... year of working experience as Google Cloud Platform (GCP) developer. - Proven experience in building and maintaining a scalable Data Warehouse in a cloud-based data platform, preferably in Google's BigQuery. - Experience with the primary managed data services within GCP, including DataProc, Dataflow, BigQuery etc. - Proficiency ...
... looking for engineers and data scientists who will being not only an abundance of experiences in technologies but an abundant curiosity to innovate. Also, the data science community at Walmart Labs is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All ...
... data-driven strategies.- Knowledge of data engineering and data governance principles.- Ability to bridge technical and business domains, translating complex data concepts into actionable strategies.Qualifications:- Master's/PhD in Data Science, Statistics, Computer Science, Business Administration or a related field.- ...
About the Role:KPI Partners is seeking a skilled Azure Data Engineer with expertise in data engineering, cloud solutions, and experience with data pipeline development using Azure services. You will play a key role in designing and implementing scalable data solutions that drive insights and business decisions for our https://jobeax.com/link/OBSYxKmspgkYWOcn ...
... 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 ...
... insurance is bought, sold, and underwritten. About the 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 ...
... Data and Analytics team in Bangalore Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our ...
... maintain robust data pipelines, helping to turn raw data into actionable https://jobeax.com/link/d6zqLcygnqsI43u7 Responsibilities:- Develop, test, and maintain data pipelines and ETL/ELT processes using Python, SQL, and GCP services.- Write and optimize complex SQL queries in BigQuery for data transformation, extraction, ...
... improve platform performance and resilience. Integrate with customer data platforms and pipelines, including bespoke data frameworks. 4–8 years of experience in data engineering or backend development in data-intensive environments. Proficient in Python and SQL; Strong experience with cloud-native data tools and services (S3, ...
... optimising data delivery and re-designing infrastructure for greater scalability.- Collaborate with stakeholders to ensure seamless integration of data with internal data marts, enhancing advanced reporting.- Setup and maintain data ingestion, streaming, scheduling, and job monitoring automation using AWS services.- Setup Lambda, ...
... operating in environments with variable network connectivity. Data Architecture & Edge Ecosystem Design Design, build, and maintain a highly resilient, scalable data architecture capable of syncing, storing, and processing massive datasets from both centralized cloud services and distributed edge devices (battery swap stations ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. AWS AI Services Minimum 3 Year(s) ...
... understanding of supervised and unsupervised ML algorithms. - 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., ...
... architectures - Deep SQL expertise; hands-on experience designing schemas and tuning queries at production scale - Extensive, hands-on experience with AWS cloud data services for storage, compute, messaging, and eventing - Advanced Python proficiency for pipeline development; experience structuring code for maintainability ...
... generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. https://jobeax.com/link/6WcBICn0LM558SP0 AWS AI Services Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full ...
... Python. Develop and optimize large-scale data transformations using PySpark. Ensure data quality, reliability, and performance of data pipelines. GCP BigQuery Data Ingestion & ETL/ELT Data Pipeline Orchestration Python PySpark Strong SQL and data engineering fundamentals hands-on experience in GCP-based data platforms.
... time-series, and unstructured data across Linde's global operations Develop unified data platforms ensuring secure, governed, and efficient access to enterprise-wide data Build and manage robust data pipelines integrating sources like ERP systems, IoT devices, iHistorian, web services, and external APIs Leverage modern data engineering ...
... interface performance during hypercare. Data From Process to Data Lake Data Validation & Process Improvement Support automation of CSV-Data upload by validation and data quality checks Perform data validation and cross-checks to ensure data quality and consistency Validate raw data and transform structured data to Data Model as ...
... and/or streaming) using at least one distributed framework (e.g., Comfortable with SQL and a transformation framework (e.g., Familiarity with AWS services for data (any mix of S3, EMR/Glue, Kinesis/MSK, Lambda, Redshift/Athena) or equivalent cloud experience. Experience using Terraform (or similar IaC) to manage data/platform ...
... engineering challenges, grow your technical ownership, and collaborate with experienced engineers across the development lifecycle. Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service ...