... working with data and data systems and play a critical role in building finance data sources and frameworks, ensuring the scalability and reliability of our data Shift time: 5.00 PM - 2.00 AM Own,build, and maintain scalable data pipelines that connect various cloud data sources. Design, build, and manage reliable data ...
Rs 3 - 6 lakhs p.a.
... of an Oracle administrator to implement new tools or to automate process. Implement Patches, updates and involved in Vulnerability Management for the Oracle Databases Configure the Oracle databases and adjust them to the application and bank requirements. Monitor the performance of the databases in order to avoid incidents. ...
... exposure to DevOps, automation, and Agile delivery https://jobeax.com/link/TtkK7BHPbancvnFq Responsibilities : - Administer, monitor, and troubleshoot MS SQL Server databases and Windows environments.- Perform database maintenance, backup/recovery, performance tuning, and production support.- Troubleshoot complex database, application, ...
... systems, Spectrum-X and Quantum InfiniBand networking, and high-performance storage. Build orchestration layers through Kubernetes, including the NVIDIA GPU Operator, Network Operator, and Run:ai. Translate field findings into product feedback for NVIDIA engineering as well as build reusable assets such as reference architectures, ...
... deployment and support. Adept at working in Agile environments and collaborating with cross-functional teams. Brings strong expertise in cloud platforms, big data technologies, and data integration tools, with a keen interest in the healthcare domain and emerging AI accelerators. Role: Senior Data Engineer Location: All ...
... for the enterprise data platform, collaborating closely with HQ architects and engineering leads.- Lead the design, development, and maintenance of scalable data platforms using Databricks, Data Lake, Data Factory, and Data Warehouse.- Defining and implementing integration patterns across ingestion, transformation, and ...
... experience with modern data stack tools (dbt, Looker, etc.) • Machine learning infrastructure and MLOps architecture expertise • Contributions to open-source data infrastructure projects • Published technical articles, conference talks, or thought leadership in data platforms • Expert knowledge of data privacy frameworks ...
... Being Successful in This Role Minimum 5 years of experience in software development and system design Minimum 2 years of experience as a Data Engineer focused on data modelling, governance, and platform administration. Expertise in Snowflake or similar MPP databases. Strong SQL skills. Experience with multiple database technologies ...
... large-scale data processing and integration.- Develop automation and data processing scripts using Python or Scala.- Work with structured and semi-structured data from multiple data sources.- Implement and support data orchestration, data quality, and data governance processes.- Integrate streaming data sources and technologies ...
... usage onsite or in the cloud. Contributes to the setting of standards for data and BI platforms and ensures conformance to these standards Job title: Senior Data Engineer Job Description: We are looking for a motivated Databricks Senior Data Engineer to support the delivery of data engineering solutions across Databricks ...
Key Responsibilities : Data Engineering & BI Modernization : - Design and build ETL/ELT pipelines to migrate legacy BI systems (SSRS, Cognos, legacy SSAS/OLAP cubes) to modern cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, or similar).- Re-architect and optimize data models (star/snowflake schemas, ...
... building, and continuously evolving a digital commerce and monetization platform that delivers valuable outcomes for enterprises. Our platform, Digital Network Operator® (DNO™) Cloud, is licensed to telecommunications services providers and supports millions of customers globally. LotusFlare has also designed and built the ...
... management practices.- Build, mentor, and scale high-performing AI Engineering and Data Science https://jobeax.com/link/2mGCGUAQ2cwJhAx8 Candidate : - Strong Lead Data Science, AI Engineer, or Machine Learning Engineer profiles.- Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience ...
Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, ...
... needs as part of the Customer Journey - Establish a digital environment and automate processes to minimize variation and ensure predictable high-quality code and data. Create technical test plans and records, including unit and integration tests to drive fully automated test execution. - Provide support to DevOps teams working ...
... with colleagues to understand data requirements and goals. - Stay updated with the latest data science trends and tools. - Document processes followed during data collection and analysis. - Support data integrity and validation initiatives. Skills: - Data Collection: Ability to gather data from multiple sources effectively. ...
... robustness, and scalability. Perform end-to-end data science workflows: data collection, cleaning, feature engineering, model training, validation, and monitoring. Experience building and optimizing NLP systems using modern approaches (e.g., Technology- Data Science- Machine Learning, Technology- Machine learning- data science
... and digital trust capabilities. Our flexible and modularized methodology has been utilized by numerous global organizations to build a broad global privacy, data protection, and/or digital trust operations and includes the following phases and activities. Data lifecycle management Policy fine-tuning Cyber Data Operate ...
... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...
... transformation, and loading (ETL) of data. Your responsibilities will include: - Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. - Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. ...