... reconciliation, exception identification, and data-quality analysis. Data Engineering understanding – solid understanding of ETL/ELT, data pipelines, data transformations, data models, data warehouses/lakehouses, source-to-target mappings, and data-quality frameworks. Databricks & PySpark familiarity – working knowledge of the Databricks ...
... identify and document the data objects field mapping, transformation, and validation https://jobeax.com/link/W63jgoUkLURgEski the development of unit and end-to-end data migration test plans and test scripts (including testing for data extraction, transformation, data loading, and data validation).Promote code to data conversion ...
... validation and ensure data accuracy and integrity. Stay updated with emerging data analysis tools and technologies. Contribute to the continuous improvement of data analysis processes and methodologies. Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. - 1-2 years of experience in data analysis. ...
... frameworks for building scalable data pipelines. Understanding of Big Data architectures, data storage, and data processing concepts. Familiarity with cloud-native data storage solutions such as S3, Blob Storage, BigQuery, or Redshift. Experience with data orchestration tools like Apache Airflow or similar. Knowledge of data ...
... exciting new chapter as we've announced the plan for SoftBank Group to acquire ABB Robotics. SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-generation computing. By joining us now, you'll be part of a pioneering team shaping the future of robotics—working alongside ...
... modeling to develop and evaluate AI solutions using real-world enterprise datasets. What you'll bring - 8 + years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments. - Master's or PhD in Computer Science, Applied Mathematics, ...
... UK-MRV,IMO-DCS, VGP) and supporting ship onboarding requirements. - Provide general administrative and operational support for SAPS teams,including file management, data entry, tracker updates, and basic analytical tasks. - Generate routine performance reports, summaries, and pre-defined dashboards for internal teams and managers. ...
... and stored procedures for performance and accuracy Perform data validation quality checks and reconciliation to ensure data integrity Troubleshoot and resolve data pipeline failures and performance issues Collaborate with data analysts data scientists and business teams to understand data requirements Implement best practices ...
... understanding.- Provide 2nd line support post Go live.- Assist in system configuration.- Participate in training sessions to develop ERP expertise.- Work on data entry, report generation, and system testing.- Collaborate with teams to understand business requirements and optimize solutions.- Collaborate with stakeholders ...
... process understanding. Provide 2nd line support post Go live Assist in system configuration. Participate in training sessions to develop ERP expertise. Work on data entry, report generation, and system testing. Collaborate with teams to understand business requirements and optimize solutions. Collaborate with stakeholders ...
... development life cycle Prior experience in creating source to target mappings and business transformations. What were looking for: - Bachelors / master's degree in computer science / engineering from a reputed university - 10+ years of experience as a Business Analyst in analysing data. - Hands-on experience as a delivery manager ...
... for the databases assigned to them. Understand our overall database backup strategy and be able to perform point-in-time recovery. Owns RPO and RTO of servers/databases assigned to them. Participation in on-call duties. Requirements - Bachelor's degree in Computer Science, Engineering, Information Technology, or a related ...
... across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of ...
... willingness to learn. o Work constructively with team to evaluate and improve personal and team performance. o Contribute and leverage knowledge from individuals, databases and other sources. o Provide timely and high-quality services and work products that exceed client expectations. - Operational responsibilities: o Participate ...
... Qualifications: Experience working on largescale big data systems such as Cosmos, Hadoop, Magnetar, or equivalent platforms Experience building or operating streaming data pipelines (e.g., realtime or nearrealtime processing systems) Experience with Apache Spark and Scala technologies Bachelor's Degree in Computer Science oOR related ...
... technical leadership and guidance to engineering https://jobeax.com/link/b98mNqN2dpm2gqBN Skills :- 10+ years of experience in Data Architecture/Data Engineering/Data Platforms.- Strong hands-on experience with Microsoft Azure and Databricks.- Deep knowledge of Azure Synapse, ADLS Gen2, Delta Lake, Azure Databricks, ADF, and ...
NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower ...
... internal stakeholders Develop detailed work plans for project activities within scope of application or platform responsibility. Four years Bachelor's degree in computer science, Computer Engineering, Information Technology or relevant field. Experience Minimum 5-8 years of development experience writing scripting using java, ...
... Scale & Data Management: Proven experience building highly scalable business applications, handling complex business flows, and processing massive volumes of data. Database Proficiency: Solid understanding of relational databases (e.g., MySQL) as well as NoSQL technologies (e.g., HBase, Elasticsearch, Aerospike). Engineering ...