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.




Solid 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.

📌 Data Quality Specialist (Bengaluru)
🏢 MyCareernet
📍 Bengaluru