Job
Description
Responsibilities
- Azure certified data engineering professional
- Experience on ADLS, Azure Databricks, Azure SQL DB and Data warehouse(Azure Synapse Analytics)
- Good knowledge of SQL Server development, Azure Data Factory, Azure Automation, Power-shell scripting, SQL databases
- Experience on Python scripting, Spark SQL & PySpark
- Knowledge in ETL tools (SSIS, Talend etc)
- Good to have knowledge on Automation Runbooks
- Have in-depth ELT Processing
- Good expertise in Data warehousing/Dimensional Modelling
- Have an overview in all Azure technologies
- Have knowledge in Azure Storage services (ADLS, Storage Accounts)
- Should have experience in Agile projects with knowledge in Jira
- Must have handled Data Ingestion projects in Azure environment
- Prefer someone has knowledge on GitHub Integration with Azure DevOps
Qualifications/Minimum qualifications
- Domain Consumer Goods, Life Sciences, Manufacturing, Banking& Capital Markets
Preferred Skills
- Ability to communicate efficient with customers key Business and IT folks to present/defend architecture/design
- Familiar with tools such as Jira, Visio, Jenkins etc.
- CI/CD- Azure Pipeline
- Good solid grasp on Azure Monitor, Redis Cache, Load Balancer, Application Gateway, Azure Functions, Azure Data Factory Integrations
- Knowledge of microservices and API development
- Excellent analytical, problem solving, communication and ability to communicate efficiently with individuals, business and can work as part of a team as well as independently.
- With CI/CD pipelines such as Jenkins
- Experience No SQL and Document databases..
Please share your updated CV with the below details:
Current CTC:
Expected CTC:
Joining TIme:
Current Location:
Preferred Location:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.