We are looking for a skilled Cloud Data Engineer with expertise in Databricks , Power BI , and T-SQL to join a dynamic team in the banking sector . This role will involve designing and managing data pipelines, working with business teams to ensure seamless data integration, and supporting data-driven decision-making. Ideal candidates will have hands-on experience with cloud technologies, banking data, and business intelligence tools.
Key Responsibilities:
- Data Engineering:
- Design and implement scalable ETL data pipelines using Databricks.
- Write and optimize T-SQL scripts for data extraction and manipulation in the cloud.
- Develop and maintain Power BI dashboards and reports to meet business requirements.
- Ensure data integrity, security , and compliance with banking industry standards.
- Collaboration with Business Teams:
- Work with stakeholders to understand business needs and deliver actionable insights.
- Translate business requirements into technical solutions.
- Support decision-making by providing accurate and timely data.
- New Production Environment Setup:
- Assist in deploying data pipelines and business intelligence tools to a new cloud-based production environment.
- Ensure smooth data migration, optimizing for scalability and cost-efficiency .
- Cloud Solutions & Integration:
- Manage cloud resources (AWS, Azure, GCP) for data storage and analytics.
- Integrate data from multiple sources, ensuring clean, actionable data for business use.
- Continuous Improvement:
- Stay current with emerging trends in cloud data engineering and business intelligence .
- Identify opportunities for process optimization and automation.
Required Skills & Experience:
- Databricks: Proven experience in large-scale data engineering and ETL.
- Power BI: Strong skills in developing interactive dashboards and reports.
- T-SQL: Expertise in writing optimized SQL queries and stored procedures for large datasets.
- Cloud Platforms: Experience with AWS, Azure, or GCP for data management and analytics.
- Banking Industry Knowledge: Familiarity with financial data and regulatory requirements.
- Business Acumen: Ability to translate business needs into technical solutions.
- Communication: Strong ability to communicate complex technical concepts to non-technical stakeholders.
Preferred Qualifications:
- Experience with Data Warehousing , Big Data technologies (e.g., Apache Spark).
- Familiarity with data integration tools (e.g., Azure Data Factory).
- Experience in an Agile/Scrum environment.
- Knowledge of data governance and compliance standards in financial services.
**We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, ethnic origin, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.**
#LI-KH2