| Urgent interview for AWS Data Engineering Developer at Remote, Remote, USA |
| Email: [email protected] |
| From: Aashish, creaservices.net [email protected] Reply to: [email protected] Hi Hope this email finds you in good cheer !!! This is AASHISH from Crea Services which is fastest growing staffing firm with valuable and trusted customers. We have one opportunity with one of our Direct Client, So please share your updated resume along with your availability to discuss on the same role. Here is Job Description for your referen c e- Location: Remote (Need candidate from EST and PST Time zone) Job Description: AWS Data Engineering Developer Role: AWS Data Engineering Developer Experience: 8+ years in Data Engineering, 2+ years in AWS cloud environment Job Overview: We are seeking a motivated AWS Data Engineering Developer to join our HR IT team, working on building real-time and batch data pipelines using AWS Glue and associated AWS services. This role requires hands-on development, optimization of data processing tasks, and working closely with other team members to deliver scalable solutions. Key Responsibilities: - Develop and maintain ETL/ELT pipelines using AWS Glue. - Work with AWS S3 to build scalable data lakes and storage solutions. - Implement event-driven and scheduled data pipelines using AWS Lambda and AWS Step Functions. - Collaborate with team members to optimize Spark jobs for performance and efficiency. - Ensure proper access controls and security using AWS IAM and best practices. - Assist in integrating AWS RDS and other AWS data services into data workflows. - Monitor and troubleshoot data pipelines and workflows to ensure high availability. - Ensure proper documentation of data flows, transformations, and pipelines. Must-Have Skills: - AWS Glue: Experience with developing data pipelines. - AWS S3: Hands-on experience with data storage and retrieval in S3. - AWS IAM: Experience in managing access and permissions. - AWS Lambda: Ability to create event-driven data processes. - AWS RDS: Working knowledge of AWS RDS databases. - AWS Step Functions: Experience creating workflows using Step Functions. - Spark: Hands-on experience with Spark for large-scale data processing. - Event-Based and Scheduled Pipelines: Experience working with event-driven data architectures. - Basic Networking Knowledge: Understanding of VPC subnets. Nice-to-Have Skills: - HR Data Knowledge: Familiarity with HR data attributes and functions. - Snowflake: Basic knowledge of working with Snowflake. - Automation Tools: Experience with AWS CloudFormation or Terraform for infrastructure setup. - CI/CD Pipelines: Familiarity with Jenkins, GitLab CI, or AWS CodePipeline. - Data Security: Knowledge of security best practices in AWS for data engineering. Qualifications: - Bachelors degree in Computer Science, Data Engineering, or a related field. - AWS Certifications (e.g., AWS Certified Developer, AWS Certified Big Data Specialty) are preferred. Keywords: cprogramm continuous integration continuous deployment sthree information technology Urgent interview for AWS Data Engineering Developer [email protected] |
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| Thu Sep 26 19:40:00 UTC 2024 |