Years of Experience: 16 - 19 Years

Position Requirements:

Must Have Skills:
Proficient with Azure Data Services, Databricks, and Snowflake.
Experience with deep understanding in both traditional and up-to-date data architecture and processing concepts including relational databases (e.g., SQL Server, MySQL, PostgreSQL), Data warehousing, big data, NoSQL and business analytics
Rich experience working in Azure ADLS, Data Bricks, Data Flows, HDInsight, Azure Analysis services
Experience in building stream-processing systems, using solutions such as Storm or Spark-Streaming
Understanding of big data use-cases and Lambda/Kappa design patterns
Knowledge of real time/stream analytics trends.
Architecture, design, implementation, and/or support of complex application architectures (i.e. having an architectural sense for connecting data sources, data visualization, structured and unstructured data, etc.)
Demonstrable hands-on experience implementing Big Data solutions using Microsoft Data Platform and Azure Data Services

Azure SQL DB, Azure Synapse Analytics,



Azure HD Insight, Azure Data Lake Storage, Azure Data Lake Analytics, Azure Machine Learning, Stream Analytics, Azure Data Factory, Azure CosmosDB and Power BI
Exposure to Open-Source technologies such as Apache Spark, Hadoop, NoSQL, Kafka, Solr/Elastic Search
Drive adoption and rollout of Power BI dashboards, standardizing reporting and enabling self-service BI capabilities for finance stakeholders.
Should be well versed with quality processes and implementation
Excellent communication skills
Business / domain knowledge in Financial Services Domain with familiarity with data compliance standards (PCI DSS, GDPR, etc.)
Valuable knowledge of Application DevOps tools (Git, CI/CD Frameworks) - Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit
Positive understanding of Data Modeling and Data Architecture

📌 Snowflake+cortex Senior Manager Hyderabad (India)
🏢 PwC
📍 India