Job Purpose:
1. As part of AMESA/APAC Data and Digital Solutions team, the job requires driving the automation, Data Science, Data Modeling, Azure Data engineering agenda for the sDNA DIgital Product(Store DNA) and platform.He or She will also be aware of agile project delivery and Devops/CI-CD automation.
2. Work on Azure data engineering models/pipelines , automation , setting up Bronze->Silver->Golden layer on entire Azure platform.
a.Key skill sets like Azure data engineering, Azure Data bricks, Azure Synapse/SQL.
b.New Business Requirements / Demand Management / Estimations / Work Intake / Project delivery & sustain
c.In-depth technical knowldge of tools like Azure Data factory, Azure data bricks , Azure Synapse , SQL DB, ADLS , azure infra setup etc.
d.Deliver ETL solution including data extraction, transformation, cleansing, data integration and data management. Implement batch & near real time data ingestion pipelines based on reference architecture.
3.Ability to augment with new sources of data including internal/external untapped data.
4. Operationalize analytics models for production usage ,proper security & access control.
5.Nice to have skills Python, Scala, Java & with advance knowledge of SQL
Responsibilities
Accountability:
1.As part of AMESA/APAC Data and Digital Solutions team, the job requires driving the automation, Data Science, Data Modeling, Azure Data engineering agenda for the sDNA DIgital Product(Store DNA) and platform.
He or She will also be aware of agile project delivery and Devops/CI-CD automation.
2. Work on Azure data engineering models/pipelines , automation , setting up Bronze->Silver->Golden layer on entire Azure platform.
a.Key skill sets like Azure data engineering, Azure Data bricks, Azure Synapse/SQL.
b.New Business Requirements / Demand Management / Estimations / Work Intake / Project delivery & sustain
c.In-depth technical knowldge of tools like Azure Data factory, Azure data bricks , Azure Synapse , SQL DB, ADLS , azure infra setup etc.
d.Deliver ETL solution including data extraction, transformation, cleansing, data integration and data management. Implement batch & near real time data ingestion pipelines based on reference architecture.
4.Ability to augment with new sources of data including internal/external untapped data.
5. Operationalize analytics models for production usage ,proper security & access control.
6.Nice to have skills Python, Scala, Java & with advance knowledge of SQL
Qualifications
Qualification:
Bachelor’s degree in Computer Science, MIS, Business Management, or related field
8-10 years’ experience in Information Technology .
2-3 years’ experience in Azure Data engineering(BLOB/DATA bricks/ADF/Synapse/Delta Lake)
4-5 years experience in working on Data & Analytics projects
Experience:
. Work on Azure data engineering models/pipelines , automation , setting up Bronze->Silver->Golden layer on entire Azure platform.
a.Key skill sets like Azure data engineering, Azure Data bricks, Azure Synapse/SQL.
b.New Business Requirements / Demand Management / Estimations / Work Intake / Project delivery & sustain
c.In-depth technical knowldge of tools like Azure Data factory, Azure data bricks , Azure Synapse , SQL DB, ADLS , azure infra setup etc.
d.Deliver ETL solution including data extraction, transformation, cleansing, data integration and data management. Implement batch & near real time data ingestion pipelines based on reference architecture.
2.Ability to augment with new sources of data including internal/external untapped data.
3. Operationalize analytics models for production usage ,proper security & access control.
Must be a strong team player with effective teamwork skills
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