MyPage is a personalized page based on your interests.The page is customized to help you to find content that matters you the most.


I'm not curious
1

Big Data and Analytics Capability and Platform Engineer

Location Bengaluru, India
Posted 23-August-2021
Description
Big Data and Analytics Capability and Platform Engineer
This is an exciting opportunity for an individual who is interested in joining a world class Big Data and Analytics (BDA) team that is fast growing and strategically important to Intel. We are looking for an experienced Big Data and Analytics engineer who can come on board and become the Subject Matter Expert with strong experience using Big Data technologies. As a member of the BDA Engineering team, youll be a hands on capability and platform engineer who will be collaborating with global teams enabling new capabilities and platforms. A must-have experience in implementation of solutions using Big Data and Kubernetes technologies. Usually holds an academic degree in Computer Science, Computer Engineering or Computational Science. Responsibilities Explore and evaluate new capabilities and products related to Big Data Analytics (Hadoop and Kubernetes) ecosystems. Participate in the creation of documents, guidance as it relates Big Data technologies within vendor based Bigdata and open source Kubernetes ecosystems. Guiding development teams on usage of tools, BKMs, best practices, prescriptive guidance and standards. Development of Bigdata automation capabilities for platform management (workload, maintenance, capacity and monitoring/alerting). Azure based Cloud Data warehouse / ETL / Azure ADF /Azure Databricks capability engineering, On-premise Cloudera and Kubernetes platforms day to day management including but not limited to management, configurations and engineering support. Participate in knowledge sharing and representing team in presenting new capability findings, project status and deliverables in various internal forums.


Qualifications

BE/BS or MS in Computer Science/ Engineering with 6years experience. Must have experience in designing and implementing big data solutions using Kubernetes open source capabilities, Cloudera distribution (Tez, Hive, Impala, Spark, HBase and/or Kafka) or Cloud Data warehouse / ETL / Azure ADF /Azure Databricks Must have advanced hands on Big data development experience including but not limited to Python, Scala, Jupyter notebooks, Linux shell scripting, Ansible, Spark frameworks within Cloudera and Kubernetes open source stacks. Experience with automated testing methodologies and frameworks 3years of experience designing/developing solutions to handle large-scale data volumes leveraging latest compute frameworks and utilizing distributed file system technologies including HDFS, HBase, Object Storage 2years of experience engineering and managing disaggregated platform architectures utilizing the Kubernetes framework to enable both open source compute and/or storage capabilities. RedHat/CentOS knowledge and troubleshooting experience Experience working independently on troubleshooting/resolving issues, capturing/analyzing benchmark performance, and reporting out findings. Team player is a MUST - Works well in a team environment with both senior and junior peers as well as your individual accountability ensuring the success of the team. The ideal candidate will also bring a diverse skill set: Experience with Agile, DevOps, CI/CD capabilities is a plus Experience in reporting tools is a plus Leadership, critical thinking, excellent verbal, written communication and presentation skills Strong problem-solving and analytical abilities Experience participating within open source communities
Experience
Min 6 to 9 Years.

 
Awards & Accolades for MyTechLogy
Winner of
REDHERRING
Top 100 Asia
Finalist at SiTF Awards 2014 under the category Best Social & Community Product
Finalist at HR Vendor of the Year 2015 Awards under the category Best Learning Management System
Finalist at HR Vendor of the Year 2015 Awards under the category Best Talent Management Software
Hidden Image Url