... Oracle Database and SQL performance tuning. - Experience working with large datasets and data manipulation. - Experience with job schedulers and ETL tools (e.g., Familiarity with REST APIs and JSON/XML data formats. Exposure to cloud platforms (AWS) is a plus. Knowledge of data modeling and database design best practices.
... requirements, understand data needs, and translate them into technical solutions. Design and implement data CI/CD pipelines to enable automated and efficient data integration, transformation, and deployment processes. Monitor and troubleshoot data pipelines, proactively identifying and resolving issues related to data ingestion, ...
... BigQuery based data lakes and warehouses. Real Time Data Processing: Implement and manage streaming data pipelines using Kafka, Pub/Sub, and similar technologies. Data Analysis & Visualization: Create insightful data dashboards and visualizations using tools like Looker, Data Studio, PowerBI, or https://jobeax.com/link/B8y9AYCjgVVEqFTV ...
... systems into offline datastores. Work with Product Managers, BI engineers, Software Engineers and Data Scientists to design, implement and support high quality data products. - Partner with cross functional teams across Devices organization to ingest relevant datasets into the Alexa Smart Home BI data-warehouse. - Collaborate ...
... troubleshoot, and resolve data pipeline failures to ensure data availability and reliability within defined SLAs. Collaborate with Business Intelligence Engineers, Data Scientists, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions. Implement data quality checks, validations, ...
... Information Retrieval, Semantic Search, Recommendation services (on top of Elasticsearch also leveraging LLMs/Embeddings and GenerativeAI) Large scale distributed data processing (based on Apache Spark / Scala) Streaming data processing (based on Google DataFlow/ApacheBeam) Senior-level ML engineers are preferred, but all levels ...
... artificial intelligence, and visualization tools to improve engineering productivity, resource planning, quality, performance management, and strategic execution. Data Analytics & Business Intelligence - Collect, cleanse, validate , and analyze data from multiple enterprise systems. - Develop dashboards, scorecards, and reports ...
... FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Experience with dbt (data build tool) for transformation layer management and semantic modeling. - Familiarity with data lakehouse ...
... Global Capital, CoinFund, Gumi Cryptos) and crypto projects (Aave and Kyber Network). Support our analytics team by owning the full ETL lifecycle—from master data to analytics-ready datasets. You will build and maintain daily batch pipelines that process 1-10 million master-data rows per run (and scale up to tens or hundreds ...
AI + Data Engineer — Fully Remote Bhalekar Consulting · Applied AI & Data Engineering · Official Anthropic & Databricks Partner We're an applied-AI and data consultancy delivering production-grade AI and data platforms for clients across financial services, retail, supply chain, and the public sector. As an official Anthropic ...
... communication of progress update in required intervals. - Coordinate with different stakeholders which include but not limited to frontline support engineer, Incident Manager & client stakeholders. - Help Team in constructing more meaningful and effective responses to client. - Own and drive service improvement actions. - Monitor ...
... 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 ...
... systems for ensuring data accuracy and compliance. Adept at collaborating with cross-functional teams and delivering solutions that align with business objectiv Data Analysis/Business Data Analyst/Technical Business Analyst Data Enginee ring (Data Governance(Collibra), Data Profiling, Data Modelling, Data Visualization) Data ...
... LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, ...
... Data Research Analyst, you will dig into large datasets to answer open questions, validate hypotheses, and turn raw numbers into clear, decision-ready findings. Data Analysis Query, clean, and analyse large datasets to answer research questions Build metrics, cohorts, and segments from product and business data Run exploratory ...
... with hyper-focused, domain-cantered teams and cutting-edge tech, data, and analytics. The Data Analyst is responsible for receiving, vetting, and fulfilling data and reporting requests from clients and internal teams. This role ensures the accuracy, confidentiality, and usability of data delivered to stakeholders and supports ...
... senior leader in the data engineering team, you will set the standards for best practices and will be a mentor to other data engineers. Define and lead enterprise data architecture strategy with strong focus on Azure-based modern data platforms and Lakehouse architecture. Architect, design, and optimize scalable Data Warehouse ...
... customers. As a Data Scientist at Amazon Prime Video APAC and ANZ analytics team, you will have the opportunity to work on one of the world's largest consumer data sets, influence the long term evolution of our analytics capability and support the expansion of Amazon's digital video business. The Data Scientist will work ...
... environments. Database Advanced SQL Server expertise. Query tuning and performance optimization. Data modeling (star schema, dimensional modeling). Cloud and modern data platforms Azure Data Factory, Fabric, Synapse, Databricks, or similar platforms. Experience with modern data lake and warehouse architectures. Data orchestration ...
... Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and ...