Data Engineer

Innergy Consulting Pte.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A technology consultancy firm in Singapore is seeking a Data Engineer to drive multi-cloud projects and contribute to digital transformation. This role involves designing data solutions, implementing Azure cloud technologies, and ensuring accessible data for analysis. Candidates should possess a degree in computer science and 3-5 years of relevant experience. The position offers a stimulating environment with opportunities for professional growth alongside a skilled team. Competitive compensation and a 5-day work week are provided.

Benefits

Good corporate culture

5-day work week

AWS and variable bonus

Qualifications

• 3 to 5 years of experience as a Data Engineer.
• Ability to translate business requirements into technical solutions.
• Expertise in data mapping and analytics within business processes.

Responsibilities

• Translate business requirements into technical solutions.
• Evaluate business procedures for improvement opportunities.
• Design and build Data Pipelines and Data Services.

Skills

Azure Data and Analytics services

Data pipeline construction

Data manipulation with SQL

Python programming

Power BI

DevOps processes

Education

Bachelors degree in computer science or Computer Engineering

Tools

Azure Data Factory

Azure Synapse Analytics

SSIS

Visual Studio

Job description

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. As we embark on this journey, we invite individuals who aspire to shape their careers alongside us, fostering growth within a dynamic and entrepreneurial culture. Collaborate with global experts and gain access to cutting-edge technologies in a role that fuels ambition.

In the capacity of a Data Engineer, you will contribute to project implementation by collecting, aggregating, storing, and facilitating accessible data from diverse sources for analysis and decision-making. This role's significance extends to the data supply chain, ensuring stakeholders can easily access and manipulate data for routine and ad hoc analysis. Your involvement spans the entire data lifecycle, encompassing data ingestion, analytics, and actionable insights.

Responsibilities

• 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.

Requirements

• Bachelors degree in computer science /Computer Engineering, or equivalent.
• 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.

Others

• MNC, good corporate culture and 5-day work week (Town area).
• With AWS and variable bonus.

To apply, please send your CV to [e-mail]

We regret that only shortlisted candidates will be notified. Thank you for your understanding.