Data Engineer

• Minimum of 4 years work experience as a Data Engineer & 3+ years’ experience in Data Warehouse design and development for large-scale complex Data Platform. Experience with star schemas, dimensional modeling, and extract transform load (ETL) design and development.
• Expertise in cloud-based data platforms, such as Google, AWS, & Azure. In-depth knowledge of data modeling concepts and techniques, including relational, dimensional, and NoSQL data models
• Experience with open table formats like Iceberg, Hudi and Delta.
• Understanding of major programming/scripting languages like Java and/or R.
• Expert with data integration technologies like Kafka and Spark.
• Experience working with RDBMS like Oracle, SQL Server, MySQL and Postgres.
• Developer will be responsible for developing the Cloud Data warehouse using Google or Azure Platform.
• Candidate should be familiar with Python, Spark, Sql, No SQL, Dataproc, Airflow, DAG's, Automations, API integrations, Jupiter notebook, Databricks.
• Good to have knowledge working on large datasets, data pipeline optimization/performance tuning, Azure / Google DWH & Data Lakes, Analytics
• Experience working on Azure/Google Cloud services IaaS, PaaS
• Understand organization strategy and ability to design information systems to deliver the strategy on Azure/Google Platform
• Identify high-level business needs and lead the creation of detailed functional specs and other documentation, such as requirement traceability matrix, work-flow diagrams, use-cases etc
• Experience developing integration architecture and plan the system integration with third-party solutions and services. Involvement in various cloud Infrastructure architecture with proven experience with designing solutions in line with Azure/Google architecture
  

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R1613435