Oracle Data Engineer

Keypixel Software Solutions

United States

On-site

USD 120,000 - 160,000

Full time

3 days ago
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Job summary

Keypixel Software Solutions seeks an Oracle Data Engineer to design, develop, and optimize Oracle SQL/PLSQL-based ETL pipelines and data warehousing solutions. The role includes performance tuning, data validation, and providing L2/L3 production support in a structured environment.

Applicants should have strong Oracle skills, scripting in Unix/Linux, and experience with scheduling tools like Control-M/Autosys. Familiarity with Snowflake/DBT is a plus, preferably in regulated banking environments.

Qualifications

  • Strong proficiency in Oracle SQL/PLSQL.
  • Experience with ETL and data warehousing concepts.
  • Knowledge of Oracle database engineering.
  • Ability to optimize queries and tune database performance.
  • Familiarity with Unix/Linux and Bash scripting.
  • Experience with Control-M or Autosys for job scheduling.
  • Ability to provide L2/L3 production support.
  • Skills in data validation and reconciliation.
  • Proficiency in Git and CI/CD practices.

Responsibilities

  • Develop and maintain Oracle SQL/PLSQL scripts for ETL processes.
  • Design and implement ETL pipelines for data warehousing.
  • Optimize queries and tune database performance.
  • Implement indexing and partitioning strategies for faster data retrieval.
  • Leverage Unix/Linux and Bash scripting for automation.
  • Work with Control-M or Autosys for scheduling and monitoring.
  • Provide L2/L3 production support to ensure data availability.
  • Perform data validation and reconciliation to ensure data accuracy.
  • Collaborate with teams to implement Git and CI/CD practices.
  • Experience with Snowflake or DBT is a plus.
  • Banking or regulated environments experience is a plus.

Skills

Oracle SQL/PLSQL
ETL & data warehousing
Oracle database engineering
Query optimization
Unix/Linux Bash scripting
Control-M/Autosys
L2/L3 production support
Git & CI/CD
Snowflake/DBT (preferred)

Tools

Snowflake
DBT

Job description

Oracle Data Engineer

Introduction:

We are currently seeking a skilled Oracle Data Engineer to join our team. The ideal candidate will have extensive experience in Oracle SQL/PLSQL, ETL, data warehousing, database engineering, query optimization, and performance tuning. This individual will play a crucial role in maintaining and optimizing our data systems while providing production support as needed.

Responsibilities:

  • Develop and maintain Oracle SQL/PLSQL scripts for data extraction, transformation, and loading processes.
  • Design and implement ETL processes for efficient data warehousing.
  • Optimize queries and fine-tune database performance for improved efficiency.
  • Implement indexing and partitioning strategies to enhance data retrieval.
  • Utilize Unix/Linux and Bash scripting for automation and process improvement.
  • Work with Control-M or Autosys for job scheduling and monitoring.
  • Provide L2/L3 production support to ensure data availability and reliability.
  • Perform data validation and reconciliation to maintain data integrity.
  • Collaborate with teams to implement Git and CI/CD practices for continuous delivery.
  • Experience with Snowflake or DBT is a plus.
  • Preferred experience in banking or regulated environments.

Requirements:

Required Skills:
  • Strong proficiency in Oracle SQL/PLSQL.
  • Experience with ETL and data warehousing concepts.
  • Knowledge of Oracle database engineering.
  • Ability to optimize queries and tune database performance.
  • Familiarity with Unix/Linux and Bash scripting.
  • Experience with Control-M or Autosys for job scheduling.
  • Ability to provide L2/L3 production support.
  • Skills in data validation and reconciliation.
  • Proficiency in Git and CI/CD practices.
Preferred Skills:
  • Experience with Snowflake or DBT.
  • Background in banking or regulated environments.
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