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Azure Data Engineer

3 months ago

India TASC Outsourcing Full time

Sr. Data Engineer

12 months

Remote

DUBAI client

Purpose:

The Data Engineer will be responsible develop semantic models on top of Data lake/Data warehouse to fulfill the self-service BI foundation requirements. Data extraction from the various data sources and integration into the central data lake / data warehouse using enterprise platform like Informatica iPaaS.

Responsibilities :

• Designing data warehouse data model based on the business requirements

• Designing, developing, and testing both batch and real-time Extract, Transform and Load (ETL) processes required for the data integration

• Ingesting of both structured and unstructured data into SMBU data lake / data warehouse system

• Designing and Developing Semantic Models/Self Service Cubes

• Performing BI administration and access management to make sure access and reports are properly governed.

• Performing Unit Testing and Data Validation to ensure Business UAT are successful

• Performing ad-hoc data analysis and presenting results in a clear manner

• Assessing data quality of the source systems and proposing required enhancements to achieve satisfying level of the data accuracy

• Optimizing ETL processes to ensure execution time is meeting the requirements

• Maintaining and architecting ETL pipelines to make sure data is loaded on time on regular basis.

• Understanding the business requirements and quickly translating to technical specification for timely delivery of different initiative

Key Technical Skills:

• Experience with working Microsoft Azure Synapse and other Azure Cloud Services for BI/Data domain

• Expert in designing, developing, and deploying Microsoft Azure Analysis Services tabular model cubes

• Expert in using Visual Studio Data Tools (SSDT), Dax Studio, Power BI Desktop and Power Query

• Expert in writing optimized DAX expressions for optimized tabular models

• Expert knowledge in writing simple to complex aggregated SQL queries based on requirements

• Experience with different relational databases such as Oracle, SQL Server etc.

• Expert knowledge in Informatica iPaaS, Oracle Data Integrator, Informatica and other ETL tools like Azure Data Factory etc.

• Experience in writing Python scripts for bringing data from different API and rest services

• Experience in working with Big Data Technologies like Hive, Presto and Spark etc.

Technical proficiency :

  1. Proven experience in development of the dimensional models in Azure Synapse with strong SQL knowledge

• Minimum of 3 years working as a Business Intelligence (BI) developer with Azure ecosystem.

• Preferable 3 year of experience with data warehousing, ETL development, SQL Queries, Synapse, ADF, PySpark, Informatica iPaaS for data ingestion & data modelling.