Oracle Analyst/Developer

Skills: 
-Need to have Strong Report Writing Skills.  
-Oracle EBS/ANSI Oracle (SQL for Oracle)
-SSIS and SSRS is Good but will also look at Tableau, Hyperion, or     Oracle Reports for BI Tools 
– AWS S3 is HUGE PLUS – The team is learning now how to convert to cloud so if they have exp here that would be Very Helpful 

They will start with the Report conversion but will be involved in Development of new Apps down the road for Technical Services Solution Team (TSS).  THey are attached to the Accounting team at Dish but are liason for reporting between Accounting and IT. 

The Senior Analyst/Developer will be part of the Technical and Strategic Solutions Team within Accounting. This position will work with the development of Oracle R12 EBS custom reports and take a lead role in developing applications that streamline various financial processes. Additionally, this position will be part of a highly collaborative team with a mix of Business Analyst and Developers that takes pride in producing exceptional customer experiences.

Primary Responsibilities

  • Design, develop, scheduling and maintenance of custom complex Oracle R12 reports.
  • Derive insights from data, spot issues with data, and being resourceful to find solutions.
  • Analyze, design and automate multiple types of business improvement initiatives.
  • Working with SQL Server 2016 – database design, stored procedures, SSIS and SSRS.
  • Continuously work with the business to build relationships, understand needs and the impact of your work, and ensure accuracy.

Qualifications

  • B.S degree in Computer Science, Computer Engineering or a related technical degree; or an equivalent combination of education and experience
  • 3 years minimum experiences with both the functional and table structure of Oracle EBS R12
  • 3 years minimum experience working with various reporting tools
  • Experience working on SQL Server, SSIS and Visual Studio
  • Proficient with process re-engineering or business transformation

 

Desired Skills

  • Must be detailed oriented and have proven analytical skills
  • Accounting knowledge
  • Robotic Process Automation (RPA) skills
  • OBIEE
  • G Suite

Machine Learning Platform Engineer

offering equity, standard 4 year vesting. Strike price is very low at this point so it is a good opportunity to get in on the ground floor. 

In this role, you own the end-to-end Machine Learning Pipeline together with CI/CD for our ML
Engineering process. You focus on code, versioning of datasets, models, and production endpoints to
allow ML Engineers to collaborate, experiment, and scale fast.
What you will be doing:

ML Pipeline Automation.
Continuous Integration for Machine Learning projects.
Continuous Delivery for Machine Learning projects.
Improve and advance DataOps and MLOps infrastructure and operational processes.

What we’re looking for:
Experience building data warehouses/ETL pipelines, specifically, experience with one of the following technologies: Apache Spark, Delta Lake, Ray.io
4+ years of industry experience in applied ML.
Strong proficiency with Python and ETL pipelines on cloud infrastructure

Essential: [most, but not all, of the points below]
Experience with AWS or GCP or Azure
Experience working with Apache Spark/Beam, Presto, and potentially DeltatLake
Experience with Kubeflow, MLFlow, Airflow
Experience with data stores including Postgres, Redis, etc
Experience with building REST API endpoints using Python frameworks
Experience with ElasticSearch
Experience with visualization libraries such as Plotly
Experience with Python code optimization
Experience with Docker, Kubernetes

Nice to have:
Experience with ML Inference servers such as Triton, KFServing, or Seldon Core.
Experience with infrastructure as code tools such as Terraform, Cloudformation
Experience with deep learning frameworks such as TensorFlow, Pytorch, or Keras.
General understanding of ML fundamentals
Experience working with data scientists and/or ML engineers and building auto-scaling ML
systems.