Get AI-powered advice on this job and more exclusive features. 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: Bachelors 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 Referrals increase your chances of interviewing at Signature IT World Inc by 2x. Inferred benefits from the description Medical insurance, Vision insurance, 401(k), Pension plan, Child care support, Paid maternity leave. Get notified about new Data Engineer jobs in Phoenix, AZ . Location and salary range details are provided for various roles in AZ. Were unlocking community knowledge in a new way, with insights added directly into each article, started with AI help. #J-18808-Ljbffr Signature IT World Inc
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