... 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, ...
... 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, ...
About the Role: As a Data Scientist, you'll embark on an exciting career journey, mainly focusing on supporting the team with entry-level data tasks while gaining exposure to a variety of data science techniques. You will help collect, clean, and analyze data to provide preliminary insights that will contribute to predictive ...
... 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. ...
... Skills, Education, or Experience - Experience developing and supporting data integration, ETL/ELT processes, data pipelines, and data transformations using modern data platforms and cloud-based technologies. - Working knowledge of data modeling, SQL, data quality practices, metadata management, and data governance principles ...
We are looking for a Senior Data Engineer with strong expertise in Azure Databricks, PySpark, and distributed computing to develop and optimize scalable ETL pipelines for manufacturing analytics. The role involves working with high-frequency industrial data to enable real-time and batch data processing. Perform data pre-processing, ...
... develop, and maintain scalable ETL/ELT data pipelines on GCP.- Build and optimize data solutions using BigQuery, Dataflow, Cloud Storage, and Pub/Sub.- Develop data processing workflows using Python, SQL, and Spark/PySpark.- Design and implement data models and data warehouse solutions.- Perform data ingestion, transformation, ...
... management practices.- Build, mentor, and scale high-performing AI Engineering and Data Science https://jobeax.com/link/2mGCGUAQ2cwJhAx8 Candidate :- 1. Strong Lead Data Science, AI Engineer, or Machine Learning Engineer profiles.- 2. Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience ...
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... structures, algorithms, design concepts, and programming practices. - Data modelling for OLAP workloads, Scalability design and query optimisations - Understanding of data consistency at cloud scale, eventual consistency models - Hands on experience with Big data tools and frameworks (Datalake / Lakehouse, ETL) preferably in public ...
Role Purpose This incumbent should be a highly motivated Project Manager – DCBU to lead end-to-end execution of fiber-centric data center network infrastructure projects, including AI Datacenters Key Responsibilities - Manage structured cabling projects across all lifecycle phases: initiation, planning, execution, monitoring, ...
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. Must have skills : AWS Glue ...
... and optimizations within the data platform architecture. Must To Have Skills: Proficiency in Data Engineering, Python (Programming Language), Data Wrangling, Data Mining. Experience with Python (Programming Language), Data Wrangling, Data Mining. Strong understanding of data integration techniques and data modeling concepts. ...