... standards.- Develop and review Python-based data engineering solutions, frameworks, and reusable components.- Design and optimize ETL/ELT pipelines for large-scale data processing.- Work with structured and unstructured data across data lakes, data warehouses, and modern data platforms.- Define strategies for data ingestion, ...
... expertise in designing and managing Snowflake data warehouses, including performance tuning and resource monitoring.- Proficiency in building modular and scalable data transformations using Data Build Tool (dbt).- Advanced capability in writing complex SQL and Python scripts to manipulate large datasets and automate data processing ...
... modernization https://jobeax.com/link/kkDbvrIMy4LMWx0B Skills & Experience : - 59 years of experience in data engineering, with at least 23 years specifically on BI/data warehouse modernization projects.- Strong SQL skills and hands-on experience with at least one cloud data platform (Snowflake, Databricks, Azure Synapse, Redshift, ...
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
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, ...
... AI, and financial services data science, bringing innovative approaches into the organization. Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, Engineering, or another quantitative discipline. Master's or PhD is a plus. At least 3 years of hands-on experience in Data Science, Machine ...
12k
... just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on. As a Provider Data Operations Team Lead, you will have end-to-end ownership of planning and execution for both internal processes and projects. You’ll be responsible for supervising ...
... in machine learning, predictive analytics, and cloud-based model deployment (preferably on Google Cloud Platform – GCP). This role involves leading end-to-end data science projects from problem definition to production deployment, while collaborating with cross-functional teams to transform complex data into actionable business ...
$8 USD
... programming language (Python OR Java) Proficiency with Pyspark,relational databases, SQL and data pipelines Knowledge of financial concepts (e.g., Experience in data modeling and visualisation is a plus Experience with any public cloud is highly desired (AWS preferred) Experience with data-lake or data platforms like Databricks ...
... partitioning, and materialization strategies.- Develop and maintain CI/CD pipelines for dbt projects and Airflow deployments using Git-based workflows.- Monitor data pipelines, resolve production issues, and ensure high availability and reliability.- Collaborate with data analysts, business stakeholders, and engineering teams ...
... data processing.- Work with ADLS, Azure Databricks, Azure Data Factory, Synapse, and Azure SQL DB.- Build and maintain data lakes, analytical pipelines, and data processing frameworks.- Work with Delta Lake / Delta Live Tables for reliable data processing.- Develop solutions for both big data and relational database environments.- ...
... recommendations to stakeholders.- Collaboration: Partner with cross-functional teams to understand business requirements and deliver data-driven solutions.- Data Governance: Maintain high standards of data accuracy and integrity across reporting systems.- Data Visualization: Experience with data visualization tools such ...
Full time
- Remote
- Hybrid
- On-site
- Contract
675k
... driving query resolution to closure within agreed timelines. Utilizes available hardware and software to support the effective conduct of the clinical study data review and capture. Verifies site compliance with electronic data capture requirements. - May perform investigational product (IP) inventory, reconciliation and ...
... https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :Leadership & Strategy :- Lead, mentor, and grow a high-performing data science team.- Define and execute the data science roadmap aligned with business goals.- Collaborate cross-functionally with Product, Engineering, and Business units to prioritize projects and deliver ...
$30 USD / hour
... accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. What We Do The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality ...
... US product and analytics team. Build statistical and ML models to create, expand, and score audience segments from survey, panel, purchase, and media-exposure data Lead data fusion work, combining deterministic and probabilistic sources into one representative consumer view while correcting for bias Partner with ML Engineering ...
... (dashboard creation, data modeling, DAX/Calculated Fields). - Solid understanding of SQL for data extraction and manipulation. - Experience working with relational databases (e.g., MySQL, PostgreSQL, BigQuery). - Strong understanding of data visualization best practices and storytelling with data. - Experience in cleaning, transforming, ...