Top SQL Developer Jobs
The Data Platform Engineer will join the Digital Experiences team to deliver cloud-native Big Data solutions, collaborating with engineers, product managers, and designers. Responsibilities include developing tools for data management, building high-performance solutions, writing efficient code, and contributing to the overall engineering efforts within a multi-disciplinary team following Agile and DevOps practices.
The Principal Database Engineer will provide technical expertise to sustain critical government mission-related software and systems, focusing on Oracle database administration and ETL operations, while applying industry-standard software stacks within Agile methodologies.
As a Principal Engineer on the Data Platform team at Nextdoor, you will drive product development, machine learning, data science, and provide world-class data infrastructure and tools. Responsibilities include envisioning and building a scalable data platform, participating in all phases of the software development lifecycle, and developing partnerships with key stakeholders. Requires 7-10 years of experience in data infrastructure at petabyte scale, knowledge of SQL, Spark, computer science fundamentals, software engineering, data science, machine learning, cloud technologies, and strong communication skills.
As a Data Engineer, you will develop and support a cloud data lake platform, working on ETL applications using Python and Spark, collaborating with project stakeholders, designing software applications, and providing technical leadership. You will also cover on-call responsibilities periodically and engage in training staff on developed software.
As a Data Ops Engineer, you will support project teams by managing and monitoring database and cloud environments, provide user access while ensuring security, and participate in an on-call rotation. You will have diverse database development responsibilities with a focus on Python or C# and related technologies.
The Software Developer will be responsible for developing, designing, and deploying database architectures, integration jobs using SQL Server and Access, and maintaining programming code. The role involves implementing requirements using various software solutions and ensuring quality control through technical and process documentation.
Seeking a skilled Data Engineer with expertise in Logstash and Databricks to manage and optimize clients' data pipelines for efficiency and reliability. Collaborate with data scientists and analysts, troubleshoot issues, ensure data security and compliance, and stay updated on data engineering best practices.
As a Lead Data Engineer, you will design and maintain data pipelines using cloud technologies, work closely with clients to understand requirements, and provide technical leadership. You will collaborate with teams, ensure solutions meet client needs, and stay updated on the latest technologies.
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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 Senior Data Engineer will be responsible for designing and developing a robust data ingestion platform utilizing Azure technologies. Duties include creating complex data pipelines, writing SQL queries, ensuring data quality, and collaborating with teams for data modeling and analysis while adhering to compliance policies and practices.
As a Data Engineer II, you will collaborate with various teams to build scalable data systems that improve player experiences. Your responsibilities include ensuring code quality, mentoring engineers, and designing data solutions while prioritizing security and privacy. You will also innovate to enhance player experiences and support Riot’s game development lifecycle.
The Data Engineer at ADVANA will collect, ingest, validate, and optimize data for business analysis. Responsibilities include building data pipelines, monitoring their performance, troubleshooting issues, and collaborating with analysts and product leads to meet data requirements. The role also involves developing scalable data stores and evolving solutions through automation.
As a Senior Data Engineer, you will build high-performance applications in Java, Scala, and Python, designing robust ETL pipelines with big data technologies and managing cloud infrastructure on Google Cloud Platform. You will analyze user engagement data and ensure data quality standards while implementing CI/CD processes and collaborating with product teams in an Agile environment.
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 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.
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.
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.
Seeking a Senior Staff Engineer with expertise in Database SQL to join our dynamic and non-hierarchical team at Nagarro. Use your knowledge to tackle challenges, guide teammates, and take solutions to the next level. Be part of our scaling digital product engineering company!
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.
As a Data Engineer Consultant, the candidate will be responsible for designing and optimizing data infrastructure, creating scalable ETL processes, developing complex SQL queries, implementing dimensional models, and providing data visualization solutions. The role involves close collaboration with clients to ensure their data needs are met effectively.
As a Data Engineer, you will build and operationalize complex data solutions, design data management systems, and collaborate across teams. Your role will involve scripting in Python and SQL, utilizing cloud platforms like AWS, and assessing data sources for analytics. You will focus on supporting AI and business insights through data transformation and quality solutions.
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.
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The Database Engineer IV will manage critical database systems globally, providing support through the application life cycle and ensuring high availability and performance. Responsibilities include database installation, monitoring, optimization, and collaborating with IT and business units to enhance database tools and solutions.
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