Senior Data Quality Engineer

At W ITLT, we help our friendly companies transform ambitious ideas into digital reality. With a focus on challenges, technological curiosity, and agility, we co-create unique IT solutions and provide experienced expert individuals who help accelerate digital transformation. We are currently looking for a profile for the position: Senior Data Quality Engineer Organizational Information: Work mode: remote Project: Join a newly forming team responsible for building and developing a central Monitoring & Observability (M&O) and Data Quality platform for a global organization. The project focuses on ensuring high data quality, data process reliability, and monitoring platforms and applications operating in an enterprise environment. Technologies in the project: SQL, Python, Databricks, Fivetran, SAP, Power BI, Grafana, Azure, Azure SQL, Kafka, Apache Flink, GitHub, GitHub Actions, CI/CD, Cloud Technologies. Scope of work: Design, implementation, and development of Data Quality Rules. Building and developing a Data Quality Engine supporting data validation in ETL/ELT processes. Monitoring data quality in pipelines and identifying anomalies and quality issues. Defining and measuring key data quality dimensions: Accuracy, Completeness, Consistency, Timeliness, Validity, Uniqueness. Analyzing root causes of data quality problems (Root Cause Analysis). Creating solutions to automate data quality control processes. Reporting, visualization, and presentation of Data Quality monitoring results. Collaboration with Data Engineering teams, Business, and data source owners. Implementing best practices related to data quality and continuous improvement of existing monitoring mechanisms. Expectations: Minimum several years of experience in Data Quality, Data Validation, or Data Profiling. Practical knowledge of data quality methodologies and dimensions. Experience in designing and implementing validation rules and data quality controls. Very good knowledge of SQL used for data analysis and validation. Experience in creating solutions to automate Data Quality processes using Python. Good knowledge of ETL/ELT processes and data pipeline architecture. Experience working with the Databricks platform. Ability to identify and analyze root causes of data quality problems. Experience working with large data volumes and multiple data sources. Nice to have: Experience with Fivetran. Knowledge of data and integration with SAP systems. Experience in building dashboards and reports in Power BI or Grafana. Knowledge of Azure and Azure SQL. Experience with Kafka or Apache Flink. Knowledge of CI/CD processes. Experience working with large data platforms in enterprise environments. We offer: Long-term stable employment based on a B2B contract. Opportunity for development in a large structure, direct contact with the Team Manager. Work in a company where IT is mature and global, and agile methodologies are respected. Contribution to the MultiSport card and insurance. Work start hours 7:30 AM - 9:30 AM. Efficient recruitment process (video conference), maximum 2 online meetings (first with someone from the team, second with the Manager).