Senior Data Engineer - Azure Data Factory

Role & responsibilities

• Design and develop warehouse solutions using Azure Synapse Analytics, ADLS, ADF, Databricks, Power BI, Azure Analysis Services
• Should be proficient in SSIS, SQL and Query optimization.
• Should have worked in onshore offshore model managing challenging scenarios.
• Expertise in working with large amounts of data (structured and unstructured), building data pipelines for ETL workloads and generate insights utilizing Data Science, Analytics.
• Expertise in Azure, AWS cloud services, and DevOps/CI/CD frameworks.
• Ability to work with ambiguity and vague requirements and transform them into deliverables.
• Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently.
• Drive automation efforts across the data analytics team utilizing Infrastructure as Code (IaC) using Terraform, Configuration Management, and Continuous Integration (CI) / Continuous Delivery (CD) tools such as Jenkins.
• Help build define architecture frameworks, best practices & processes. Collaborate on Data warehouse architecture and technical design discussions.
• Expertise in Azure Data factory and should be familiar with building pipelines for ETL projects.
• Expertise in SQL knowledge and experience working with relational databases.
• Expertise in Python and ETL projects
• Experience in data bricks will be of added advantage.
• Should have expertise in data life cycle, data ingestion, transformation, data loading, validation, and performance tuning.

Please find the below Mandatory fields to be filled and shared with updated resume to careers@xpetize.com

Skill Set Required Must Have

1. Azure Data Factory:

2. Azure Databricks:

3. Azure Synapse:

4. ADLS :

5. Lakehouse Architecture:

6. Python:

7. SCD Concepts and implementation:

8. SQL, PL/SQL:

9. SSIS :

10. SSAS:

11. TFS :