Senior ETL Engineer/Data Engineer

Accenture

Hybrid

Quick summary

Work type
Hybrid
Location
Charlotte, NC
Posted
52 days ago

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Salary context

How this pay compares to similar roles

Similar $176k
$125k most similar roles pay here $226k

This listing doesn't post a salary. Most similar roles pay $135,000–$216,656.

Based on 240 similar postings.

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About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 131 open roles on FindRole.

Listed pay typically runs $94,400–$235,100 across 89 roles with salary data.

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At a glance

TL;DR · Senior ETL Engineer/Data Engineer

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As a Senior Data Engineer at Accenture, you will join a dynamic team responsible for designing and maintaining scalable data solutions that support complex workflows. Your daily tasks will involve creating and optimizing ETL processes using platforms like Informatica and DataStage, ensuring high-quality data through rigorous analysis and troubleshooting, and collaborating with cross-functional teams to align technical solutions with business goals. You will also contribute to the continuous improvement of data architecture best practices and provide technical guidance to team members. This role requires expertise in Oracle, SQL, PL/SQL, Unix/Linux scripting, and CI/CD automation, as well as experience in Autosys for job scheduling. The position is hybrid, requiring three days per week on-site at a client location in Charlotte, NC.

Skills

Informatica Datastage Oracle SQL PL_SQL Autosys CI/CD Unix/Linux Agile Troubleshooting Performance_Tuning

What you'll do

  • Lead the design and optimization of scalable data pipelines for complex workflows.
  • Create and maintain ETL processes to ensure accurate data migration and deployment.
  • Troubleshoot data processing issues to guarantee high-quality, reliable systems.
  • Provide technical guidance to team members to enhance project delivery efficiency.
  • Collaborate with cross-functional teams to align data engineering solutions with business goals.

What we're looking for

  • Minimum 5 years of experience in ETL platforms like Informatica and Datastage.
  • Minimum 5 years of experience with Oracle, SQL, and PL/SQL.
  • Minimum 3 years of experience in Unix/Linux scripting and Autosys.
  • High School Diploma or GED required; Bachelor's degree preferred.
  • Experience in CI/CD Automation and Agile Development methodologies.
  • Ability to lead design and optimization of scalable data pipelines.

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