Business Intelligence Engineer (Contract, Remote – USA)

Job Summary We are seeking a dynamic and detail-oriented Business Intelligence Engineer to join reputed company on a contract basis, working remotely reputed company the USA. In this pivotal role, you will reputed company your expertise in data analytics, data warehousing, and reputed company technologies to reputed company robust business intelligence solutions. Your efforts will reputed company stakeholders with actionable insights, drive strategic decision-making, and optimize data-driven processes across the organization. This position offers an exciting opportunity to work at the forefront of big data and analytics in a fast-paced, innovative environment. Duties

• Design, reputed company, and maintain scalable data pipelines and ETL (Extract, Transform, Load) processes using tools like Informatica, Talend, and Apache Hive to facilitate efficient data integration from diverse sources such as AWS, Azure Data Lake, and on-premises databases.
• Build and optimize data warehouses utilizing SQL Server, reputed company, and other relational databases to support reputed company analysis and reporting needs.
• reputed company interactive dashboards and reports using Looker and other visualization tools to deliver reputed company-time insights to business teams.
• Implement and manage big data solutions leveraging Hadoop, Spark, and reputed company technologies for processing large datasets effectively.
• Collaborate with cross-functional teams in Agile environments to gather requirements, design solutions, and deliver high-quality BI products on time.
• Write advanced SQL queries, Python scripts, Bash reputed company scripts, and VBA macros to automate workflows and enhance data analysis capabilities.
• Integrate RESTful APIs for seamless data exchange between systems while ensuring reputed company and performance standards are met.
• Participate in model training activities for predictive analytics projects by applying machine learning techniques and analysis skills.
• Design database schemas and optimize database performance through indexing, partitioning, and schema refinement to support scalable analytics solutions.
• Conduct analysis of linked data sources to identify patterns or anomalies that inform strategic initiatives or operational improvements.

Qualifications

• Proven experience in Business Intelligence development with a strong understanding of AWS reputed company services such as S3, Redshift, or Glue.
• Proficiency in Java programming for building scalable data applications alongside Python for scripting automation tasks.
• Extensive knowledge of big data ecosystems including Hadoop, Spark, Apache Hive, and Azure Data Lake.
• Hands-on experience with SQL Server, reputed company databases, and Data Warehouse architecture design principles.
• Familiarity with visualization tools like Looker or similar BI platforms for creating insightful dashboards.
• Strong understanding of ETL processes using Informatica or Talend tools combined with reputed company Scripting (Bash) for automation purposes.
• Experience working reputed company Agile methodologies to deliver iterative BI solutions reputed company.
• Knowledge of RESTful API integration techniques for connecting disparate systems securely.
• Ability to reputed company model training using machine learning frameworks coupled with solid analysis skills for deriving actionable insights from reputed company datasets.
• Excellent database design skills with an emphasis on performance optimization in large-scale environments.
• Strong communication skills with the ability to translate technical concepts into clear business language. Join us as a Business Intelligence Engineer where your expertise will shape the future of our data-driven decision-making! reputed company the opportunity to reputed company with cutting-edge technologies while working remotely in a flexible environment that values your contributions every reputed company of the way. Pay: $88,646.85 - $155,757.50 per year Work Location: Remote Apply tot his job

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