Senior Data Lead - Azure Data Factory/Databricks (8-12 yrs)

Qualifications :

- Databricks hands on experience as Technical Lead is mandate

- Snowflake hands on experience as Senior Development Lead is mandate

-Hands on experience in development of Azure cloud DWH & datalakes using Azure technologies like Spark (Scala or Python), ADF, Azure Databricks, Terraform & CI/CD.

- Experience and exposure for Solution, Design and Building data Lakehouse architecture on the cloud. Handling large volumes of data and performance tuning on Databricks.

- Design and develop automation to support continuous delivery and continuous integration process when it comes to cloud infrastructure.

- Should be able to lead teams to build and maintain CI/CD pipelines to support automated deployment of infrastructure (DevOps) and Infrastructure as Code (laC) using Terraform and Enterprise Github

- Understanding of Azure Database technologies (both laaS and PaaS) and options to support the migration process. This will include and not limited to Azure database migration technologies and refactoring options.

- Build effective monitoring, logging and auditing of production systems to ensure compliance with mandated compliance policies (e.g., HIPAA).

- Excellent problem-solving skills and ability to think analytically.

- Strong communication and collaboration skills to work effectively across teams.

Good to have :

- Finance domain experience (Accounts Payable /Accounts Receivables/General ledger) / Oracle ERP

- Azure Certifications are plus

- Event hub, Data streaming

- Data Encryption

- Knowledge of SQL Server, Oracle etc. other databases is a plus.

- Strong programming skills in Pyspark, Python, writing complex queries in Azure SQL database, T-SQL queries.

- Experience in coding complex U-SQL, Spark (Scala or Python). T-SQL, SQL Server experience