Job Description -Must Have-Databricks-Advanced PySpark, Spark SQL, Delta Lake, Unity Catalog, Databricks Workflows/Jobs, performance tuning -Must Have-Azure Data Factory-Pipeline development, orchestration, parameterisation, monitoring, error handling, incremental loading. -Must Have-SQL-Strong analytical SQL, data modelling, window functions, CTEs,
Role Summary: Collections Specialist will play a key role in optimizing collections strategies across the telecom debt lifecycle by analyzing existing collections populations to uncover behavioral patterns, segment-level trends, and strategic gaps. This role will leverage risk analysis
Job Description 1.Experience in MS Fabric, Azure Data factory, Azure Databricks, Azure Synapse , Azure Storage Services, Azure SQL, ETL, Azure Cosmos DB, Event HUB, Azure Data Catalog, Azure Functions, Azure Purview 2. Create Pipelines, datasets, dataflows,
Job Description 1. Design and implement data governance, cataloging, classification, and lineage solutions. 2. Configure and manage data discovery, scanning, and metadata management across diverse data sources. 3. Define and enforce data classification, sensitivity labels, and
Job Description Role Overview The Techno‑Functional Lead will be responsible for bridging the gap between business stakeholders and technical teams, driving solution design, proof‑of‑concepts, and delivery of advanced data engineering and analytics solutions. This role requires