| Urgent Opening--Data Engineer (ETL, AWS, DMS, Data Pipelines, Cloud)---Princeton, NJ(Onsite)_local Preferred at Princeton, New Jersey, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2277585&uid= Job Title: Data Engineer (ETL, AWS, DMS, Data Pipelines, Cloud) Location: Princeton, NJ(Onsite)_local Preferred Duration: Long Term Contract Job Description: We are seeking a highly skilled Data Engineer to design, build, and maintain scalable ETL pipelines, data warehouses, and cloud-based data solutions. The ideal candidate will have expertise in AWS services (DMS, S3, Glue, Redshift, Lambda, etc.), experience working with structured and unstructured data, and strong data transformation skills. Key Responsibilities: Design and develop ETL/ELT data pipelines to process large-scale structured and unstructured data. Implement AWS DMS (Database Migration Service) to migrate data across different databases and cloud environments. Work with AWS Glue, Lambda, Step Functions, S3, Redshift, and EMR to build scalable data solutions. Optimize and monitor data pipelines for performance, reliability, and cost-effectiveness. Collaborate with data scientists, analysts, and software engineers to ensure efficient data workflows. Implement data governance, security, and compliance best practices. Automate data ingestion, processing, and transformation tasks. Troubleshoot and resolve ETL and cloud infrastructure issues. Required Skills & Qualifications: Bachelors/Masters degree in Computer Science, Data Engineering, or a related field. 3-7 years of experience in ETL development and data engineering. Strong proficiency in SQL, Python, or Scala for data manipulation. Expertise in AWS cloud services (DMS, Glue, Redshift, S3, Lambda, Step Functions, EMR). Experience working with relational and NoSQL databases (PostgreSQL, MySQL, DynamoDB, etc.). Hands-on experience with Apache Spark, Kafka, or Airflow is a plus. Knowledge of data warehousing concepts and data lake architectures. Strong understanding of data modeling, performance tuning, and query optimization. Experience with CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation) is a plus | | | Thanks Rakesh Pathak | Senior Technical Recruiter Phone: 609-360-2642 [email protected]| www.ampstek.com https://www.linkedin.com/in/rakesh-kumar-pathak-00b039167/ -- Keywords: continuous integration continuous deployment sthree information technology New Jersey Urgent Opening--Data Engineer (ETL, AWS, DMS, Data Pipelines, Cloud)---Princeton, NJ(Onsite)_local Preferred [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2277585&uid= |
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| 10:44 PM 21-Mar-25 |