... data quality analysis, data management, or a related field.- 2+ years of experience with SQL and database technologies, with the ability to query and analyse data sets.- Prior knowledge of data governance programmes and/or data quality improvement programmes is essential.- Prior knowledge of Data Observability / Data Quality ...
... generative AI and LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and other structured and unstructured data assets. - Leverage SAP's deep data and process context including SAP data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, ...
... activities across the data https://jobeax.com/link/GmpRkycDUBUNhxr2 Responsibilities : - Define data quality rules and controls- Conduct profiling and reconciliation- Develop DQ dashboards and scorecards- Monitor data quality KPIsSkills : - SQL- Data Profiling- Data Governance- Power BI- Data Quality Tools (ref:hirist.tech)
Responsibilities : - Development and enhancement of Data Security Products (SASE)- Participate in a complete development life cycle starting with understanding various functional requirements, refine functional specification and develop for high throughput/ low latency requirements.- Influencing the features and direction ...
... leadership and expertise in designing and building high-volume, production-grade data platforms. The ideal candidate will have extensive experience with modern cloud data technologies, data lakes, data warehouses, ETL/ELT pipelines, real-time data processing, and data architecture. The role requires someone who can combine strong ...
... fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Associate Director, Data and Analytics In this role, you will: - Lead the technical design and build of IT systems , adding AI features aligned to business value. - Set the technical ...
... experience in data engineering principles, data integration, transformation, and cloud-based data platforms, with the ability to build reliable and high-performing data solutions. You will work closely with data analysts, data scientists, software engineers, and business stakeholders to develop data pipelines, optimize data workflows, ...
... clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity ...
... Partner with business stakeholders, product managers, and engineering teams to understand business use cases and constraints.- Design and document end-to-end data, aligned with enterprise standards for :1. Data mesh and domain-oriented data products2. DataOps, MLOps, and emerging AgentOps practices3. AI-aligned data patterns ...
... data processing solutions using frameworks such as Apache Beam (Data Flow) and Kafka. Work with GCP services like BigQuery, Dataflow, and Spanner to optimize data pipelines and workflows. Design and model data structures for efficient data storage and retrieval. Oversee ETL processes to ensure seamless data extraction, ...
... https://jobeax.com/link/0a2QmNkVhUZFALjk Candidate will have :- Experience with Agentic AI, Generative AI, LLMs, and prompt engineering.- Experience with big data technology stack (Hadoop, Spark, HDFS, EMR, Glue).- Experience with AWS, Azure or GCP.- Experience with Databricks/SageMaker/DataRobot, MLFlow or other ML and ...
... learning and statistical modeling to improve decision-making and automate business processes. Data, Tools & Technical Leadership - Prepare and analyze large datasets using cloud platforms such as AWS and Snowflake. - Use SQL, Python, Jupyter Notebooks, Looker, and related tools to analyze data and generate insights. - ...
... and forecasting solutions. Perform data cleaning, preprocessing, and feature engineering. Build and optimize data pipelines using Python and SQL. Analyze large datasets to identify trends and business insights. Support model deployment, testing, and performance monitoring. Create dashboards, reports, and data visualizations. ...
... key responsibilities: - Providing Application Database and Replication support for a large DB2 z/OS sysplex environment - Providing Application Database and Data Migration support for an established cloud-based database infrastructure - SQL tuning and Performance on both Db2 and PostgreSQL - Maintenance of Databases – ...
... generative AI and LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and other structured and unstructured data assets. - Leverage SAP's deep data and process context including SAP data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, ...
'We are looking for a detail-oriented Data Entry Operator to join our team. Your main task will be to enter data from various sources into our company computer system for processing and management. A successful candidate will be responsible for maintaining accurate, up-to-date, and useable information in our systems.' Requirements ...
... compliance. Database & Data Platform Support - Support Oracle databases and enterprise SQL environments. - Perform performance analysis, query optimization, database monitoring, and troubleshooting. - Coordinate with application and data engineering teams during releases and migrations. Middleware & File Transfer Services ...
... projects. - Experience working within complex organizational settings (e.g., PMO, geographic dispersion, etc.). - Experience with colocation and large-scale data center operations. - Experience with operations third-party colocation environments, including familiarity with supply chain and logistics concepts. - Strong ...