Company:A Large Global Organization
Key Skills: Telecom, Data Analysis, Data cleansing, Data Bricks, Data quality, OSS (Operations Support Systems), BSS (Business Support Systems), Python, OpenVMS, Kafka, Spark, Shell
Roles and Responsibilities:
- Define and maintain data quality scope, controls, and remediation actions across OSS and BSS systems.
- Perform data analysis, auditing, cleansing, and root cause analysis for complex telecom datasets.
- Coordinate with governance, reporting, and business teams to resolve recurring data issues.
- Develop data quality metrics, dashboards, and automation for cleansing workflows.
- Support mobile services data environments and ensure consistency across operational systems and analytical outputs.
Skills Required:
- 10+ years of experience in data management or data quality roles.
- Strong hands-on experience in telecom data quality, data analysis, and data cleansing.
- Working knowledge of OSS/BSS environments and mobile services systems such as NGIN, OCS, and HLR.
- Expert-level SQL and database experience across PostgreSQL, Oracle, Teradata, or Sybase.
- Experience with Databricks and scripting in Python, Shell, Java, COBOL, or DCL.
Good to Have:
- Exposure to Spark, Hadoop, Hive, Kafka, Microsoft Azure, Oracle Cloud Infrastructure, and Git.
- Familiarity with GDPR and ePrivacy requirements.
Education: Master's degree in IT, Applied Economics, or equivalent experience.