Lead Data Architect for Modern Data Warehousing
2 weeks ago
At GyanSys Inc., we are seeking an experienced Lead Data Architect to lead our overseas customers consulting projects based in the Americas, Europe, and APAC regions. The successful candidate will have a proven track record of building ETL/data warehouse transformation processes using Azure Databricks, Apache Spark, and other open-source big data products.
Key Responsibilities:
- Design and implement data pipelines using Azure Data Factory and Apache Spark (preferably Databricks)
- Evaluate the performance and applicability of multiple tools against customer requirements
- Work within an Agile delivery/DevOps methodology to deliver proof of concept and production implementation in iterative sprints
- Coding complex U-SQL, Spark (Scala or Python), and T-SQL
- Develop Modern Data Warehouse solutions using Azure Stack (Azure Data Lake, Azure Data Factory, Azure Databricks, Power BI)
Requirements:
- 7-13 years of experience in building ETL/data warehouse transformation processes
- Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably Databricks)
- Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala)
- Coding complex U-SQL, Spark (Scala or Python)
- T-SQL
- Developing Modern Data Warehouse solutions using Azure Stack (Azure Data Lake, Azure Data Factory, Azure Databricks, Power BI)
Location: Bengaluru, Hyderabad, India (WFO/Hybrid)
Notice Period: 0-30 days
We offer a competitive salary of approximately ₹20 lakhs - ₹35 lakhs per annum for this role, commensurate with experience. If you have a strong background in data architecture and experience working with Azure Databricks, we encourage you to apply.
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