Azure Data engineer

Singaporemid

OtherAzure Data Engineer

0 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Data Analysis and Interpretation: Perform in-depth analysis of structured and unstructured data sets to identify trends, patterns, and valuable insights that drive business decisions and strategies.

Requirements Summary

Stay abreast of industry trends and best practices in data analysis and engineering. Suggest and implement process improvements to enhance data quality, efficiency, and overall performance.

Technical Tools

OtherAzure Data Engineer

Responsibilities

~2 min read

→Data Analysis and Interpretation: Perform in-depth analysis of structured and unstructured data sets to identify trends, patterns, and valuable insights that drive business decisions and strategies.
→Data Visualization and Reporting: Develop intuitive and visually appealing dashboards, reports, and presentations to communicate complex data analyses to stakeholders, enabling data-driven decision-making at all levels of the organization.
→Data Modelling and Transformation: Design, implement, and maintain data models, ETL pipelines, and data integration processes, ensuring data accuracy, integrity, and accessibility.
→Data Quality Assurance: Implement rigorous data validation and cleansing procedures to ensure the accuracy and reliability of the data used for analysis and reporting.
→Identify Data Needs: Collaborate with stakeholders across various departments to understand their data requirements and deliver insights that align with their business objectives.
→Continuous Improvement: Stay abreast of industry trends and best practices in data analysis and engineering. Suggest and implement process improvements to enhance data quality, efficiency, and overall performance.
→Data Security & Compliance: Implement, maintain, and monitor data security and privacy measures on data platform.
→Cross-functional Supports: Collaborate with other teams to ensure the successful execution of projects and initiatives.
→Operational supports: Maintain and support day to day operational on data platform, including:
→Monitoring data pipelines, databases, and analytical processes to ensure smooth and continuous operation.
→Identify and resolve data-related issues, performance bottleneck, and data quality problems promptly.

Requirements

~2 min read

Bachelors degree in Computer Science, Data Science, Statistics, or a related field.
At least 5 years working experience in data platform, data analytics or relevant projects.
Proven experience as a Data Analyst, with a track record of translating complex data sets into actionable insights.
Strong proficiency in data visualization tools (e.g., Tableau, Power BI, or similar) to create compelling data visualizations and reports.
Solid programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
Prior experience as a Data Engineer, with a demonstrated ability to design and implement data models, ETL processes, and data integration solutions.
Familiarity with cloud-based data platforms (e.g., Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent) and data storage technologies (e.g., SQL databases, NoSQL databases).
Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud (Dataphin) is a plus.
Excellent problem-solving skills and the ability to work with large, complex data sets.
Strong attention to detail, ensuring data accuracy and reliability in all analyses.
Effective communication skills to convey complex technical concepts to non-technical stakeholders.
Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
Certified in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks or equivalent.