Data Engineer

ResponsibilitiesWork closely with business stakeholders to understand requirements, translate them into clear data questions, and deliver actionable insights and recommendations.Analyze large data sets using SQL and Python to identify trends, patterns, and anomalies that support decision-making.Design, develop, and maintain data pipelines and ETL workflows (including SSIS and other integration processes) to extract, transform, and load data from multiple sources into centralized data stores.Use Azure services (e.g., Azure Data Factory, Azure Data Lake Storage, Azure SQL Database, Databricks) to build and support scalable, reliable data solutions.Perform data profiling, validation, and cleansing to ensure data quality and integrity; investigate and resolve data-related issues.Develop and maintain logical data models, schemas, and data dictionaries to support consistent understanding and use of data.Optimize queries and data processes for performance and cost efficiency.Document data flows, processes, and solutions, and communicate technical concepts in clear business language.Collaborate with cross-functional teams in an Agile environment and manage work using tools such as Jira and Confluence.Required SkillsStrong SQL skills and experience working with relational databases both on-prem SQL Server and Azure SQLPractical experience with Python for data analysis, transformation, and automation.Hands-on experience with Azure data services (e.g., Data Factory, Data Lake, Databricks) and ETL/ELT concepts.Experience developing and maintaining SSIS packages or similar integration workflows.Solid understanding of data warehousing concepts and data modeling fundamentals.Ability to partner with business teams, gather requirements, and present analytical findings clearly.Strong analytical, problem‑solving, communication, and interpersonal skills; ability to handle multiple priorities.PreferredExperience in banking or financial services.Familiarity with JSON and APIs/REST.Experience with version control and CI/CD tools (Azure DevOps, GitHub, Jenkins).Exposure to containerization and scripting (Docker, Kubernetes, Bash/PowerShell) is a plus.