Blog

Position: Oracle (OBIEE)

Location: Seattle, WA (Onsite)

Job Description:

Oracle BI , Python, Java, AWS, GCP or Azure, DevOps, REST /
SOAP services

Job Description:

 Basic Qualifications? 5+ year of experience with object-
oriented/object function scripting languages: Python, Java, etc? 3+ years of
leading development of large scale cloud-based services with platforms like
AWS, GCP or Azure and developing and operating cloud-based distributed
systems. ? Experience building and optimizing data pipelines, architectures
and data sets.? Build processes supporting data transformation, data
structures, metadata, dependency and workload management? Strong
computer science fundamentals in data structures, algorithm design, problem
solving, and complexity? Working knowledge of message queuing, stream
processing, and highly scalable ?big data? data stores.? Software
development experience in big data technologies Databricks, Hadoop, Hive,
Spark(PySpark)? Familiarity with distributed systems and computing at scale.?
Advanced working experience with databases SQL & NoSQL is required.?
Proficiency in data processing using technologies like Spark Streaming, Spark
SQL, ? Expertise in developing big data pipelines using technologies like
Kafka, Storm, ? Experience with large scale data warehousing, mining or
analytic systems.? Ability to work with analysts to gather requirements and
translate them into data engineering tasks? Aptitude to independently learn
new technologies.? Experience automating deployments with continuous
integration and continuous delivery systems? Experience with DevOps ,
automation using Terraform or similar products are preferred .
Competencies: Oracle Business Intelligence (OBIEE), Oracle OBIEE
Application Development
Experience (Years): 6-8
Essential Skills: Summary of Key ResponsibilitiesResponsibilities and
essential job functions include but are not limited to the following:? Leads
large-scale, complex, cross-functional projects build technical roadmap for the
WFM Data Services platform .? Leading and reviewing design artifacts ? Build
and own the automation and monitoring frameworks that showcase reliable,
accurate, easy-to-understand metrics and operational KPIs to stakeholders for
data pipeline quality? Execute proof of concept on new technology and tools to
pick the best tools and solutions? Supports business objectives by
collaborating with business partners to identify opportunities and drive
resolution;? Communicating status and issues to Sr Starbucks leadership and
stakeholders;? Directing project team and cross functional teams on all
technical aspects of the projects? Lead with engineering team to build and
support real-time, highly available data, data pipeline and technology
capabilities? Translate strategic requirements into business requirements to
ensure solutions meet business needs? Define & implement data retention
policies and procedures? Define & implement data governance policies and
procedures? Identify, design, and implement internal process improvements:
automating manual processes, optimizing data delivery, re-designing
infrastructure for greater scalability? Enable team to pursue insights and
applied breakthroughs, while also driving the solutions to Starbucks scale?
Build the infrastructure required for optimal extraction, transformation, and
loading of data from a wide variety of structured and unstructured data sources
and using big data technologies.? Build analytics tools that utilize the data
pipeline to provide actionable insights into customer acquisition, operational
efficiency and other key business performance metrics.? Work with
stakeholders including the Executive, Product, Data and Design teams to

assist with data-related technical issues and support their data infrastructure
needs.? Perform root cause analysis to identify permanent resolutions to
software or business process issues