10 - 15 years
32 - 47 Lacs
Posted:1 week ago|
Platform:
Hybrid
Full Time
* Architect end-to-end data solutions on Azure, leveraging services like Azure Data
Factory, Azure Databricks, Azure Synapse Analytics, and ADLS Gen2.
* Design and implement modern data architectures, including Data Lakehouse and
Medallion (BronzeSilver–Gold) architectures.
* Define standards for data ingestion, transformation, and storage across
structured, semi-structured, and unstructured data.
* Ensure alignment of data solutions with enterprise data strategy, security, and
compliance frameworks.
* Lead proof-of-concept (PoC) and architecture review sessions for new projects.
* Build and maintain scalable, fault-tolerant ETL/ELT pipelines using Azure Data
Factory (ADF) and Azure Databricks (PySpark).
* Implement real-time and batch data ingestion using Azure Event Hubs, Kafka, or
Stream Analytics.
* Manage data transformations and curation layers for consumption by BI, AI/ML,
and analytics teams.
* Apply data partitioning, indexing, caching, and query tuning techniques to
optimize performance.
* Automate data workflows and orchestrations using CI/CD pipelines and
infrastructure as code.
* Establish and enforce data governance standards, including data lineage,
metadata, and stewardship.
* Implement data quality frameworks and validation checks at ingestion and
transformation stages.
* Drive adoption of Azure Purview (or Microsoft Fabric governance) for cataloging
and classification.
* Ensure security and compliance with policies (e.g., GDPR, HIPAA) using Azure
RBAC, AAD, and Key Vault.
* Promote data observability and monitoring practices for proactive issue
detection.
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