Data Quality Consultant with expertise in IoT, Cloud, and Snowflake to ensure high-quality, reliable, and secure data pipelines. The candidate will be responsible for implementing data validation, governance, and anomaly detection frameworks for large-scale IoT datasets. Key Responsibilities: Define data quality strategies and frameworks for IoT and cloud-based systems. Develop data validation, cleansing, and enrichment pipelines in Snowflake and Cloud platforms. Implement data governance policies for structured and unstructured IoT data. Monitor data lineage, consistency, and integrity across multiple sources. Automate data profiling, reconciliation, and anomaly detection mechanisms. Collaborate with data engineers and business analysts to optimize IoT data models. Define and implement metadata management and ensure compliance with data privacy regulations. Required Skills: Cloud Platforms: AWS, Azure, or Google Cloud Data Platforms: Snowflake, Databricks IoT Data Quality: Stream processing, anomaly detection Data Governance & Compliance: ISO 27001,ISA95 Data Integration & ETL: Informatica,Airflow Scripting & Automation: Python, SQL Monitoring & Logging: AWS CloudWatch,
Employement Category:
Employement Type: Full time Industry: IT Services & Consulting Role Category: Not Specified Functional Area: Not Specified Role/Responsibilies: Data Quality manager - IOT, Cloud- Work
Contact Details:
Company: Capgemini Engineering Location(s): Other Maharashtra