Data Architect with ETRM

Overview

On Site
BASED ON EXPERIENCE
Contract - W2
Contract - Independent

Skills

DATA ARCHITECTURE
DATA ARCHITECT
MONGODB
CASSANDRA
ORACLE
MYSQL
AZURE
DATA MODELING
DATA MODEL
SQL
PL/SQL
PYTHON
DATA FACTORY
ADF
TALEND
ETL
INTEGRATION
OIL and GAS
ENERGY

Job Details

Direct Client Requirement
Position: Data Architect
Location: Houston, TX
Type: Contract
The key responsibilities will be
  • Develop data architecture and lead the delivery of end-to-end data, integration, reporting solution for Utilities Systems cloud and hybrid hosting
  • Analyze business requirements, conduct data & integration impact analysis.
  • Develop enterprise data landscape, conceptual data model and logical data model
  • Understanding of data requirements for ETRM systems and associated data structures (Risk, Pricing, Contracts etc)
  • Develop physical data modelling and database designs.
  • Design databases to meet and exceed different nonfictional requirements High availability, zero data loss, cyber security, high resilience, high performance, structured and un-structured data, time series data with resolution of as low as 10 ms, huge volumetric.
  • Design data migration, data quality solution.
  • Support Business Analysts and Solutions architects to design the systems.
  • Conduct Database activities such as database creation, management, testing, programming on database, data engineering, reverse data engineering, reporting, analytics, data migration etc based on project requirement
  • Lead data engineers/development to implement the solutions as per design
Mandatory Data skills
  • Data and Integration Architecture
  • Expertise in one or many of below
  • Oracle/MySQL database design and development
  • Mongodb /Casandra design and development
  • Azure Data Architecture
  • Excellent stakeholder communication skills
  • Ability to lead and guide data team in the project/program and get the work done.
  • Data Landscape ( As-Is and To-Be ) and Data Flows
  • Conceptual Data Model and Canonical Modelling
  • Logical Data Model and Physical Data Model
  • Data Definition and Integration specification
  • DDL , DML , DCL , TCL concepts and scripting
  • Data engineering and reverse data engineering
  • Master Data and Data Management
  • Data Entity to Application mapping - Master , Create , Update , Read & Delete
  • Requirements analysis , data impact analysis , integration impact analysis
  • Data Entity and Attribute Definition Data constraints, validation rules , consistency and defaulting rules Tools Sparx EA , SQL developer , Toad etc.
  • Database programming - PL/SQL and similar ones
  • Application of Data science for energy/electricity forecasting
  • Experience in architecting Python, R , mongo db, oracle db based forecasting solution hosted in cloud.
  • Experience/knowledge on Talend , ADF and SOA based data integration
  • Experience in implementation of reporting and visualization solution using Power BI
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.