Data Analyst (Azure)

Description:

Job Summary

Responsible for the design, development and support the implementation and maintenance of cloud data platform pipelines and data models both globally and across different markets/countries.

• Design, develop, document and implement end-to-end data pipelines and data integration processes, both batch and real-time. This includes data analysis, data profiling, data cleansing, data lineage, data mapping, data transformation, developing ETL / ELT jobs and workflows, and deployment of data solutions.
• Monitor, recommend, develop and implement ways to improve data quality including reliability, efficiency and cleanliness, and to optimize and fine-tune ETL / ELT processes.
• Recommend, execute and deliver best practices in data management and data lifecycle processes, including modular development of ETL / ELT processes, coding and configuration standards, error handling and notification standards, auditing standards, and data archival standards.
• Ensure development adheres to guidelines and governance policies on data and business intelligence platform.
• Collaborate with IT team members, SMEs, vendors and internal business stakeholders, to understand data needs, gather requirements and implement data solutions to deliver business goals.
• BAU supports any data issues and change requests, documents all investigations, findings, recommendations and resolutions.
• Support daily operation incidents and service requests.

• Hands-on experience on Azure Data Solution such as Azure Synapse Spark, Synapse DB, Data Factory, Databricks, Azure Lake Storage and Power BI.
• Experience with various ETL/ELT frameworks, data warehousing concepts, data management framework and data lifecycle processes.
• Experienced in handling and processing different types of data (structured, semi-structured and unstructured).
• Utilized Azure DevOps to implement CI/CD workflows and deployment of ETL jobs across multiple environments.
• Strong knowledge in various database technologies (RDBMS, NoSQL and columnar).
• Proficient in ETL programming languages like Python, PySpark and SQL.
• Experience with Microsoft Fabric is an added advantage.
• Ability to communicate and present technical information in a clear and unambiguous manner.
• Strong ability to work independently and cooperate with diverse teams in a multiple stakeholder environment.
• Strong sense of work ownership, high affinity with any data and a desire for constant improvements.
• Experience with SAP data sources preferred.

• Bachelor's degree in computing/information technology or equivalent.