Description

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

Key Skills

Education

Any Graduate