Quality Engineer - Data Quality | Sap Ecc & S/4Hana

Gracia101 Talent Solutions

Barcelona, Spain

6 days ago

Apply on www.buscojobs.com.es

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.buscojobs.com.es

Tech stack

Data Analysis Automation of Tests Big Data Data Cleansing Information Engineering Data Profiling Apache Hive Python (Programming Language) SAP ERP SAP (Applications) SAP NetWeaver Data Management SQL Databases

+5 more

Sql Optimization Informatica Powercenter Pyspark SAP S/4HANA Databricks

Job description

Quality Engineer - Data Quality

SAP ECC & S/4HANA We are looking for an experienced Quality Engineer / Data Quality Engineer with strong hands?on experience across SAP ECC, SAP S/4HANA, Informatica CDQ/IDMC, Colibra, SQL, Python, and/ or Databricks.Key Responsibilities Perform hands?on data profiling across large and complex datasets.Design and implement data quality rules, validation checks, thresholds, and monitoring controls.Develop and manage profiling jobs and DQ rules using Informatica CDQ/IDMC.Investigate data quality issues, perform root?cause analysis, and drive remediation through closure.Use SQL, Python, PySpark, Spark SQL, and Databricks for data analysis and quality automation.Support SAP ECC ? S/4HANA migration and transformation initiatives, including data cleansing, mapping validation, reconciliation, and migration readiness.Build automated quality monitoring, alerts, KPIs, scorecards, and dashboards.Work across multiple source systems and collaborate with SAP, business, and data engineering teams.Maintain quality rules, profiling results, issue logs, remediation records, and technical documentation.Required Experience Hands?on SAP ECC experience - mandatory Hands?on SAP S/4HANA experience - mandatory Experience with SAP data migration/transformation, ideally ECC to S/4HANA.Advanced SQL skills.Practical Python/PySpark and Databricks experience.Proven experience with data profiling, DQ rule development, issue investigation, remediation, and automated monitoring.Strong understanding of enterprise data flows and source systems.We are looking for someone who has actually built, analysed, investigated, and improved data quality-not someone who has simply consumed data quality reports.#J-*****-Ljbffr

Requirements

Proven experience with data profiling, DQ rule development, issue investigation, remediation, and automated monitoring. Strong understanding of enterprise data flows and source systems. We are looking for someone who has actually built, analysed, investigated, and improved data quality-not someone who has simply consumed data quality reports. #J-*****-Ljbffr