Informatica ETL Developer - 6326296

Accenture

Hybrid

Quick summary

Work type
Hybrid
Location
Charlotte, NC · Jersey City, NJ
Posted
4 days ago

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Similar $164k
$116k most similar roles pay here $214k

This listing doesn't post a salary. Most similar roles pay $127,325–$199,850.

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 · Informatica ETL Developer - 6326296

As an ETL Data Engineer at Accenture, you will join a dynamic team responsible for designing and maintaining data solutions that support complex workflows and business requirements. Your day-to-day activities will involve creating scalable data pipelines, ensuring data quality through rigorous validation and reconciliation processes, and collaborating with cross-functional teams to integrate data across platforms. You will also mentor junior engineers, contribute to the continuous improvement of data architecture, and troubleshoot issues to maintain high performance standards. The role requires expertise in Informatica PowerCenter, Oracle SQL PL/SQL, Unix shell scripting, Python, Hadoop technologies like Hive and Spark, and experience with Autosys Control M job scheduling. You must be proficient in Agile Scrum methodologies and familiar with Git Bitbucket for version control. This position involves 60% onsite client work in Charlotte, NC or Jersey City, NJ, offering opportunities to engage deeply with clients and drive impactful data solutions at scale.

What you'll do

  • Design and develop data solutions to support data generation, collection, and processing.
  • Create and optimize scalable data pipelines for complex workflows and business needs.
  • Implement ETL processes to migrate and deploy data across various systems efficiently.
  • Analyze and troubleshoot data issues to maintain integrity and performance of data systems.
  • Mentor less experienced colleagues by sharing knowledge in data engineering best practices.
  • Collaborate with cross-functional teams to integrate data solutions across multiple platforms.

What we're looking for

  • 5+ years of experience in ETL development, data warehousing, and enterprise data integration.
  • Expertise in Oracle SQL PL/SQL, Unix shell scripting, performance tuning, and production support.
  • Strong experience in developing ETL workflows, mappings, transformations, and data migration solutions.
  • Proficiency in Python, Hadoop technologies (Hive, Spark, HDFS), and Autosys Control M job scheduling.
  • Ability to collaborate with cross-functional teams and mentor less experienced colleagues effectively.
  • 60% onsite client work required in Charlotte, NC or Jersey City, NJ.

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