Our client is embarking on an exciting multi-year program, encompassing the creation of multi cloud-native projects that stand as integral components of their Business & Digital Transformation initiative. This endeavor, facilitated by strategic partnerships with leading software developers, seeks to leverage agile methodologies, microservices architecture, and Azure DevOps to establish our client as a digital frontrunner in their industry.
We are looking for an experienced and self-driven Data Engineer for our client, who will contribute to their project implementation by collecting, aggregating, storing, and facilitating accessible data from diverse sources for analysis and decision-making. He/she can expect to be involved in the entire data lifecycle, encompassing data ingestion, analytics, and actionable insights. This role’s significance extends to the data supply chain, ensuring stakeholders can easily access and manipulate data for both routine and ad hoc analysis.
- Translate intricate business requirements into technical solutions, harnessing your robust business acumen.
- Evaluate existing business procedures and practices while identifying forthcoming business prospects that can leverage Microsoft Azure Data & Analytics PaaS Services.
- Contribute to the planning and execution of data design services, offering guidance on sizing, configuration, and conducting need assessments.
- Champion the creation of architectures that transform and modernize enterprise data solutions through Azure cloud data technologies.
- Design and construct contemporary Data Pipelines, Data Streams and Data Service APIs.
- Develop and manage data warehouse schematics, layouts, architectures, and both relational and non-relational databases for data accessibility and advanced analytics.
- Facilitate data exposure to end-users using platforms like PowerBI, Azure API Apps, or other modern visualization tools.
- Implement metrics and monitoring protocols that yield effective results.
- Bachelor’s degree in computer science /Computer Engineering, or equivalent.
- Agile, Azure/MS Certifications.
- A proven track record of 3 to 5 years in the Data Engineer domain.
- Demonstrated expertise in translating business use cases and requirements into effective technical solutions.
- Experience in mapping data and analytics solutions within business processes.
- Proficiency in applying methods that address business challenges by utilizing one or more Azure Data and Analytics services, complemented by data pipeline construction, data stream integration, and system harmony.
- Proficiency in various programming languages and data manipulation tools to ensure data integrity, quality, and efficiency.
- Proficiency in Cloud Data Transformation using tools such as Azure Data Factory, Azure Synapse Analytics, and SSIS.
- Proficiency in composing articulate SQL scripts and Stored Procedures to achieve desired data transformations.
- Competence in tools like SSMS and strong aptitude in Python.
- Familiarity with DevOps processes including CI/CD and Infrastructure as Code fundamentals.
- Familiarity with Data Governance tools like Microsoft Purview, Master Data Management (MDM), and Data Quality processes.
- Essential knowledge of Power BI and Embedded Power BI is necessary.
- Proficiency in Azure Data Lake and Azure SQL/SQL MI is mandatory. Additional experience with Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, and Azure Stream Analytics is a plus.
- Understanding of data modeling, database management, performance optimization, and integration with other applications.
- Preferred experience in preparing data for Data Science and Machine Learning applications; experience with Azure Machine Learning / Azure Databricks is advantageous.
- Effective collaboration within cross-functional teams, including remote collaborations.
- Proficiency in Visual Studio, PowerShell Scripting, and ARM templates.
- MNC, good corporate culture and 5-day work week (Town area).
- With AWS and good performance bonus & staff benefits.
We regret that only shortlisted candidates will be notified. Thank you for your understanding.