETL).●AWS Services Expertise:○Work extensively with AWS services including S3, RedShift, Glue, and SageMaker to build end-to-end data solutions.○Develop and optimize data pipelines using AWS Glue for ETL processes, enabling efficient data movement across systems.○Use AWS RedShift for data warehousing and ensure optimized performance for data queries and reporting.○Leverage AWS Sagemaker for deploying machine learning models and creating automated data workflows.●Infrastructure as Code (IaC) and CI/CD Management:○Implement Infrastructure as Code (IaC) using Terraform to provision and manage cloud infrastructure for data projects.○Set up CI/CD pipelines with tools like Terraform, Jenkins, Bamboo, CodeBuild, and CodeFresh to automate deployment processes and enhance collaboration across teams.●Business and Data Requirements Translation:○Work closely with business analysts and stakeholders to translate complex business and data requirements into scalable, efficient, and secure data solutions.○Optimize data pipelines and workflows to meet performance, scalability, and reliability requirements.●Data Management and Optimization:○Develop and maintain data models, ensuring data is properly structured, and optimized for querying and analysis.○Use AWS Glue for data cataloging, transformation, and scheduling, ensuring that data workflows are efficient and consistent.●Testing, Monitoring, and Troubleshooting:○Monitor the performance and health of data pipelines and AWS environments.○Troubleshoot and resolve issues related to data ingestion, transformation, and delivery.○Ensure data accuracy, consistency, and quality across the entire data pipeline lifecycle.Key Requirements:●Experience:○6+ years of experience in data engineering with a focus on AWS technologies.○Strong proficiency in Python programming for data manipulation, transformation, and pipeline development.○Experience with AWS Glue, RedShift, Sagemaker, and other AWS data services.○Proven expertise in data pipeline management and optimization in a cloud environment.●Technical Skills:○Proficient with AWS S3, Glue, RedShift, SageMaker, Lambda, and other AWS data tools.○Experience with CI/CD tools such as Jenkins, CodeBuild, Bamboo, and CodeFresh.○Expertise in Infrastructure as Code (IaC), specifically using Terraform for provisioning and managing cloud infrastructure.○Solid understanding of data engineering principles, ETL, and data warehousing concepts.○Experience in building and managing data pipelines for large-scale, high-volume datasets.●Business and Analytical Skills:○Strong ability to translate complex data and business requirements into scalable and efficient data solutions.○Excellent problem-solving skills, with the ability to analyze and optimize data workflows.○Ability to collaborate with business analysts, data scientists, and stakeholders to deliver optimal data-driven solutions.
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