... age AWS stack (S3, EMR, Redshift) or traditional BI & DW with interest in data mining and ability to sieve emerging patterns and trends from large amount of data. Data Engineer should have strong experience with all standard data warehousing technical components (e.g. ETL, Reporting, and Data Modeling), infrastructure ...
... ex Azure Data Factory - Governance and reliability - RBAC/ABAC, Immuta, Purview, masking, row/column security, tags, classification, lineage, audit logging, data quality, Data SRE, FinOps. To qualify for the role, you must have - 5-10 years of experience in data engineering, data platform operations, analytics engineering, ...
... driven to deliver high quality data solutions that enable better decision making across the organization. This Data Engineer role will design, build, and maintain data pipelines and integrations across multiple source systems in a global environment. They develop ETL processes and APIs, manage data warehouse schemas, and ensure ...
... learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods • Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain ...
... advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency ...
Data Engineer2 ommon Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow,Experience on Spark/Hive/HDFS,Data modeling for Data conversion Resources (4) Prior experience working on a conv/migration HR project is additional skill needed along with above mentioned skills Common Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow, ...
... accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Deliver impactful solutionsby executing highleverage data science and analytics initiatives within a product area or feature team, ensuring measurable improvements to user and business outcomes. Lead the design and implementationof ...
... growing Data and Analytics team. Your key responsibilities - Employ tools and techniques used to understand and analyze how to collect, update, store and exchange data - Define and employ data modeling and design standards, tools, best practices, and related development methodologies - Design, review and maintain data models ...
... transformation, and loading of data from a wide variety of data sources using Pyspark, SQL and AWS big data-technologies - Build analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics - Manipulate data at scale: ...
... design advanced analytics using Power Query and Power Pivot. Design and develop complex Excel-based automation solutions using VBA and Macros Build advanced data transformation workflows using Power Query Create sophisticated data models and analytics using Power Pivot Develop customized Excel templates and tools for business ...
... success. With a vision of being the most trusted, flexible, and easy-to-use data platform, our product portfolio includes the most performant data management, data integration, and data analytics products on the market. Customers use our cloud-native data platform to unify their data, explore and securely exchange data to ...
... engineering and data teams chart the future and set new benchmarks for our products, by using industry standard methodologies and sophisticated capabilities in data, machine learning, and artificial intelligence. Manager Software Engineering who leads a high-performing engineering organization building scalable, data-intensive ...
... quality, and performance for analytics and GenAI use cases. Data Pipeline Development Build and maintain scalable ETL/ELT pipelines for structured and unstructured data. Ingest data from diverse sources such as APIs, streaming, and batch systems. Data Modeling & Warehousing Design efficient data models to support analytics and ...
... strong Data Analyst background with the ability to work with Excel, SQL, web-scraped data, and databases , while also being comfortable supporting basic cloud database, software, and data-related troubleshooting activities . Since the application relies heavily on accurate data, the candidate should be able to identify data-related ...
... across technical and non-technical stakeholders. Preferred Qualifications - Experience with containerization technologies (Docker, Kubernetes). - Knowledge of data pipelines, data warehousing, or big data tools. - Familiarity with monitoring tools and performance optimization techniques. What’s in it for you? Pathways for ...
... influencers that drive it. We are seeking a highly skilled Senior Data Engineer with extensive experience in designing, building, and optimizing high-volume data pipelines. The ideal candidate will have strong expertise in Python, Databricks on Azure Cloud services, DevOps, and CI/CD tools, along with a solid understanding ...
... implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML ...
... progress, risks, decisions, and outcome metrics to senior stakeholders to influence improvements to tooling, workflow, and the operating model. Analytical and data-driven mindset with strong problem-solving, prioritization, and decision-making skills. 10+ years of experience in product management, IT operations, SRE, observability, ...
... center of what they do. The diverse team consists of subject matter experts, technology specialists, quality engineers, user experience researchers & designers, data scientists and product managers. As a Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial ...
As a Reference Data Specialist within the Instrument, Pricing & Common Reference Data team, your role will encompass a variety of responsibilities. These include daily capture and validation of bond prices from third-party sources, analyzing price movements in relation to market news and expectations, and liaising with ...