... with cloud-based data platforms and services, including AWS, Google Cloud, or Microsoft Azure. - Familiarity with MLOps, machine learning infrastructure, or data science workflows. - Experience building data systems that support analytics, machine learning, or other high-volume data applications. Who Should Apply This ...
... nearby. As a travel guidance company available in 43 markets and 22 languages, This client makes planning easy no matter the trip type. Utilize SQL and other data analysis tools to extract insights from large datasets and provide actionable recommendations to improve marketing campaign performance. Monitor and analyze the ...
... Competitive salary Experience ai ai is a premier IT services consultancy specialising in Databricks to help organizations unlock the full potential of their data. We partner with enterprises to accelerate their journey to becoming data-driven by delivering end-to-end Databricks services across Lakehouse implementation, ...
... including advanced query writing and database management. Strong programming foundation in Python: Data manipulation and analysis using Pandas, NumPy, and PySpark. Data serialization and formats — JSON, CSV, Parquet. Database interaction to query cloud-based data warehouses. Cloud services such as S3 and AWS Lambda for infrastructure ...
... Apache Airflow or similar orchestration tools. Version Control & CI/CD: Experience using GitHub for version control, CI/CD workflows, and automated testing of data models and pipelines. Cloud Platforms: Familiarity with AWS services such as S3 and cloud-based data infrastructure. Arrive, including brands like EasyPark, Flowbird, ...
... experience designing and building applications using classical ML models and Large Language Models (LLMs). - Expert-level proficiency in Python, SQL and its data science libraries (e.g., Proven track record of leading complex, end-to-end data science projects that have delivered significant business impact. Experience ...
... freshness, completeness, reconciliation, and anomaly detection.- Implement monitoring, alerting, structured logging, and observability for data pipelines and services.- Own pipeline SLAs, incident response, troubleshooting, and root-cause analysis.- Manage backfills, safe re-runs, schema evolution, and data migrations while ...
... Data Warehouse Architect to design and optimize scalable cloud-based data warehouse solutions. The candidate should have strong expertise in Snowflake, modern data warehousing principles, ELT frameworks, and cloud platforms like Amazon Web Services, Microsoft Azure, or Google Cloud https://jobeax.com/link/f5FQc9SxrVvnQKkz ...
... etc). Create visualizations to help us deeply understand what our networks learn and why. Very comfortable writing Python. Atleast 3-6 years of experience in Data Science Strong data structures, algorithms, and engineering mathematics background. Familiar with PyTorch and training deep neural networks is preferred but not ...
... monitor performance, implement guardrails, and ensure AI systems remain accurate, compliant, and efficient in production.- AI Application Development : Analyze data and develop bespoke AI applications, including retrieval-augmented generation (RAG) pipelines and data enrichment services, that enhance decision-making and automate ...
... you an all-around data enthusiast with a knack for ETL We're hiring Data Engineers to help build and optimize the foundational architecture of our product's data. We've built a strong data engineering team to date, but have a lot of work ahead of us, Migrating from relational databases to a streaming and big data architecture, ...
... companies. Job Title: Data Warehouse Engineer Workplace Type: Remote The future is bright for the Porch Group, and we'd love for you to be a part of it as our Data Warehouse Engineer with the Data team . We are seeking a Data Warehouse Engineer to join our data team as a strong individual contributor. In this role, you will ...
... zero carbon emissions by 2050. To make this transition, senior software engineers need to power our business end to end, from building new infrastructure and services through to customer facing web and native mobile applications. We are hiring passionate AI Software Engineers (Data Scientists) with experience in Python Programming ...
... AI-assisted tools to accelerate development — generating boilerplate code, drafting SQL/dbt models, writing documentation, debugging pipeline failures, and summarising data quality issues Partner with data quality, governance, and analytics teams to ensure data is well-modelled, well-documented, and trustworthy Optimise Snowflake ...
... 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 ...
Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. The below role is for our ...
... LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering ...
... business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications - Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience - 1 - 2 years' Data ...