Top Data Engineer Jobs
The Data Architect will design and implement Azure technology architecture, lead workshops for data solutions, and manage technical planning for projects. They will mentor teams, collaborate with stakeholders, and ensure efficient solutions align with client needs while supporting Agile Scrum methodologies.
The Data Engineer will develop, maintain and optimize ETL processes, write optimized code for large datasets, conduct data analysis, implement data processing systems using SQL and Python, collaborate with teams for data requirements, ensure data quality and security, monitor data infrastructure performance, and provide ongoing support for ETL tasks.
The Senior Director of Strategic Partnerships at insightsoftware will develop the partner program for Logi Symphony, focusing on identifying and managing partner relationships to increase bookings through strategic alliances. This role involves utilizing data for decision-making and collaborating with cross-functional teams to drive program growth and ensure alignment with business objectives.
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The System Database Administrator is responsible for managing SQL databases and applying security measures in a Windows environment, leveraging some experience in database management.
As a Data Engineer at Figma, you will own and scale data pipelines, work with Data Science and Infrastructure teams, and ensure efficient data delivery for various stakeholders. Responsibilities include optimizing data models, establishing best practices, and simplifying complex data-related issues for diverse audiences.
The Sr. Global Privacy and Data Protection Counsel at Pendo will oversee global data privacy needs, ensure compliance with privacy regulations, lead legal activities related to Pendo’s privacy program, and provide counsel to various business units. The role requires collaboration with product and engineering teams, as well as training the legal department on data privacy regulations.
The Technology Lead – DataStage is responsible for developing ETL code, designing DataStage Parallel Jobs, and troubleshooting DataStage jobs. The role requires expertise in Data Warehousing concepts, shell scripting, and SQL, along with the ability to create technical artifacts and work with multiple stakeholders in a global delivery environment.
The Lead Data Engineer will build and maintain data pipelines and processing systems, enhance data reliability and quality, and develop architectures involving databases. Responsibilities include managing projects, ensuring communication, and implementing improvements in data efficiency.
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Compass is seeking a Senior Data Engineer to lead key data initiatives, collaborate with various teams, develop scalable data pipelines, and optimize data systems. Responsibilities include operationalizing data pipelines, managing database techniques, ensuring data quality, and providing on-call support. Qualifications include 7+ years of experience in data pipeline engineering, expertise in Python, PySpark, SQL, and AWS, and experience with tools like Databricks and Airflow.
The Senior Analytics Engineer will lead data-driven analyses and develop visualizations, dashboards, and reports for MLB's Strategy & Development team. Responsibilities include transforming data, advising senior management, and enhancing decision-making across the league.
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