Software Engineer Lead - Finance Technology (ETL, Informatica, SQL)

PNC

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Work type
On-site
Location
PAOH
Posted
7 days ago
Nearby
99+ roles within 25 mi

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Similar $194k
$170k most similar roles pay here $231k

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About PNC

PNC is one of the largest diversified financial services institutions in the U.S., based in Pittsburgh, PA, it provides retail banking, corporate banking, and asset management.

PNC currently has 175 open roles on FindRole.

Listed pay typically runs $86,250–$185,150 across 59 roles with salary data.

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TL;DR · Software Engineer Lead - Finance Technology (ETL, Informatica, SQL)

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As a Software Engineer Lead in PNC's Finance Technology organization, you will play a pivotal role in developing and maintaining complex ETL pipelines using Informatica, while also creating intricate SQL queries and stored procedures for relational databases such as Oracle or SQL Server. Your responsibilities include optimizing data pipelines for large datasets, implementing robust error handling and monitoring systems, and collaborating within Agile/Scrum teams to deliver high-quality solutions. Experience with CA7 and mainframe environments is beneficial. This role demands strong technical skills in ETL development, SQL, and database management, as well as the ability to work both independently and collaboratively on projects that drive significant business impact.

Skills

Informatica Oracle SQL Server PostgreSQL MySQL Agile Scrum CA7 mainframe SQL

What you'll do

  • Develop and maintain complex ETL pipelines using Informatica.
  • Write and optimize SQL queries and stored procedures for relational databases.
  • Ensure robust error handling, logging, and monitoring in data systems.
  • Independently work on data integration projects within Agile/Scrum teams.
  • Optimize existing data pipelines to enhance performance with large datasets.

What we're looking for

  • Strong hands-on experience in ETL development using Informatica.
  • Proficient in SQL for complex queries and stored procedures.
  • Experience building and maintaining batch and near-real-time ETL pipelines.
  • Ability to optimize data pipelines and SQL queries for large datasets.
  • Knowledge of error handling, logging, and monitoring techniques.
  • Capable of working independently and within Agile/Scrum teams.

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