Top SQL Developer Jobs
As a Data Engineering Consultant, you will be responsible for moving and transforming data, designing ETL pipeline solutions, performing data analysis, and setting up data and analytics infrastructure in cloud environments like AWS, Azure, and GCP. Collaboration and effective communication with clients are key for this role.
The Data Engineer II collaborates with IT and business partners to manage data pipelines for analytics and quality. Responsibilities include developing data governance, supporting reporting processes, and improving business workflows through data insights and automation.
Looking for a Senior Data Engineer to develop and manage Data Pipelines, work with various data platforms, and optimize big data solutions. Must have experience in Apache Spark, SQL, and data warehousing. Strong problem-solving skills and effective communication are required.
The Staff Data Engineer will lead the development of AI-driven data solutions, create real-time data pipelines, define architecture for Cloud Data Platform, and mentor staff on data engineering best practices, while collaborating with various teams to achieve enterprise data initiatives.
The Big Data Architect is responsible for re-architecting the Data Model and Access Platform using Big Data technologies. This role requires providing technical direction to create a scalable data platform that supports analytics for security-related datasets, leveraging extensive experience with data implementations and open-source projects.
The Senior Analytics Engineer will design and implement MarTech products, develop data pipelines, perform data transformations, and collaborate with stakeholders to drive data analytics innovation. Responsibilities include ensuring the quality and automation of data processes and mentoring junior team members.
As a Senior Data Engineer, you will design, develop, and maintain complex data pipelines, focusing on flexibility and developer experience. Responsibilities include collaborating with teams to enhance machine learning capabilities, ensuring data quality, and mentoring junior engineers while improving the system architecture and performance.
The Staff Data Engineer will design and maintain a robust Big Data platform, collaborating with cross-functional teams to create scalable data pipelines, support AI initiatives, and contribute to technical documentation and knowledge sharing.
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The SSIS Developer will develop ETL processes to integrate back office systems with downstream systems, leveraging skills in ETL, SQL Server, and experience in financial applications like Murex.
The Data Engineer will work on developing and maintaining web scraping processes to collect large-scale text and image data, ensuring quality and usability. Responsibilities include collaborating with data scientists, optimizing data pipelines, and participating in research on data engineering and machine learning.
The Sr. Software Systems Engineer / DBA will support Contract Lifecycle Management for a Federal Government Agency by conducting Business Process Re-engineering, developing automated tools, and ensuring effective contract management processes. The role requires managing testing environments and working on LEAN analysis for process efficiencies.
The Data Architect and Engineering Lead at Finexio will design and implement scalable data architectures, oversee data-related projects, and collaborate with executive management and IT to define data models that drive business decisions. A passion for data-driven solutions within the fintech sector is highly valued.
The Senior Lead Data Analytics Platform Engineer will design and optimize a high-performance data analytics platform, focusing on scalable data systems and cloud-native architectures. Responsibilities include leading teams, optimizing data pipelines, ensuring data quality, implementing best practices in data governance, and driving innovation in data engineering processes.
As a Senior Data Engineer, you will lead the design, development, and optimization of complex data infrastructure and pipelines to deliver high-impact reporting, analytics, and machine learning solutions.
The Senior Data Engineer will design, implement, and optimize scalable data analytics infrastructure. Key responsibilities include developing data pipelines, maintaining data quality, supporting analytics through modeling, creating dashboards, and collaborating with various teams to enhance data-driven decision-making processes.
The Senior Data Engineer will collaborate with business leaders to design and deliver data products, ensuring data cleanliness and building scalable data pipelines for production. This role requires evaluating data sets to answer business questions and collaborating with various teams to deliver quality data solutions.
As a Data Engineer at Baker Hughes, you will focus on commercially-facing analytics development projects involving large, complex data sets. Responsibilities include implementing data warehouse designs, leading analytics development, and collaborating with cross-functional teams to deliver innovative solutions. Key requirements include proficiency in Python, machine learning techniques, algorithm development, and AI/ML model deployment.
The Data Engineer at CapTech will develop data pipelines and products using cloud platforms like AWS, Azure, and GCP, advise clients on cloud technologies, and work collaboratively to solve complex data problems while ensuring data architecture maximizes client value.
As a Data Ingestion Engineer, you will be responsible for managing data ingestion processes on the Databricks platform, optimizing ETL/ELT pipelines, and ensuring compliance with security guidelines. The role involves using tools like Apache Airflow and Dell Boomi for ingestion and automation, while following SDLC best practices.
As an ETL Developer / Data Architect, you will work closely with clients to design and implement BI solutions, focusing on data warehouse architecture, ETL implementation, data modeling, and report/dashboard creation using tools like Tableau and Power BI.
As a Technical Product Manager at Stack Overflow, you'll lead initiatives within the Data Team, focusing on enhancing search performance through Machine Learning and Natural Language Processing. You'll work collaboratively with Data Scientists and Engineers to leverage unique data insights to improve developer experiences and product offerings.
The Senior Data Developer will design and build a data and reporting ecosystem for the CRO organization. Responsibilities include developing BI dashboards, creating ETL pipelines, enhancing data models, and ensuring data quality. The role requires collaboration with stakeholders to deliver business requirements and support data analytics initiatives.
CapTech seeks a Lead Data Architect to develop strategies for data delivery, enhance business value through improved data integration and quality, lead technical teams, and communicate solutions to stakeholders. The role entails advancing data architecture capabilities and partnering with business development for technical demonstrations.
As an IT Data Engineer at Procter & Gamble, you will design and implement data and analytics cloud-based platforms and pipelines, ensuring data is cleansed, transformed, and published effectively. You'll partner with data managers to maintain data quality and leverage coding standards to deliver efficient services in a dynamic team environment.
The Power BI Engineer will integrate and onboard data from MongoDB into Power BI, develop dashboards for cybersecurity, automate data loads with Python, and manage Active Directory integration. Responsibilities also include creating documentation and training materials, while collaborating with teams to ensure project alignment.
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