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Experience: 8+ years in Data Architecture, with at least 3+ years in Azure Data solutions.
Technical Expertise:
Exposure to hybrid cloud environments (Azure on-premises)
Key Requirements
Knowledge of data mesh and data fabric architectures.
What s in it for you
Pathways for Career Development
Making an Impact
A Supportive Environment
Job ID: 113306451
Skills:
Pyspark, Apache Spark, Sql, Rabbitmq, Rdf, Neo4j, Apache Kafka, Python, Airflow, GraphDB, owl, pgvector, Stardog, Great Expectations, Pinecone, Flink, AWS Glue DataBrew, Chroma, dbt, Dagster, Milvus, Weaviate, Apache Jena
Skills:
T-sql, SQL Server, Azure Data Factory, Databricks, Python, Etl, Logic App, Azure Data Lake Storage Gen2, Event Hub, Azure Monitoring, Azure Suite Fabric, Microsoft Purview, Stream Analytics, Data Explorer, CosmosDB
Skills:
Database Design, Data Governance, Data Architecture Principles, Integration methods, Security principles, Data storage solutions, Data modeling techniques
Skills:
Github, Power Bi, Pyspark, Datadog, Sql, Jenkins, Git, Azure Data Factory, Distributed Systems, Gitlab, Splunk, Python, cloud-based microservices, Batch Systems, Data Bricks, Synapse, CI CD pipeline, Dedicated SQL Pool, ADLS, Azure services, Spark Pool, cloud-native architectures
Skills:
Scala, Pyspark, Apache Spark, JIRA, Sql, Jenkins, Git, Confluence, Powerbi, Terraform, Gitlab, GCP Data Lake, MLflow, GCP Pub Sub, GCP Cloud Storage, Vector Databases, Delta Lake, Looker Studio