Data Quality Lead

Jobs via Dice; Pittsburgh (Allegheny County); On-site; USD 70,000 - 110,000; Full time

Job summary

A leading software development company is seeking a Data Quality Lead for full-time employment. The position focuses on ensuring data integrity and compliance with AML processes. Ideal candidates will have strong technical skills in SQL and Python, along with a background in data quality management. This is an entry-level role with growth opportunities in the Information Technology sector.

Qualifications

• Experience in Data Quality Management and Data Analysis.
• Technical skills in SQL and Python are essential.
• Good communication and problem-solving skills required.

Responsibilities

• Manage data quality issues and ensure accuracy in datasets.
• Interpret business rules related to AML processes.
• Identify anomalies and ensure proper communication with stakeholders.

Skills

Data Quality Management

SQL

Python

Communication

Problem Solving

Job description

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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Ventures Unlimited, is seeking the following. Apply via Dice today!

Position:- Data Quality Lead ,

Location:- Strongsville, OH / Pittsburg, PA ,

Client :- TCS ,

Duration:- Full time Position,

Job Description:

Skill: Data Quality Lead

• Experience on Data Quality Management, Informatica, Teradata, Oracle, Data Analyst, SQL server, Hive, Python Good communication skills
• Good-to-Have Technical Skills.
• Data Quality Management, Informatica, Teradata, Oracle, Data Analyst, SQL server, Hive. migration to IICS.
  
  

Functional Knowledge:

• Prior experience or exposure to Banking domain.
• Understanding of Anti-Money Laundering (AML) processes, such as transaction monitoring, customer risk rating and case management workflows.
• Ability to interpret business rules related to AML.
• Technical skills include proficiency in programming languages like SQL, Python, data analysis, ETL tools, and data governance concepts. Soft skills involve strong communication, collaboration, and problem-solving abilities.
• Skills in identifying anomalies, inconsistencies, and errors in datasets are essential for maintaining data quality.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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