Job Role: Senior Platform Data Engineer (Databricks) Architect and operate large-scale distributed data platforms using Databricks and Spark. Architect Databricks deployments Drive performance standards 8+ years of data or cloud engineering experience - Production ownership experience - Responsible for the end-to-end administration, ...
... the enterprise data lake, ensuring seamless flow and quality. Enhance cloud data infrastructure on AWS or Azure for scalability and performance. Utilize big data tools and frameworks to optimize data acquisition and preparation. Build architectures to move data to/from data lakes and data warehouses for advanced analytics. ...
... and processing - Experience with big data and real-time processing technologies, including Apache Spark, Hadoop, Kafka, and Amazon Kinesis - Experience with data modelling and database design across Structured Query Language and NoSQL platforms - Understanding of data governance, data quality, and security best practices ...
... huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long-term view on architecture of advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to ...
... seasoned Senior Data Scientist with e-commerce expertise to join our dynamic team. Must-Have Skills: Machine Learning Algorithms, Python or R Programming, Big Data Technologies (Hadoop, Spark, or equivalent), Data Visualization Tools (Tableau, Power BI, or similar), SQL and Data Modeling Expertise. Data Analysis & Insights ...
... compelling and clear business focused insights. Can work with multiple databases and big data solutions. Work with the data engineering team to develop & maintain data pipelines. Identify, design, and implement internal process improvements and tools to automate data processing and ensure data integrity while meeting data security ...
... Intelligence Platform team, you will: Build out performant APIs to serve consistent data that serve as sources of truth for many systems in Abnormal. Establish data pipelines that ensure our data is updated regularly and reliably Enhance our frameworks to allow us to make changes to our APIs and datasets in an agile manner ...
... and real time data pipelines Build and maintain robust ETL ELT processes for ingesting transforming and loading data from multiple sources Develop and manage data lakes data warehouses and metadata frameworks Collaborate with cross functional teams to understand data requirements and deliver data solutions Ensure data quality ...
... stakeholders. Data Pipeline Design Operations: Design, develop, and support data pipelines to extract, transform, and load (ETL/ELT) data into the new harmonized data platform. Utilize Azure Data Factory (ADF) for orchestration (scheduling, workflow management) and Azure Databricks (Spark) for large-scale data transformation ...
... Integration: Build and manage data pipelines to ingest data from various sources, including third-party and RESTful APIs. Build ETL/ELT processes using ADF, Fabric Data Flows , and Notebooks. Embed MDM solutions into pipelines, ensuring seamless data sync across systems. Data Storage and Management: Design and implement data ...
Purpose of the role Build and maintain all data pipelines feeding the Databricks lakehouse, ensuring clean, timely, and governed data flows from every source across the Investment Division’s five portfolio clusters and, in later phases, the Group’s operating divisions. Own the bronze-to-silver-to-gold transformation logic, ...
Job Description :We are seeking an experienced Data Science Manager to lead a team of data scientists and analysts in developing data-driven products, insights, and https://jobeax.com/link/5WM6jVJPxXxkaX5M ideal candidate will have a strong background in applied machine learning, data strategy, and stakeholder management, ...
... compliant data flows in a cloud environment.- Microservices Integration : Collaborate on Service-Oriented Architecture (SOA) and microservices to ensure seamless data flow between application layers and the data platform.- Database Management : Manage diverse data storage solutions, including Relational (PostgreSQL/MySQL), ...
... ability to design and fine-tune Deep Learning architectures and NLP models to solve real-world language processing challenges.- Strong proficiency in SQL and Big Data technologies, with the ability to manage and query large-scale databases to support data-intensive applications.- Exceptional communication skills, with the ability ...
... pipelines for enterprise data platforms, ensuring data quality, integrity, and security. Implement data engineering solutions utilizing Microsoft Fabric, Azure Data Factory, Databricks, PySpark, Spark SQL, and Python to process structured, semi-structured, and unstructured data. Build data pipelines that integrate data from ...
... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested ...
... development of AI and machine learning solutions, including data preparation, model training, fine-tuning, and deployment strategies. Design and implement scalable data pipelines to curate, cleanse, and prepare structured and unstructured data for machine learning and foundation model training. Build and optimize complex agentic ...
... Science & Supply Chain talent. Collect business requirements from the various stakeholders (Data Scientists, Product Managers, IM) High interest in developing E2E data solutions DevOps/ Agile WoW Experience in designing and building advanced reports Programming languages: Python, PySpark, SQL Data enthusiast Big data frameworks: ...
... quality. Big Data - Big Data - Pyspark Database - Database Programming - SQL Data Science and Machine Learning - Data Science and Machine Learning - Apache Spark Data & AI - Data Engineering - Data Quality & Validation Data & AI - Data Engineering - Apache Kafka Big Data - Big Data - Azure databricks Data Science and Machine ...
... reliable, high-quality data, driving excellence in analytics and shaping outcomes that impact industries like H ealthcare and Financial Services . Design and build Data Pipelines using GCP services and BigQuery. Develop and optimize data solutions using Java or Python. Ensure data quality, governance, and compliance across projects. ...