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Data Engineer

Dallas, TX, US • Posted 4 hours ago • Updated 4 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Informatica
Shell Scripting
Data Modeling
Reporting
Microsoft Power BI
Tableau
Financial Services
Computer Science
Writing
SQL
PL/SQL
Stored Procedures
Extract
Transform
Load
Informatica PowerCenter
Scripting
Unix
Python
Relational Databases
Performance Tuning
Data Warehouse
Modeling
Oracle
Data Integration
Cloud Computing
Scheduling
BMC Control-M
CA Workload Automation AE
Business Intelligence
Analytics
OBIEE
GitHub
Management
Supply Chain Management
Data Engineering
Agile

Informatica
Shell Scripting
Data Modeling
Reporting
Microsoft Power BI
Tableau
Financial Services
Computer Science
Writing
SQL
PL/SQL
Stored Procedures
Extract
Transform
Load
Informatica PowerCenter
Scripting
Unix
Python
Relational Databases
Performance Tuning
Data Warehouse
Modeling
Oracle
Data Integration
Cloud Computing
Scheduling
BMC Control-M
CA Workload Automation AE
Business Intelligence
Analytics
OBIEE
GitHub
Management
Supply Chain Management
Data Engineering
Agile

Summary

Job Title: Data Engineer (PL/SQL, Informatica, Shell scripting)

Duration: 12 months extendable contract

Location : Dallas,TX | Westlake,TX - Onsite

Job Description -

7+ years of experience as a Data Engineer
Expert-level knowledge of Oracle PL/SQL (Stored Procedures, Functions, packages, triggers)
Expert-level knowledge of writing complex SQL queries using Oracle
Working exp with scripting and automation using Unix and Python
Eperience with Informatica Power Center
Conceptual knowledge of Data Modeling and Data Warehousing
Good knowledge of Oracle

Job Duties

BI Reporting tools experience (OBIEE and Power BI or Tableau)
Financial Services Industry exp strongly preferred. SPecific to workplace investing and or Stock PLan Services domain.

Desired Skills & Experience

"Bachelor's Degree or equivalent in a technology related field (e.g. Computer Science, Engineering, etc.) required 10+ years of hands-on experience in Data engineering, data warehousing and analytics technologies
Expert-level knowledge of writing complex SQL queries using Oracle.
Expert-level knowledge of Oracle PL/SQL (Stored Procedures, Functions, packages, triggers)
Strong working experience in ETL tools like Informatica (Power Center)
Working experience in scripting and automation using Unix, Python in a Data Engineering environment.
Extensive experience with Relational Databases like Oracle including being able to implement performance tuning techniques
Strong working knowledge of Datawarehousing patterns and Dimensional Modelling techniques using Oracle.
Experience building scalable patterns for data integration in a cloud-based as well as on-prem environments
Working knowledge of Batch scheduling tools like Control-M, Autosys.
Experience with business intelligence and analytics tools such as OBIEE/OAS
Working experience using GitHUB for Source Code Management (SCM) in a Data Engineering Practice.
Experience working on projects in an Agile environment

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.

Dice Id: 80183517
Position Id: e97fa080172d80790c899c0226880901
Posted 4 hours ago

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