Azure Data Engineer

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• Solid experience with database design practices and data warehousing concepts.
• Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse.
• Hands-on experience delivering data reporting requirements on On-Prem SQL Servers using SSIS and/or other integration processes.
• Expertise with coding and implementing data pipelines in cloud-based data infrastructure in batch and streaming ETL using Azure Data Factory, Spark, Python, Scala on Databricks.
• Experience working with Azure Data Lake Storage and Azure SQL Databases.
• Optimize data ingestion and transformation processes to ensure efficient and scalable data flows; monitor and optimize database performance, including query tuning and index optimization.
• Develop and maintain data models, schemas, and data dictionaries for efficient data storage and retrieval.
• Perform data analysis, profiling, and cleansing to ensure data quality and accuracy, including data validation, quality checks, and troubleshooting to resolve data-related issues.

Develop Power BI dashboards, reports, and visualizations to communicate data insights effectively. Implement data transformations, data modeling, and data integration processes in Power BI.

• Create and maintain technical documentation related to database structures, schemas, and reporting solutions.
• Experience with MS Office tools like Excel, Word, PowerPoint.
• Experience working with build and deploy tools such as Azure DevOps, GitHub, Jenkins.
• Experience working on an Agile development team and delivering features incrementally using Jira and Confluence.
• Stay up to date with industry trends and best practices in data engineering and Power BI; proactively recommend and implement improvements to our data infrastructure.
• Ability to multi-task, be adaptable, and work effectively within a team environment.
• Strong communication, interpersonal, analytical, and problem-solving skills.

Preferred:

• Experience with API/REST, JSON.
• Experience in banking and financial domains.
• Experience with cloud environments like GCP, Azure, and AWS.
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes) and shell scripting in Bash, Unix, or Windows shell.
• Experience with Power Automate and Power Apps.
• Experience with Collibra Data Lineage and Data Quality Modules.

Education: Bachelor’s degree in computer science or information systems, along with relevant work experience.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• Banking

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Inferred benefits from the description

Medical insurance, Vision insurance, 401(k), Pension plan, Child care support, Paid maternity leave.

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