Skillsets:

Hands on experience in Data Analysis ( Data Modelling/ Mapping)

Hands on experience in writing SQL queries

Understanding of Database concepts

Techno-Functional analyst who can create data set based on the requirements from single or multiple source systems.

Basic Understanding of Azure Services (Databricks, ADF, ADLS) and storage Synapase

Expectations:

• The DA should be able to liaise with the Source system/ETRM SME to produce mapping sheet which would inturn be used by the development team to work on ETL activities within Azure Data Lake.

• The DA should have the knowledge to understand various functional terminologies of Trading and Supply which would help them map the respective column as demanded by the use-case.

• The DA should be able to create SQL queries which would be used while validating the data that is ingested within the Data Lake.

• The DA should be able to clarify the queries of the development and the testing team while performing their respective activities.

• The DA should be able to provide support the team members from different timezones.

• The DA should be mid-senior level resource who can take up more responsibilities as needed.

• Have experience working in Agile teams and ceremonies

• Have experience defining IT solutions, either business processes or logical sequence of automated processes

• Autonomous (i.e. a self-starter)