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GCP Data Engineer

2 months ago

Canada, CA Quantiphi Full time

About Us:

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.


Company Highlights:


  • Delivered 2.5x growth YoY since its inception in 2013
  • Headquartered in Boston, with 4000+ Quantiphi professionals across the globe
  • Great Places to Work certified for 2 consecutive years- 2022, 2021
  • Recognized by Everest Group as Specialist Leader and Star Performer in Analytics and AI Services, 2022
  • Recognized as an AIFinTech100 Company, 2022 by InsurTech
  • Winner of Best in Business Award in Established Business category by INC., 2022
  • Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Healthcare by Frost & Sullivan, 2022
  • Recognized in Gartner Hype Cycle Reports for AI Strategy, 2022
  • Winner of 2021 Google Cloud Breakthrough Partner of the Year- North America
  • Winner of 2021 AWS Canada Rising Star of the Year
  • Recognized as Leader in IDC MarketScape: WorldWide AI IT Services, 2021
  • Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category
  • Winner of NVIDIA's Americas Service Delivery Partner of the Year, 2021

Experience Level: 6+ years


Responsibilities:


  • Work with cloud engineers and customers to solve big data problems by developing utilities for migration, storage and processing on Cloud platforms.
  • Design and build a cloud migration strategy for cloud and on-premise applications.
  • Diagnose and troubleshoot complex distributed systems problems and develop solutions with a significant impact at massive scale.
  • Build tools to ingest and jobs to process several terabytes or petabytes per day.
  • Design and develop next-gen storage and compute solutions for several large customers.
  • Communicate with a wide set of teams, including Infrastructure, Network, Engineering, DevOps, SiteOps teams, and cloud customers.
  • Build advanced tooling for automation, testing, monitoring, administration, and data operations across multiple cloud clusters.


Required Skills:


  • Hands-on experience in data structures, distributed systems, Hadoop and spark,
  • SQL and NoSQL Databases
  • Strong software development skills in at least one of: Python, PySpark.
  • Experience in developing Big Data solutions (migration, storage, processing)
  • Experience building and supporting large-scale systems in a production environment
  • Cloud Platforms – GCP
  • Any of Apache Hadoop/CDH/HDP/EMR/Google DataProc/HD-Insights Distributed processing Frameworks.
  • One or more of MapReduce, Apache Spark, Apache Storm, Apache Flink.
  • Database/warehouse
  • Hive, HBase, and at least one cloud native services Orchestration Frameworks
  • Any of Airflow, Oozie, Apache NiFi, Google DataFlow Message/Event Solutions
  • Any of Kafka, Kinesis, Cloud pub-sub Container Orchestration (Good to have)
  • Kubernetes or Swarm
  • Leadership qualities
  • Ability to lead technology teams and provide them mentorship / support to accelerate performance.
  • Experience in leading multiple large projects as well as a deep understanding of Agile developments
  • Effective communication with all the stakeholders involved.
  • Communicate clearly about complex subjects and technical plans with technical and non technical audiences.


What is in it for you:

  • Opportunity to learn cloud-native services and how to utilize those services to solve various business problems.
  • More hands-on learning opportunities in Python, SQL, etc
  • Sponsored certification opportunity for various courses of your choice (eg, GCP, AWS, Azure, Tableau, Looker, etc)
  • Allocated work will allow you to not only just complete the task but you will be given an opportunity to own up the work and take responsibility for it’s end-to-end delivery