... modern big data tech stack. Strong experience in using ETL frameworks (e. g., Airflow, Jenkins) to build and deploy production-quality ETL pipelines. Knowledge of data structures. Open to learning and implementing new technologies. Ability to think and perform data engineering workstreams with a product mindset. Fluency in English. ...
... analytics experts to strive for greater functionality in our data systems. Mandatory Skills Description: - Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field - 8+ years of experience in data engineering (or equivalent hands on experience with large scale data platforms) - Strong ...
... governance principles, data quality checks on each data layer. - A successful history of manipulating, processing and extracting value from large disconnected datasets. - Working knowledge of message queuing, stream processing, and highly scalable big data data stores. - Strong project management and organizational skills. ...
... and mitigate data risks throughout the data lifecycle, including protection, retention, storage, use, and quality l Partner with technology teams to capture data sources, formats, and data flows so that data can be validated for downstream analytics and reporting l Investigate and document potential data quality issues, ...
... with stakeholders across manufacturing, quality, post-market surveillance, commercial, and clinical domains Provide technical leadership and mentorship to other data engineers, promoting best practices and continuous improvement Bachelor's Degree or higher in Computer Science, Mathematics, engineering or a related technical ...
... Synthesize requirements from business/product teams and translate them into system APIs, developer interfaces, and platform capabilities Work with architects and engineering leads to balance reliability, performance, technical debt, and new features Design solutions for data quality, governance, cataloging, and pipeline efficiency ...
... required for optimal extraction, transformation, and loading of data from various sources using SQL and AWS 'big data' technologies. Create and maintain optimal data pipeline architecture. Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure ...
... first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence. Overview of the role In Data Science we work with the data from fast changing consumer goods world. Data comes both from standardized databases and from online retail channels in various ...
The Team: The Data Engineering team expands and optimizes our data pipeline architecture, working collaboratively with cross-functional teams to build scalable data systems that support next-generation products and analytics initiative. As a Senior Database Engineer, you will directly contribute to the company's data platform, ...
... and analysis, as directed. Run and modify SQL queries to generate list reports from data sources. Generate data, identify problems within datasets, and resolve data discrepancies. Create dashboards and interactive custom visualizations using business intelligence tools. Assist in the development of processes and data pipelines ...
... Familiarity with Airflow or workflow orchestration tools Knowledge of Python / PySpark Understanding of data lake architectures Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, or related field - 5–8 years of relevant experience in Big Data technologies Skills: hadoop,big data,spark,sql,scala
... development. As a Clinical Data Science Programmer at ICON, you will develop and implement programming solutions that enhance the analysis of clinical trial data. What You Will Do: You will take responsibility for clinical data science deliverables, applying your skills to ensure quality and efficiency. Key responsibilities ...
... Visualization : - Support and maintain Tableau and Power BI platforms that cater to business intelligence needs. - Utilize Alteryx for ETL processes and to streamline data preparation, ensuring data consistency. - Data Mining and Advanced Analytics : - Leverage Splunk for advanced log analysis and operational insights, optimizing ...
... infrastructure—from design and construction to installation and ongoing maintenance of large-scale processing systems. Drive data quality initiatives, ensure seamless data accessibility for analysts and data scientists, and maintain strict compliance with data governance and regulatory requirements. Align data engineering practices ...
Role: Lead Data Engineer Years of Experience: 6 -8 Years As a leading player in the travel industry, we leverage cutting-edge solutions like AI, machine learning, and cloud infrastructure to create seamless and innovative travel experiences. We prioritize a tech-first mindset, where our engineering teams lead the charge ...
... Support the development strong working relationships with third-party data providers that we rely on for access to necessary data. Bachelor degree in Science or Engineering - 3+ years’ experience (professional or academic) in data engineering, preferably handling advertising media or marketing data - Professional experience with ...
... JVM-based languages and frameworks Collaborate with cross-functional teams to integrate diverse data sources into the data ecosystem Utilize AWS services for data storage, integration, and streaming solutions Maintain workflow orchestration using Apache Airflow Proactively adopt emerging data engineering technologies Solve ...
... experience in troubleshooting network Layer 1, 2, and 3 issues, preferably within AI fabric, 3-tier Leaf and Spine, NSF, and Optical networks. Provide direct engineering support to Data Center Construction, NetOps, FacOps, activation, and audit teams. Respond to hardware, software, network, design, or tooling issues; create ...
As a lead data scientist in the EDO, Collection Platforms & AI - Cognitive Engineering team, you will own the technical direction of a large-scale entity resolution and linking This platform combines classical ML and GenAI techniques to power intelligent matching and linking services across multiple data domains, exposed ...