Design and implement data solutions on Azure, optimize data processing frameworks, enforce governance policies, and enable BI reporting while collaborating with teams.

Responsible for L2 technical support for data platforms, advanced troubleshooting, code-level fixes, and ensuring SLA compliance. Requires strong skills in Azure Data Factory, Databricks, SQL, and Python for performance tuning and data reliability.

As a Data Engineer, you will innovate and maintain technology services, develop software systems for large projects, and work across all SDLC phases.

Lead the design and implementation of Azure solutions, assess environments for cloud adoption, and mentor teams on best practices in cloud architecture.

Lead AWS data architect responsible for designing, building and operationalizing large-scale enterprise data platforms and pipelines on AWS. Re-architects on-premises stores to cloud, mentors engineers, runs client workshops, and delivers proofs-of-concept using Spark, Databricks, Glue, Redshift, Snowflake and related AWS services.

The Fullstack Engineer will develop and maintain backend and frontend systems for data projects. Responsibilities include integration, UAT participation, and documentation creation.

The Senior Fullstack Engineer will design, develop, and maintain enterprise web applications while collaborating with data teams and managing junior engineers.

Responsible for managing, developing, and maintaining backend and frontend for Data to Decision projects, integrating outputs from backend APIs, and collaborating with data science and product owners.

As a Fullstack Engineer, you'll manage backend and frontend projects, integrate algorithms, create user-friendly infographics, and troubleshoot issues.

The role involves implementing SAP Analytics Cloud projects, collaborating with clients, and leveraging technical and functional expertise to deliver BI solutions.

Fullstack Engineer responsible for developing and maintaining web applications, integrating backend and frontend systems, and collaborating with cross-functional teams for data decision projects.

The GCP Engineer focuses on developing large scale data engineering solutions using GCP, including data pipelines and ETL processes for Fortune clients.

As an Azure Data Engineer, you will innovate and maintain data engineering services for Fortune clients, develop software for large projects, and utilize Azure components for solutions.

Lead design, implementation, and management of CI/CD pipelines and release automation across cloud platforms. Automate provisioning of Azure resources using IaC (ARM/Terraform), manage Git repos and branching strategies in Azure DevOps, integrate automated testing, enforce security best practices, and implement monitoring, logging, and tracing. Collaborate with security teams and support deployment reliability.

The ETL Testing Engineer is responsible for designing, executing, and automating test cases for data quality assurance in ETL processes, ensuring accuracy and integrity of data with a focus on collaboration and continuous improvement.

Seeking a Senior Power Platform Developer to design, implement, and troubleshoot solutions using Microsoft Power Platform while collaborating with stakeholders and providing training.

Fractal Analytics seeks a Hacker-Mind AI Engineer for rapid prototyping of AI solutions, problem-solving, and collaboration with teams and clients, leveraging cutting-edge technologies.