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Top Data Engineer Jobs in Wellington
In the role of Data Engineer at Hiveon, you will develop and support enterprise-level statistics services, design data storage solutions, optimize queries, and create impactful reports for high-load HPC business management. You will collaborate with development teams and perform database performance monitoring and improvement tasks.
Collaborate with analysis and development teams on data modelling activities, contribute to data application projects, possess expertise in data warehousing and big data technologies, and demonstrate strong communication skills.
Responsible for data business development, data governance, and data platform maintenance in a top cryptocurrency exchange. Requires expertise in Python, big data platforms, SQL, and database management. Strong communication and problem-solving skills.
Senior Data Engineer responsible for designing, building, and maintaining data pipelines on Google Cloud Platform (GCP). Must have deep understanding of GCP services, experience with data modeling and optimization, strong analytical skills, and proficiency in Java, Python.
The Data Engineer II role at Cencora focuses on providing accurate data support for Legal and Compliance departments. Responsibilities include data extraction and analysis, data quality validation, and developing analytics models to address business challenges. The position requires data monitoring, collaborating with teams, and ensuring data integrity for effective decision-making.
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The Senior Data Engineer will shape data strategies, address data warehousing challenges, lead design reviews, and mentor junior engineers. Responsibilities include architecting scalable systems and automating cloud infrastructure in a data-driven atmosphere within Autodesk's Customer Success Organization.
As a Lead Data Engineer at Cencora, you'll manage Microsoft Azure environments, design and develop scalable solutions, oversee cloud-based infrastructure, and lead a team of engineers. Your expertise will be critical in migrating services to the cloud, implementing IaC, and ensuring security and efficiency. Collaboration with IT teams to enhance operations is also key in this innovative role.
The Software Engineer will be responsible for developing large new areas within data management software, handling the entire product lifecycle, and ensuring high reliability of system software. This role demands experience with AI infrastructure at scale and solid Python knowledge. Multi-tasking and quick adaptation to new technologies are essential.
As a Lead Data Engineer, you'll design, develop, and automate scalable data engineering products. You'll optimize data processes, implement data ingestion frameworks, and leverage machine learning to enhance solutions. Additionally, you will mentor junior team members, collaborate with stakeholders, and ensure data visualization standards are maintained for effective analytics-driven decision making.
The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.
The Senior Data Engineer will enhance data processing and analytics pipelines, focusing on scalability, reliability, and business insights. Responsibilities include automating cloud services, developing CI/CD pipelines, and collaborating with stakeholders for analytical needs and product metrics.
As a Senior Software Engineer at Alpaca, you will design and improve the architecture of market data systems, focusing on scalability and latency. You'll implement backend services, maintain code quality, and participate in code reviews while leading medium-scale projects.
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