| Remote Opportunity For AWS Data Engineer // Contract at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1946754&uid= Hi, Hope you are doing well!! Please find the job requirements below and let me know if you are available for the same. Position: AWS Data Engineer Location: Remote Job Type: Contract Job Description: We are seeking a skilled AWS Data Engineer to join our team. The ideal candidate will have a strong background in building and optimizing large-scale data pipelines, working in cloud environments, and developing data solutions using AWS services, Python, and PySpark. Responsibilities: Design, build, and maintain scalable data pipelines and ETL processes in the AWS ecosystem. Develop and optimize data processing applications using Python and PySpark. Implement best practices for data lake and data warehouse solutions using AWS services such as: o Amazon S3, Redshift, Glue, Athena, EMR, Lambda, and DynamoDB. Ensure high-quality data delivery by performing data validation, monitoring, and troubleshooting. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions. Monitor system performance, identify areas for improvement, and implement optimizations. Maintain secure and reliable data flows, adhering to data governance policies. Work with CI/CD pipelines for deployment and orchestration tools such as Apache Airflow or AWS Step Functions. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 3+ years of experience in data engineering with a strong focus on AWS services. Proficiency in Python programming for data manipulation and scripting. Hands-on experience with PySpark for distributed data processing. Deep understanding of data modeling, ETL/ELT pipelines, and schema design principles. Knowledge of SQL and experience with databases (e.g., Redshift, PostgreSQL, or RDS). Familiarity with workflow orchestration tools such as Apache Airflow or AWS-native solutions. Strong analytical and problem-solving skills with attention to detail. Experience with version control systems like Git and working in an agile environment. Preferred Qualifications: AWS Certifications (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect). Experience with streaming data using AWS Kinesis or Apache Kafka. Knowledge of infrastructure-as-code tools like CloudFormation or Terraform. Exposure to big data tools such as Hive, HBase, or Presto. Familiarity with Docker and Kubernetes for containerized deployments. Regards, Vishal Pathak Technical IT Recruiter Work: +1-571-507-8630 Email ID: [email protected] Follow us on: Arkhya Tech Inc. | www.arkhyatech.com 11/19/24, 10:57:43 PM Keywords: continuous integration continuous deployment sthree information technology Idaho Remote Opportunity For AWS Data Engineer // Contract [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1946754&uid= |
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| 10:59 PM 19-Nov-24 |