AWS Data Engineer

Job Title: AWS Data Engineer Data Lake / S3 / Glue / Lambda / QuickSight / Python (Hands-On) Location: Bay Area, CA Local Only (2 Days Onsite) Type: 12-Month Contract Looking for a highly hands-on AWS Data Engineer to build and enhance a scalable AWS Data Lake based Data Warehouse. Strong coding and pipeline development experience required. This role focuses on building ETL/ELT pipelines into Amazon S3 Data Lake and supporting downstream analytics. Required Skills: 8+ years of Data Engineering /

Job Title: Data Engineer (AWS Data Platform)Location: Santa Clara (Hybrid)Experience: 12+ YearsIndustry: Hi-Tech Software & Platforms Please share the resume at Job Summary:We are looking for an experienced Data Engineer with strong expertise in AWS data services and big data technologies. The role involves building scalable data pipelines, managing data platforms, and supporting analytics teams. Experience working in large-scale environments such as Amazon is preferred. Key Responsibilities: D

Job Title: AWS Data EngineerLocation: Santa Clara, CA / Redmond, WA (Hybrid) Duration: Long Term Experience: 10+ Years <>Job SummaryWe are looking for an experienced AWS Data Engineer with strong expertise in building scalable data pipelines, data lakes, and data platforms on AWS. The ideal candidate should have solid experience with AWS data services, big data technologies, and ETL pipeline development. <>Key ResponsibilitiesDesign, develop, and maintain scalable ETL/ELT data pipelines using A

Hello,Greetings from Clifyx.Title: Data EngineerLocation: Santa Clara CA (Hybrid-Onsite)12+ Month ContractRelevant ExperienceMust have solid understanding of AWS and worked for Amazon in a similar role.Mandatory skillsAWS Data PlatformJob detailsData Engineer 7+ years of experience indata engineeringor related fields.Strong handson experience with:AWS services:Glue, S3, Redshift, EMR, Lambda, Kinesis, Athena.Big Data tech:Spark/PySpark, Hadoop, Hive.Programming:Python, SQL, Scala (optional).Data