| Enterprise Data Architect @ Denver, CO (Onsite) at Denver, Colorado, USA |
| Email: [email protected] |
| Passport Number is Mandatory Hi, Greetings From Ampstek !! We are a Global staffing firm and we are Tier 1 vendor for all requirements and we can close positions immediately. Please review our job opening below and kindly send us the updated resume ASAP along with the details of consultants; Please add [email protected] in your distribution list Role: Enterprise Data Architect Location: Denver, CO (Onsite) Long term contract (12+ Months) Job Duties and Responsibilities Deploy enterprise-ready, secure and compliant data-oriented solutions leveraging Data Warehouse, Big Data and Machine Learning frameworks Optimizing data engineering and machine learning pipelines Reviews architectural designs to ensure consistency & alignment with defined target architecture and adherence to established architecture standards Support data and cloud transformation initiative Contribute to our cloud strategy based on prior experience Understand the latest technologies in a rapidly innovative marketplace Independently work with all stakeholders across the organization to deliver point and strategic solutions Assist solution providers with the definition and implementation of technical and business strategies Skills - Experience and Requirements - A successful Architect will have the following: Should have prior experience in working as a Data Warehouse/Big Data Architect. Experience in advanced Apache Spark processing framework, spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting. Should have experience in both functional programming and Spark SQL programming dealing with processing terabytes of data Specifically, this experience must be in writing Big Data data engineering jobs for large scale data integration in AWS. Prior experience in writing Machine Learning data pipeline using Spark programming language is an added advantage. Advanced SQL experience including SQL performance tuning is a must. Should have worked on other big data frameworks such as MapReduce, HDFS, Hive/Impala, AWS Athena. Experience in logical & physical table design in Big Data environment to suite processing frameworks Knowledge of using, setting up and tuning resource management frameworks such as Yarn, Mesos or standalone spark. Experience in writing spark streaming jobs (producers/consumers) using Apache Kafka or AWS Kinesis is required Should have knowledge in variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/Postgres, MongoDB Experience in AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloud watch and Data pipeline Must have used the technologies for deploying specific solutions in the area of Big Data and Machine learning. Experience in AWS cloud transformation projects are required. Telecommunication experience is an added advantage. Thanks, and Regards Rakesh Pathak | Senior Technical Recruiter Phone: 609-360-2642 [email protected] See what's happening on our social sites Organization Name | 103 Carnegie Center Drive, , Suite 300, , Princeton, NJ 08540 Update Profile | Constant Contact Data Notice Sent by [email protected] powered by Try email marketing for free today! Keywords: sthree Colorado New Jersey Enterprise Data Architect @ Denver, CO (Onsite) [email protected] |
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| Fri May 03 01:35:00 UTC 2024 |