... 15-minute schedules), including idempotency, backfills, and late-arriving data patterns - Experience with orchestration and transformation tooling (e.g., Strong data quality discipline: automated tests/expectations, monitoring/alerting, and clear SLAs for critical datasets - Comfortable working hybrid in Bengaluru (Whitefield) ...
... Bengaluru office. You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning we would like to talk to you. Function : Data Science and ...
... leading the system design and implementation of technical solutions. Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems. You have a deep understanding of data modeling and experience with modern data engineering ...
... end-to-end data platform implementations encompassing data ingestion, transformation, storage, processing, governance, and consumption. Architect batch and real-time data pipelines leveraging modern big data frameworks and cloud-native services. Provide technical leadership and hands-on guidance to engineering teams, ensuring solution ...
... performant Use AI tooling within DE workflows, including code generation, pipeline automation, and data quality checks Contribute to and help shape company-wide data governance standards Collaborate with analytics, BI, and business teams to deliver trusted, well-modeled data 5–7 years of hands-on data engineering experience ...
... a multi-layer multi-objective problem space which has a unique impact on Global consumer base and powers assisted AI for our associates. The team consists of data scientists, application engineers, big data geeks and product visionaries all working together to design, prototype and build technology-driven products and experiences ...
... https://jobeax.com/link/uw09q4zp7W2jeNTj :- Design and develop scalable data pipelines using PySpark and Spark SQL on Azure Databricks.- Build and orchestrate ETL workflows using Azure Data Factory (ADF) and ADLS.- Develop and maintain modern Lakehouse architecture while ensuring data quality and reliability.- Monitor production data pipelines, troubleshoot ...
... Hands-on experience with model deployment tools such as Docker, Flask, FastAPI, or cloud-based ML services (AWS SageMaker, GCP Vertex AI, etc.). - Proficiency in working with structured/unstructured data, SQL. Added Advantage: - Experience in Computer Vision (e.g., OpenCV, YOLO, or related frameworks). - Exposure to NLP/LLMs ...
... 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 Science Data Engineer Work Type: Full Time At VIDA we're building the future of digital identity. As a Data Engineer you'll work across the stack—from platform and infrastructure to data pipelines and end-user tooling. You'll help us modernize our batch ETLs and lead our push into streaming and real-time fraud detection. ...
... support business objectives. Lead the design and development of advanced data pipelines, ensuring seamless ETL/ELT of data into enterprise storage systems. Oversee data integration from diverse sources, maintaining data consistency, integrity, and compliance with enterprise standards. Optimize data pipelines and workflows for ...
... analytic skills related to working with structured and unstructured datasets.- Working knowledge of message queuing, stream processing, and highly scalable "big data" stores.- Experience supporting and working with cross-functional teams and Global IT.- Familiarity of working in an agile based working https://jobeax.com/link/1WbmlmCgbnFpHH5X ...
... implement process improvements based on data analysis Manage testing, approvals, and hypercare activities with customs brokers and Internal stakeholders. Monitor data quality and provision status during stabilization phases. Smart Work (Hybrid Work Model): Enjoy a healthy work-life balance with our hybrid remote work options, ...
... 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 ...
... 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 principles, practices and frameworks, with experience building enterprise-wide ...
... Drive query optimization and data access strategies for APIs serving real-time compliance dashboards, establishing benchmarks and SLOs Lead data infrastructure work for AI/ML features, including dataset curation, feature engineering, and pipeline design supporting cloud-native AI capabilities Define and enforce data quality ...
... https://jobeax.com/link/OBSYxKmspgkYWOcn Responsibilities:- Design, develop, and maintain data pipelines.- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality data solutions.- Optimize data workflows for performance and scalability within the Azure environment.- Ensure data quality, ...
... collaboration with different teams to optimize data handling and support organizational data needs effectively. Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. Monitor and troubleshoot data pipelines to ensure reliability and performance. Document data processes and workflows ...
... background. Candidates who are already comfortable working in a remote or hybrid environment and are looking for a new project opportunity are encouraged to apply. The Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. ...
... contributing to large-scale data projects on Google Cloud Platform. You will work closely with senior engineers and data analysts to build and maintain robust data pipelines, helping to turn raw data into actionable https://jobeax.com/link/d6zqLcygnqsI43u7 Responsibilities:- Develop, test, and maintain data pipelines and ...