Senior Data Engineer

Responsibilities:

• Work 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 Skills:

• Strong SQL skills and experience working with relational databases including on-prem SQL Server and Azure cloud.
• Practical 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.

Preferred:

• Experience 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.