Posted:1 week ago|
Platform:
On-site
Full Time
Required Qualifications:
• 10 Years industry implementation experience with data integration tools such as Databricks ,
Azure Data Factory, etc.
• Design, implement, and maintain data pipelines for data ingestion, processing, and
transformation in Azure.
• Work together with data scientists and analysts to understand the needs for data and create
effective data workflows.
• Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and
Azure Blob Storage.
• Minimum of 5 years of data architecture, data modelling or similar experience
• Bachelor’s degree or equivalent experience, Master’s Degree Preferred
• Strong data warehousing, OLTP systems, data integration and SDLC
• Strong experience in big data frameworks & working experience in Spark or Hadoop or Hive (incl.
derivatives like pySpark (prefered), SparkScala or SparkSQL) or Similar, along with experience in
libraries / frameworks to accelerate code development
• Experience using major data modelling tools (examples: ERwin, ER/Studio, PowerDesigner, etc.)
• Experience with major database platforms (e.g. SQL Server, Oracle, Azure Data Lake, Hadoop,
Azure Synapse/SQL Data Warehouse, Snowflake, Redshift etc.)
• Strong experience in orchestration & working experience in either Data Factory or HDInsight or
Data Pipeline or Cloud composer or Similar
• Understanding and experience with major Data Architecture philosophies (Dimensional, ODS,
Data Vault, etc.)
• Understanding of modern data warehouse capabilities and technologies such as real-time, cloud,
Big Data.
• Understanding of on premises and cloud infrastructure architectures (e.g. Azure, AWS, GCP)
• Strong experience in Agile Process (Scrum cadences, Roles, deliverables) & working experience in
either Azure DevOps, JIRA or Similar with Experience in CI/CD using one or more code
management platforms
• 3-5 years’ development experience in decision support / business intelligence environments
utilizing tools
Manuh Technologies
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