... business needs into technical solutions by designing data models and reports Perform exploratory data analysis and implement automated data quality checks Optimize data feeds and ensure timely data availability using Change Data Capture and other approaches Maintain data governance by enforcing best practices in data quality, ...
Required Skills :- Solid hands-on experience in various databases, data mining and data analysis methods, utilizing advanced data tools, writing complex SQL queries.- Data preparation, data analysis, identify insights from raw data.- Analyses metrics, key indicators and other available data sources to discover root causes ...
... cloud/enterprise/SaaS. Proven delivery of multi-tenant, cloud-native apps. Hands-on with LLMs, RAG, agentic frameworks (e.g., LangChain, LangGraph, MCP). Strong Python/ML stack, REST/gRPC integration, vector DBs. SAP BTP & HANA experience Databricks or similar data pipelines. Nice to Have: Certifications: Data Engineering Certified ...
... experience with Python, SQL, and PySpark. Strong understanding of unit testing, test automation, debugging, and code quality best practices. Good understanding of data engineering fundamentals and advanced concepts. Experience building scalable and fault-tolerant data pipelines. Strong knowledge of CI/CD, automated testing, ...
... pipelines, transforming data for analytics and AI use cases, and supporting modern cloud-based data https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities :Data Engineering & Development : - Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake, Python, PySpark, and DBT.- Develop robust data ingestion ...
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 : Python (Programming ...
... resolution.- Support and maintain Snowflake data warehouse objects, queries, and performance issues.- Assist in developing and maintaining ETL workflows using Python and PySpark.- Perform root-cause analysis for recurring data issues and support permanent fixes.- Collaborate with data engineers and business teams to resolve ...
... indexing—to power sophisticated analytics models and enable real-time data processing. Lead the development and integration of robust automation frameworks using Python, and API orchestration, introducing innovative solutions to streamline the entire data lifecycle and maximize operational efficiency. Exercise full ownership ...
... large volumes of data and understanding of performance optimisation techniques. Ability to identify inefficient queries or data-processing patterns and work with Data Engineers to improve performance. Hands-on knowledge of Python and PySpark for data analysis and large-scale data processing. Ability to bring together data from ...
... and probability Experience in data cleaning, feature engineering, and model evaluation Knowledge of time series analysis and forecasting Tools & Platforms: Python libraries: Scikit-learn, TensorFlow / PyTorch (preferred) Data visualization: Power BI, Tableau, Matplotlib, Seaborn Big data exposure: Spark / PySpark (good ...
... integrators and technology vendors against technical specification and delivery commitments.- Experience establishing a data engineering function from an early stage is an https://jobeax.com/link/0SsRrzbwgYJapqZ3 Qualifications :- B. Tech / B.E / MCA / Masters in Computer Science, Data Science or equivalent. (ref:hirist.tech)
... Data Science and Machine Learning, with expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture. - PhD in Computer Science, Data Science, or a related field (or equivalent research experience - Experience with leading client presentations on proposed solution. - Familiarity with ...
... end-to-end scheduled and event-driven data workflows using AWS Step Functions and AWS Glue Workflows.4. Data Warehousing & Operational Databases : - Enterprise Data Warehousing : Own the architecture, data modeling, and performance tuning in Snowflake to support downstream BI, connected-fleet dashboards, and data science ...
... https://jobeax.com/link/rCyzW0NBvdP0uFXm Candidate :- Strong Data Scientist / AI Engineer / Generative AI Engineer profile.- 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.- Strong hands-on experience in Python programming, ...
... (e.g., Familiarity with containerization technologies, such as Docker and Kubernetes Experience with UI development using frameworks such as Angular, VUE, or React Experience with NoSQL databases such as MongoDB or Cassandra Experience presenting at data science conferences and connections within the data science community
... for dataset quality and completeness. Bachelors degree in Computer Science, Data Science, or a related field (or equivalent experience). Proven experience in data labelling, annotation, or data preparation for AI/ML models. Familiarity with machine learning concepts and workflows. Basic programming skills (e.g., Python) ...
Our Search datascience team is building a world class search system for Walmart e-comm customers. We use cutting edge machine learning, data mining and optimization algorithms to ingest, model, and analyze Walmart's proprietary online and in-store data, encompassing 95% of American households. Importantly, we build smart ...
Job Description: IF interested, please fill this form: - - 5+ years of experience combined in programming, small to large-scale applications, frontend and backend engineering, test-driven development, microservices and architecture design principles - Must have experience on AI/ML implementation such as: Langchain,
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. Large Language Models (LLMs) ...