Overview
On Site
Full Time
Skills
Data Engineering
Creative Problem Solving
Finance
IDQ
Data Quality
Scripting
Data Domain
Inventory
Computer Science
Workflow
Informatica Data Quality
Informatica
Writing
PL/SQL
IBM DB2
MongoDB
Flat File
Performance Tuning
Reporting
Data Cleansing
BMC Control-M
Database
Python
Shell Scripting
Regular Expression
Insurance
Job Details
Your Opportunity
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
Duties: Analyze source data to identify address data quality issues using IDQ tools. Design and implement standardizations and validation routines. Develop and maintain data quality rules and transformations within IDQ workflows. Partner with stakeholders to understand data quality requirements. Document data quality processes and procedures. Monitor and create Control-M Jobs for scheduled activities on data sources related to data quality. Reporting on Data Quality using Python scripting. Supporting data domain classification and data inventory with Informatica Enterprise Data Catalog..
What you have
Job Requirements: Master's in Computer Science or a related field and 24 months experience in a related occupation. Experience must include 24 months involving the following: Informatica Data Quality Administration & Utilization; Informatica Data Quality Rule and Workflow development and implementation; Informatica Data Quality in profiling data sources and flat files; Informatica Enterprise Data Catalog and domain rule writing; Data sources including Oracle, SQL Server, DB2 MongoDB, BigQuery, Flatfiles and query performance tuning; Reporting building and data extractions, and data cleansing and transformations; Control-M job creation and monitoring; Database structures, schemas, and query languages; Python and Shell Scripting; and, Working with Regex Expression and integration tools.
We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 28-day sabbatical after every 5 years of service for eligible positions; paid parental leave and family building benefits; tuition reimbursement; health, dental, and vision insurance; hybrid/remote work schedule available for eligible positions (subject to Schwab's internal approach to workplace flexibility).
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
Duties: Analyze source data to identify address data quality issues using IDQ tools. Design and implement standardizations and validation routines. Develop and maintain data quality rules and transformations within IDQ workflows. Partner with stakeholders to understand data quality requirements. Document data quality processes and procedures. Monitor and create Control-M Jobs for scheduled activities on data sources related to data quality. Reporting on Data Quality using Python scripting. Supporting data domain classification and data inventory with Informatica Enterprise Data Catalog..
What you have
Job Requirements: Master's in Computer Science or a related field and 24 months experience in a related occupation. Experience must include 24 months involving the following: Informatica Data Quality Administration & Utilization; Informatica Data Quality Rule and Workflow development and implementation; Informatica Data Quality in profiling data sources and flat files; Informatica Enterprise Data Catalog and domain rule writing; Data sources including Oracle, SQL Server, DB2 MongoDB, BigQuery, Flatfiles and query performance tuning; Reporting building and data extractions, and data cleansing and transformations; Control-M job creation and monitoring; Database structures, schemas, and query languages; Python and Shell Scripting; and, Working with Regex Expression and integration tools.
We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 28-day sabbatical after every 5 years of service for eligible positions; paid parental leave and family building benefits; tuition reimbursement; health, dental, and vision insurance; hybrid/remote work schedule available for eligible positions (subject to Schwab's internal approach to workplace flexibility).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.