... Finance, Collections, and Portfolio Management Analytics teams, the Data Architect will translate business requirements into scalable, reliable, and high-performing data solutions while driving engineering excellence across the https://jobeax.com/link/7iXZ9gPlTunZWe5o You'll Architect :- Enterprise Data Warehouse and Modern Lakehouse ...
Job Summary The Computer Operator is responsible for routine data entry, record-keeping, printing, and basic computer-related support tasks for the school office. The role requires accuracy, familiarity with common software applications, and the ability to handle day-to-day administrative computer work reliably. Key Responsibilities ...
... experience with Azure Databricks, Azure Data Factory (ADF), and ADLS.- Proficiency in PySpark, Spark SQL, ETL, and advanced SQL.- Experience building scalable data pipelines and enterprise data platforms.- Excellent analytical, problem-solving, and stakeholder management https://jobeax.com/link/DkPro09N04CD2GIL is in it ...
... experience with Azure Databricks, Azure Data Factory (ADF), and ADLS.- Proficiency in PySpark, Spark SQL, ETL, and advanced SQL.- Experience building scalable data pipelines and enterprise data platforms.- Excellent analytical, problem-solving, and stakeholder management https://jobeax.com/link/DkPro09N04CD2GIL is in it ...
... recruitment, consultancy, or agency-based company is mandatory/preferred. - Good English communication skills (verbal and written). - Working knowledge of MS Excel (data entry, basic formulas, reporting). - Strong persuasion, negotiation, and interpersonal skills. - Immediate availability to join. Preferred Candidate Profile ...
... 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 ...
... translating business requirements into accurate, intuitive, and actionable dashboards. - Experience working with Finance, Risk, FinTech, Banking, or Financial Services data is highly desirable. - Strong understanding of financial and operational KPIs, data trends, and analytical reporting. - Excellent data visualisation and storytelling ...
... 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, ...
... and PySpark.- Build, optimize, and manage Delta Lake tables within Unity Catalog.- Develop and support Lakeflow pipelines with incremental processing, CDC, and data quality validations.- Integrate enterprise systems into the Databricks Lakehouse.- Ensure data quality, governance, security, and operational excellence across ...
... 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 ...