AWS Cloud Engineer Female 12th Pass Jobs in Pune

Develop and maintain web applications using React.js and Node.js.Design, deploy, and manage applications on AWS.Build and integrate AI-powered features and APIs.Develop RESTful APIs and ensure application performance and scalability.Collaborate with cross-functional teams to deliver high-quality solutions.

3+ years of AWS data engineering: Glue, Step Functions, Lambda, S3, DynamoDB, EC2Strong Python (boto3) scripting for automationTerraform or CloudFormation expertiseHands-on experience integrating RAG workflows or deploying LLM applicationsSolid SQL and NoSQL data-modeling skillsExcellent written and verbal communication in client-facing contexts

Work Mode: Hybrid6-9 years of overall IT experience, preferably in cloud environments.Minimum of 5 years of hands-on experience with AWS cloud development projects.Design and develop AWS data architectures and solutions.Build robust data pipelines and ETL processes using big data technologies.Utilize AWS data services such as Glue, Lambda, Redshift, and Athena effectively.Implement infrastructure as code (IaC) using Terraform.Proficiency in SQL, Python, and other relevant programming/scripting languages.Experience with orchestration tools like Apache Airflow or AWS Step Functions.Strong understanding of data warehousing concepts, data lakes, and data governance frameworks.Expertise in data modeling for both relational and non-relational databases.Excellent communication skills are essential for this role.

Responsible for the maintenance, configuration, and reliable operation of computer systems, network servers, and virtualization Install and upgrade computer components and software, manage virtual servers, and integrate automation processes Set up accounts and workstations. Monitor performance and maintain systems according to requirements. Ensure security through access controls, backups and firewalls Troubleshoot hardware and software errors by running diagnostics, documenting problems and resolutions, prioritizing problems, and assessing impact of issues Provide documentation and technical specifications to IT staff for planning and implementing new or upgrades of IT infrastructure

Job Description AWS Data Engineer with min of 5 to 7 years of experience. Collaborate with business analysts to understand and gather requirements for existing or new ETL pipelines. Connect with stakeholders daily to discuss project progress and updates. Work within an Agile process to deliver projects in a timely and efficient manner. Design and develop Airflow DAGs to schedule and manage ETL workflows. Transform SQL queries into Spark SQL code for ETL pipelines. Develop custom Python functions to handle data quality and validation. Write PySpark scripts to process data and perform transformations. Perform data validation and ensure data accuracy and completeness by creating automated tests and implementing data validation processes. Run Spark jobs on AWS EMR cluster using Airflow DAGs. Monitor and troubleshoot ETL pipelines to ensure smooth operation. Implement best practices for data engineering, including data modeling, data warehousing, and data pipeline architecture. Collaborate with other members of the data engineering team to improve processes and implement new technologies. Stay up to date with emerging trends and technologies in data engineering and suggest ways to improve the team's efficiency and effectiveness.