Data Architect

Role- Databricks, Azure Data Engineering, ADF, ADB, Data Architecture

Location- Pan India

Year of Experience - 10 to 15 years

Skills Required - Databricks, AWS/Azure/GCP Cloud, Data Architecture

Job Description:

1. 10-15 years of total experience and at least 3+ years of expertise in Cloud data warehouse technologies

• Azure data platform covering – ADF, ADLS, Synapse, Microsoft Fabric, databricks etc.
• AWS data platform covering – Glue, EMR, RedShift, databricks etc. At least one End-to-end AWS data platform implementation is a must covering all aspects including architecture, design, data engineering, data visualization and data governance (specifically data quality and lineage).
• GCP data platform covering – Cloud Storage, Data Flow, Data Proc, BigQuery, etc.
• ignificant experience with data migrations and development of Operational Data Stores, Enterprise Data Warehouses, Data Lake and Data Marts.
• Good hands-on knowledge on SQL and Data Warehousing life cycle is an absolute requirement.
• Significant experience with data migrations and development, design, Operational Data Stores, Enterprise Data Warehouses and Data Marts.
• Experience with cloud ETL and ELT in one of the tools like DBT/ADF or Matillion or any other ELT tool and exposure to Bigdata ecosystem (Hadoop).
• Expertise with at least one of the Traditional data warehouses solutions on Oracle, Teradata, and Microsoft SQL server.