Tyde Digital, a reputable digital transformation consultancy, is seeking a highly analytical and detail-oriented Data Engineer to join our fast growing team.
In this role, you will be responsible for developing, implementing, and optimizing data pipelines with multiple endpoints, while also serving as a data analyst to extract actionable insights from our data assets. If you have a passion for both engineering robust data infrastructure and unraveling the stories hidden within the data, we invite you to join our team.
Responsibilites:
Data Pipeline Development: Design and implement scalable and efficient architecture for data pipelines, ensuring seamless data flow across multiple endpoints
Micro-service and API Development: Create and deploy micro-services and APIs to facilitate data transfer and integration between various systems
Data Transformation: Perform data transformation activities, including data cleansing, data mining, and data processing, utilizing a variety of technologies and tools
Reporting and Visualization: Develop reporting tools using a range of Business Intelligence (BI) tools such as Power BI, Tableau, QlikView, and others
KPI Identification: Identify and present key performance indicators (KPIs) based on existing data points and datasets
Data-Driven Insights: Provide valuable insights derived from data analysis and contribute to strategic decision-making processes
Continuous Improvement: Collaborate with cross-functional teams to drive changes and enhancements based on data-driven findings
Please only apply for this role if you meet the following requirements:
Requirements
Bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, Information Technology) or equivalent experience
3+ years of experience in data engineering
Proven experience in data engineering, data analysis, or a related role
Proficiency in data pipeline development, including ETL processes
Strong programming skills in languages such as Python, C#, or Java
Experience in extracting applicable data from databases using SQL
Experience in cloud environment (AWS/GCP/Azure)
Experience with BI tools like Power BI, Tableau, or similar platforms
Excellent data visualization and communication skills
Strong problem-solving abilities and attention to detail
Ability to work collaboratively in a cross-functional team environment
Knowledge of data governance and security best practices is a plus
Excellent verbal and written communication skills
APPLY FROM LINK BELOW
https://ae.linkedin.com/jobs/view/data-engineer-at-tyde-digital-3727898864?
