Data Engineer
4 weeks ago
At Talent Pal, we are seeking a highly skilled Data Engineer to join our team. As an Azure Data Engineer, you will be responsible for governing and solutioning complex new data sources with a variety of SAP and non-SAP source systems and quickly turning these into business insights-ready data sets.
Key Responsibilities:
- Partner with the product owner, scrum master, and solution architect to deliver solutions.
- Understand business requirements and review and analysis of business requirements and design technical solutions.
- Responsible for governance of the technology implementation of the solution designs.
- Work with internal and external implementation team members and partners to contribute to the development, testing, and deployment of solutions.
- Adhere to software development and maintenance standards by maintaining a comprehensive knowledge of internal and external development best practices.
- Estimate and deliver multiple project assignments and system change requests as per agreed resourcing and timelines with required quality.
- Perform detailed analysis of structured, semi-structured, and unstructured data sources for quality, completeness, and business value.
- Responsible for governance and implementing robust data pipelines using Microsoft toolset and Databricks.
- Responsible for creating reusable and scalable data pipelines.
Requirements:
- Expertise in Azure Stream Analytics is desirable.
- Knowledge on Scala is desirable.
- Strong analytic skills related to working with unstructured datasets.
What You Will Need:
- Expertise in data ingestion, data processing, and analytical pipelines for big data, relational/non-relational databases, and data warehouses solutions.
- Experience in designing and hands-on development in cloud-based analytics solutions.
- Designing and developing warehouse solutions using Azure Synapse Analytics, ADLS, ADF, Databricks, Power BI, and Azure Analysis Services.
- Build workflows using data from a wide variety of sources, including on-premise databases and external data sources with REST APIs and harvesting tools.
- Knowledge of DevOps processes (including CI/CD) and Infrastructure as code is essential.
- Hands-on experience with Agile software development.
- Thorough understanding of Azure/AWS Cloud Infrastructure offerings.
- 8 years of experience in Azure and Databricks.
- Minimum 5 implementation experiences from conceptualization to delivery of analytics capabilities on Azure platform.
- Bachelor's degree in Computer Science or allied field of study.
- Knowledge of SAP, IS Auto, SAP FICO, SAP BW/BO, Tableau, Power BI, Scala will be considered as added advantage.
- Certification on Azure platform toolsets will be considered as added advantage.
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