... root cause analysis to improve data quality. Data Governance Define and implement data governance frameworks, policies, and standards. Ensure compliance with data quality, data privacy, and regulatory requirements. Establish data lineage, metadata management, and data stewardship practices. Monitor and improve data quality ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. AWS AI Services Minimum 3 Year(s) ...
... Experience with system integration, implementation, upgrades, migrations, or technology modernization. - Good understanding of application, infrastructure, cloud, database, networking, or platform technologies relevant to the role. - Familiarity with automation, monitoring, DevOps, CI/CD, cloud platforms, or modern engineering ...
... model accuracy, scalability, and reliability. - Work with large and complex datasets to identify meaningful patterns, trends, and insights. - Collaborate with data engineering teams to establish effective data pipelines and ensure high-quality data availability for modeling. - Partner with product and business stakeholders ...
... OpenTelemetry**: Deep understanding of metrics, traces, logs formats and semantic conventions - **Database Knowledge**: PostgreSQL optimization for telemetry data - **Data Visualization**: Statistical analysis, correlation detection, anomaly identification through visual patterns - **Programming**: Python/Go for data pipeline ...
... bring We are looking for an experienced Data Governance Lead who can improve business processes through the practical use of data and AI, and deliver trusted data for enterprise solutions. You will bring: - At least 10 years of experience in data governance, data management or a related field. - Deep knowledge of data governance ...
... modeling) and modern AI systems (LLMs, Generative AI and agentic frameworks). The role requires strong applied modeling skills across structured and unstructured data, and experience deploying models into production environments. This position involves end-to-end ownership of data science initiatives, from problem framing and ...
... years of experience • Minimum 3 years of experience in design, build and deployment of Ab Initio-based applications • Expertise in handling complex large-scale Data Lake and Warehouse environments • Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities • Excellent verbal ...
... business decision-making. Join our dynamic team at Desnor Destination and make a significant impact through your data expertise! Skill(s) required Algorithms Data Analysis Data Analytics Data Annotation Data Cleaning Data Engineering Data entry Data Extraction Data Interpretation Data Manipulation Data Preparation Earn ...
... entry and analysis, we want to hear from you! Apply now to join our dynamic team at Desnor Destination and take the next step in your career. Skill(s) required Data Analysis Data Analytics Data Annotation Data Cleaning Data Engineering Data entry Data Extraction Data Interpretation Data Manipulation Data Preparation Earn ...
... infrastructure, supervising specialist vendors, acting as first responders to incidents, and becoming subject matter experts for the facility. Key job responsibilities The Data Center Engineering Operation Engineer is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating ...
... research across relevant sectors and industries. 3. Perform sector-wise research and gather relevant information. 4. Validate and maintain the accuracy of collected data. 5. Conduct telephonic data validation and update records based on responses. 6. Make customized calls for event-related requirements Skill(s) required English ...
... Android Developer About the Role: Responsibilities - Develop and deploy satellite-based crop classification models using multispectral, hyperspectral, and SAR datasets (Sentinel-1/2, Landsat, NISAR). - Design Earth Engine Python API workflows for cropland segmentation, sowing date estimation, acreage mapping, and in-season ...
... improving enterprise‑scale , Databricks based data mesh platform at Syngenta. - This role focuses on platform reliability, scalability, security, and enablement of data engineers, analytics, and data science teams , enable domain autonomy to ingest, process, and share data using Databricks , while ensuring security, quality, ...
... sensitive information - Prepare basic reports or summaries as required - Coordinate with supervisors or research teams Skills & Qualifications - Basic knowledge of data entry tools like Microsoft Excel or Google Sheets - Strong attention to detail and accuracy - Good communication skills - Ability to work independently and in ...
... of data sets - Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times - Working with event based / streaming technologies to ingest and process data - Do analysis of new requirements and propose a solution ...
... governance and execution of modern data platform while partnering with analytics leaders to deliver solutions that drive measurable business impact. The VP, Data Analytics will report directly into the Senior Vice President, Data Analytics and lead Portage Point's India-based Data Analytics team, manage the delivery, operations ...
... Detect, track, and resolve data connectivity issues across the entire fleet of customer data system integrations - Help maintain underlying AWS infrastructure for data connectivity - Collaborate with service delivery teams to ensure high-quality, reliable data is available for their analysis and reporting - Respond to data connectivity ...
... and prescriptive models with process-mining insights to drive data-informed decisions and measurable process transformation. - Designed and implemented process data models and event-data integration frameworks, collaborating with process architects, data engineers, and IT teams to ensure analysis-ready, high-quality datasets ...
... - Strong Python skills for data analysis and automation, with working knowledge of machine learning frameworks (e.g. scikit-learn, XGBoost, statsmodels) and data science libraries (pandas, numpy, scipy) - Experience with database programming languages, data engineering and data transformation. - Excellent attention to ...