... Engineering, or a related field. 7+ years of data engineering experience, including expertise in data integration, pipeline optimization, and enterprise-scale data solutions. - Databases: Oracle and PostgreSQL - ETL/ELT & Data Integration: Experience in maintaining and refactoring existing data pipelines - Data Warehousing ...
... data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader.- Ensure data privacy and compliance with relevant regulations (e.g., GDPR) when handling customer data.- Maintain data quality and consistency within the application, addressing ...
... attention to detail and accuracy Ability to follow instructions precisely Reliable, consistent, and organised work approach Comfort with repetitive and structured data tasks Performance Indicators Accuracy of data entry Timeliness of updates Organisation and cleanliness of trackers Reduction in data corrections What You Can ...
... insights. - Manage data connections and publish governed data sources through Tableau Server/Cloud . - Configure appropriate security, user access, permissions, and data-source settings. - Ensure data accuracy, integrity, consistency, and governance across BI assets. - Troubleshoot dashboard, data, performance, and connectivity ...
... prediction and forecasting tasks on tabular/text datasets. - Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. - Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) to support model development. - Build and deploy end-to-end ...
... role Ethos is seeking a Data Engineer to join our Data Platform team and build the internal infrastructure, services, and tooling that the rest of the company's data stack runs on. This is a software engineering role with a deep data background. You will design and operate distributed workflow systems on Temporal and Airflow, ...
... & Data Platform. You’ll design and maintain reliable, secure, and scalable data pipelines and models that power a new generation of reporting, insights, and data-driven products across the StarRez ecosystem. This role sits at the intersection of data, product, and engineering. You will work closely with Data Analysts, ...
Role Overview:Seeking a highly skilled Senior Data Engineer with deep expertise in Databricks, Real-Time Data Processing, Lakehouse Architecture, and AI-driven solutions. The role involves designing, developing, and supporting scalable data platforms and streaming pipelines, leveraging modern Databricks capabilities such ...
... Functions FP&A team, which provides partnership and financial support for Chief People Officer, CFO, SVP Of Revenue Operations, and General Counsel. Regular data entry and/or data downloads from financial tools (eg Adaptive Planning, NetSuite) for usage in analyses, forecasting, and budgeting. - Regular partnership with ...
... 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 ...
... worldwide. Role Summary: The Data Architect is responsible for the design and evolution of our enterprise data architecture, with a strong focus on reusable data pipelines, data schemas & products, and modern data engineering practices. This role requires an AI-first mindset in data engineering and data modeling activities ...
... members of IT, including business analysts, database administrators, and managers, to design and develop Cognos reporting capability- Exhibit a commitment to data quality by validating results against sources specified in the requirements- Develop and maintain stored procedures- Write and support queries against databases ...
... Time Series Forecasting techniques and real-world demand planning use cases. - Hands-on experience with Databricks , including Spark, notebooks, and distributed data processing. - Practical exposure to Machine Learning and Deep Learning model development and deployment. - Experience working with large, complex datasets in ...