Info

• Start: ASAP
• Period: long-term
• Seniority: senior L1-L3
• Project: Digital Transformation (Banking)
• Remote: 2 Home, 3 Office
• Recruitment process: 1st - Abesse screening, 2nd - online Client's tech interview, 3rd - online team fit round

Task

• Collaborate across squads to define data requirements, roadmaps, use cases, and metrics for data products or features.
• Design and document data models, schemas, and flows that meet business and analytical needs.
• Extract, transform, and load data from various sources using query languages, tools, and APIs.
• Ensure data quality, completeness, and reliability across data pipelines.
• Develop and implement data tools, tests, and monitors to optimize data performance and troubleshoot issues.
• Comply with data governance policies and standards for data security, privacy, and classification.
• Contribute to the data glossary and data catalog to document data sources, definitions, and lineage.

Requirement

• Bachelor's or Master's degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field
• Experience in data engineering, data science, software development or data modeling
• Knowledge of programming languages, such as Python, Java, Scala or C#
• Knowledge of Microsoft Azure data platform
• Experience with data tools and frameworks, such as Databricks, Spark, Kafka
• Knowledge of SQL data query language
• Experience with Azure Data Lake, Azure Data Factory
• Experience with data governance and compliance standards, such as GDPR Additional/Prefered Qualifications
• Intermediate or above level of English is a must
• Strong communication, collaboration, and problem-solving skills

Plus

• Relevant Microsoft Cloud certifications
• Experience with data visualization tools, such as Power BI