Top SQL Developer Jobs
The Data Engineer will be responsible for developing and deploying data pipelines for streaming and batch data from multiple sources. They will create data models, implement business logic, and work with a variety of technologies including Azure Databricks, Apache Spark, and data storage solutions. Excellent communication skills are required.
The Lead Data Engineer will design, implement, and maintain data pipelines using cloud technologies while providing technical leadership and innovative solutions to clients. They will partner with business stakeholders to analyze requirements and ensure data engineering solutions align with customer needs.
The Athenix Database Developer will maintain and develop legacy and modern databases, ensuring operational sustainability, compliance with SLAs, and support for cloud infrastructure. The role involves recommending enhancements to systems, managing data modernization efforts, and contributing to project management within Agile frameworks.
The Data Architect at Tiger Analytics is responsible for designing and implementing robust data solutions that address complex business problems using large-scale structured and unstructured data. This role includes developing comprehensive data architecture blueprints, optimizing Snowflake performance, implementing data governance, and collaborating with various stakeholders to support data management and analytics initiatives.
As a Senior Data Engineer, you will design, implement, and maintain scalable data infrastructure. Responsibilities include building data pipelines using Databricks, implementing DevOps tools for CI/CD, optimizing performance, ensuring data quality, collaborating with teams, and providing mentorship.
The Senior Data Engineer will develop and maintain ETL/ELT pipelines, analyze and model complex data, and collaborate across teams to optimize data solutions for performance and scalability. Responsibilities include working with technologies like SQL, Python, and AWS, and ensuring data privacy and security in architectures.
Lead and mentor a high-performing data engineering team, develop and maintain scalable data platforms, optimize SQL queries, implement real-time streaming data pipelines, utilize cloud services like AWS, and ensure data compliance with regulations.
Experienced Data Engineer Consultant responsible for developing and optimizing data infrastructure, dimensional modeling, and data visualization solutions for clients. Must possess strong SQL skills and have expertise in ETL processes.
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The Senior Data Engineer will develop and maintain scalable ETL pipelines, troubleshoot issues, and work with external APIs and large datasets in cloud environments to improve data quality and accessibility. They will also mentor team members and enable data-informed decisions crucial for the company’s growth.
The Data Architect will be responsible for designing, implementing, and optimizing data solutions to support business needs. Responsibilities include evolving data infrastructure, architecting data systems, maintaining data pipelines, establishing data governance, and mentoring team members.
The Data Engineer will design and maintain data systems, develop ETL processes, and collaborate with data scientists on machine learning workflows within a biotechnology company focused on CRISPR-based therapies. Responsibilities include building databases and automated data pipelines while ensuring data governance practices are followed.
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As a Data Engineer at StackAdapt, you will design and implement modular and scalable real-time data pipelines, work on custom ML algorithms, and manage microservices for training and monitoring ML models in a collaborative environment.
The Senior Data Engineer will focus on integrating data across source systems to create a robust data environment for analytics and reporting. Responsibilities include ETL work, data warehouse implementation, pipeline creation in AWS, and supporting other data engineers.
As a Senior BI Engineer, you will design data models, develop ETL processes, maintain data warehouses, and create BI reporting infrastructures. You will optimize data pipelines and collaborate with cross-functional teams to meet business requirements while documenting data architectures and best practices.
The Data Engineer will design, develop, and maintain data pipelines and ETL processes, manage data storage solutions, collaborate with stakeholders for data requirements, optimize system performance, and mentor junior engineers. The role emphasizes data integrity and incorporates best practices for data governance within a fast-paced AI-driven environment.
As a Senior Data Engineer at SADA, you will develop and optimize data platforms, focusing on BI and data engineering to ensure seamless data flows and insightful reporting. Responsibilities include project leadership, mentoring, developing metrics for business reporting, and collaborating with business leads to draw insights from data.
As a Database Engineer, you will assist in designing and developing database systems, optimizing performance, performing maintenance, troubleshooting issues, testing, bug fixing, and ensuring data integrity. You will also develop database functions and scripts while providing technical assistance regarding various database-related challenges.
The Senior Data Engineer will lead the design and development of data infrastructure, ensuring scalable and trusted data pipelines. They will optimize data solutions, mentor junior engineers, and collaborate with teams to enhance data models, while driving data quality improvements and best practices.
As a Data Engineer at Visa, you will create and optimize data pipeline architectures, manage large datasets, and implement process improvements. Responsibilities include designing applications in Big Data and Cloud platforms, automating processes, monitoring application performance, and supporting cross-functional teams with data solutions.
The Data Architect at Lilly will define data strategy and architecture for a new manufacturing facility, focusing on integrating IT and OT data with cloud technology. Responsibilities include delivering solutions for efficient plant operations and leading teams for continued system support and expansion.
As a Data Engineer at Demyst, you will build data-driven solutions for financial institutions, leveraging external data and innovative datasets through the company's proprietary software architecture and cloud infrastructure. Responsibilities include data analysis, ETL, API development, and collaborating with stakeholders to deliver insights that meet business objectives.
The Database Developer at NT Concepts will maintain customer databases, ensuring accessibility of information. Responsibilities include addressing customer queries related to Oracle database modules, requiring skills in SQL and PL/SQL, and reviewing procedures in Oracle as needed. The role demands problem-solving abilities and attention to detail to support the complex Military Housing system.
The Data Engineer will architect, implement, and maintain data infrastructure to ensure quality and consistency. Responsibilities include collaborating with business partners on data engineering requests, utilizing SQL and Python for data integration, and supporting BI platforms while adhering to data management best practices.
Lead Data Engineer will design data models, develop data pipelines, and integrate Palantir Foundry with external systems. The role requires hands-on experience with data integration and application development, using tools like Python and SQL, while also providing guidance to developers and collaborating with stakeholders.
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The Data Architect at Autodesk is responsible for designing and maintaining data models and ensuring proper data flow between enterprise systems. This role involves collaborating with engineering and product teams, influencing architecture decisions, and guiding the implementation of data solutions based on modern principles. The architect will enhance data quality, validate data flows, and support various analytical use cases.
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