
Azure Databricks
5 days ago
**Skills required to contribute**:
7-9 Years of Data and Analytics experience with minimum 4 years in Azure Cloud
- Excellent communication and presentation skills.
- Extensive experience in Azure stack - ADLS, Azure SQL DB, Azure Data Factory, Azure Data bricks, Azure Synapse, CosmoDB, Analysis Services, Event Hub etc.
- Experience in job scheduling using Oozie or Airflow or any other ETL scheduler
- Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala.
- Good experience in designing & delivering data analytics solutions using Azure Cloud native services.
- Good experience in Requirements Analysis and Solution Architecture Design, Data modelling, ETL, data integration and data migration design
- Documentation of solutions (e.g. data models, configurations, and setup).
- Well versed with Waterfall, Agile, Scrum and similar project delivery methodologies.
- Experienced in internal as well as external stakeholder management
- Experience in MDM / DQM / Data Governance technologies like Collibra, Atacama, Alation, Reltio will be added advantage.
- Azure Data Engineer or Azure Solution Architect certification will be added advantage.
- Nice to have skills: Working experience with Snowflake, Databricks, Open source stack like Hadoop Bigdata, Pyspark, Scala, Python, Hive etc.
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