As a Database Administrator, you will be responsible for designing, installing, configuring, upgrading, and maintaining databases to ensure their smooth operation, optimizing database performance, managing security, performing regular backups, and implementing high availability solutions. You will oversee SQL Server databases across multiple environments, ensuring scalability and efficiency. Automation is a key aspect of this role, requiring you to implement processes to streamline database maintenance.
The Data Integrity Analyst is responsible for the master data integrity in the company’s ERP systems and implements quality check routines, reviews customer/vendor/items records, scrubbing/cleansing of data and interacts with the user community.
The Data Analytics Consultant will be a pivotal member of the Analytics Team, responsible for delivering critical insights that drive data-driven decision-making for financial institution clients. This role will be part of the data engineering team and will be responsible for ensuring that client-provided data is reviewed, imported, transformed, and quality-controlled into specifically requested data warehouses for ongoing projects and services.
We are looking for people experienced with data architecture, design and development of database mapping and migration processes. This person will have direct experience optimizing new and current databases, data pipelines and implementing advanced capabilities while ensuring data integrity and security. Ideal candidates will have strong communication skills and the ability to guide clients and project team members. Acting as a key point of contact for direction and expertise.
Architect, build and optimize systems that power our customer-facing analytics product. You’ll start as an individual contributor, but with a clear path to becoming an Engineering Manager within 12–18 months. Work with a collaborative, pragmatic team of data engineers and ML engineers to solve hard technical problems with real-world impact, powering tools used daily by thousands of crypto investors, builders, and institutions.
As a Data Analyst, AWS Analytics on the Exam Config team, you will play a critical part in supporting data management and conducting root cause analysis to ensure the reliability and accuracy of Exam Config systems. Leveraging your AWS expertise, advanced SQL skills, and strong problem-solving abilities, you will work with complex data sets, automate key processes, and drive efficiency. You are independent and proactive with exceptional problem-solving skills.
As Data Architect, you’ll lead the design and implementation of our data layer that powers client-facing reports, manage a team of Analytics Engineers, define processes, and establish data governance standards that ensure quality and trust at scale. This role bridges strategy and execution: you’ll define the big picture for how we structure and deliver data, and work with a team to make it real.
Trility Consulting is looking for an Azure Data Consultant to lead Proof of Concept (PoC) initiatives by implementing Microsoft Fabric. The candidate will collaborate with clients to test Fabric’s performance compared to on-premise systems and build robust data solutions, applying expertise in Fabric, ETL development, and cloud analytics platforms to test, build, and optimize solutions.
In this role on the Healthcare Data Analytics team, you will play a pivotal role in analyzing and interpreting complex healthcare data to support strategic decision-making and improve population health outcomes. You will work closely with Interwell Health colleagues and stakeholders to understand analytical needs, develop insights that drive healthcare initiatives, optimize resource allocation, and enhance patient care.
FirstPrinciples is seeking a skilled and detail-oriented Data Integration Specialist to play a crucial role in our data pipeline development. In this position, you will lead projects to design and implement data extraction processes from various structured and unstructured sources, create robust parsing mechanisms, and develop sophisticated logic to extract meaningful features from raw data. Working in an agile environment, you'll iteratively refine extraction methods based on on-going feedback.