Data Engineer :

- Fully conversant with big-data processing approaches and schema-on-read methodologies is a must and knowledge of Azure Data Factory / Azure Databricks (PySpark) / Azure Data Lake Storage (ADLS Gen 2).

- Good to have an excellent development skill and extensive hands-on development and coding experience in a variety of languages, e.g., Python (compulsory PySpark), SQL, Power BI DAX (good to have), etc.

- Experience implementing robust ETL / ELT pipelines within Azure Data Factory / Azure Synapse Pipelines.

- Should know about Reporting Solutions such as Power BI / Tableau.

Roles and Responsibilities :

- Experience in Designing, implementing, and delivering solutions on batch and streaming data.

- Good to have - Experience in working on Data Warehouse using different data modelling techniques (Kimball, SCD2 (Slowly Changing Dimensions)).

- Work in collaborative and Agile environment to deliver data products.

- Ensuring that client deliveries are made on time, with quality.

- Align with organization's vision for data practices and work towards improvising skills as needed.