Company: A Large Global Organization
Key Skills: Collibra, People Management, Python, ETL, Data Governance, Databricks
Roles and Responsibilities:
- Design, build, and maintain data quality rules, checks, and controls across critical ETL/ELT pipelines and analytics domains.
- Lead implementation and expansion of data observability capabilities, including monitoring, alerting, and issue triage.
- Partner with engineering and platform teams to embed data quality and observability into pipelines, ingestion frameworks, and CI/CD processes.
- Perform root cause analysis for data quality incidents and coordinate remediation with upstream and downstream teams.
- Manage and mentor four Hyderabad-based data quality team members, including sprint planning, work allocation, performance coaching, and delivery accountability.
Skills Required:
- 11 - 14 years of experience in data management, data analysis, data profiling,



and statistical techniques, including 5 years managing data engineering teams.
- ETL and data pipeline quality controls across ingestion and analytics ecosystems.
- Data governance expertise, including Collibra governance workflows and glossary/hierarchy concepts.
- Hands-on data quality and observability delivery, including monitoring/alerting and incident triage.
- Python, Py Spark, and advanced SQL for automation, data processing, and querying across multiple databases.
Good to Have:
- Databricks experience for building and operationalizing data quality checks in contemporary data platforms.
Education: Relevant degree (or equivalent experience) in Computer Science, Engineering, Statistics, or a related field.

📌 Data Management Strategy (Hyderabad)
🏢 MyCareernet
📍 Hyderabad