... Docker, Cloud-Native Infrastructure, CI/CD pipelines. Industry Context: Data engineering experience in Banking Risk, Retail Products, Cards, Mortgage, Deposits, or Wealth Management. Assumed Requirements / Certifications: Databricks Certified Data Engineer, AWS Certified Data Analytics, or Azure Data Engineer Associate.
... AI-first data strategy at scale across 120M+ customer interactions. Databricks Apps & Self-Serve AI Develop and deploy internal AI-powered applications using Databricks Apps — enabling business users to interact with ML models, RAG systems, and analytics agents through governed, self-serve interfaces. Integrate Databricks ...
... with cloud platforms (AWS / Azure / GCP).- Familiarity with MLOps tooling and practices (e.g., model versioning, CI/CD for ML, monitoring).- Experience with big data technologies (Spark, Databricks, etc.).- Bachelor's / Master's / PhD in Computer Science, Statistics, Mathematics, or a related quantitative https://jobeax.com/link/sEOksQVqU173JbV8 ...
... practices across the organizations data https://jobeax.com/link/Rxp61lee69YeFmrt Qualifications :- Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field.- 8+ years of experience in data engineering and architecture, with a proven track record of leading large-scale data initiatives.- ...
... ecosystems.- Exposure to GenAI / AI integration with data platforms.- Experience in domain analytics (Insurance, BFSI, Healthcare).- Familiarity with modern data stack tools (dbt, Python frameworks, Spark).Education : - Bachelor's/Master's in Computer Science, Data Engineering, Information Systems, or related field. (ref:hirist.tech)
... data infrastructure remains a competitive asset in a fast-paced https://jobeax.com/link/CO851KAPNv79RH57 Responsibilities : - Architect and maintain complex data models that serve as the foundation for enterprise-wide reporting and advanced analytics, ensuring high data integrity and performance.- Lead the end-to-end design ...
About the role :We are scaling our geospatial data-science capability - turning multi-source data (mobility, points of interest, demographic datasets, transaction signals, satellite imagery) into validated location attributes at fine spatial granularity (grid- and address-level) and powering ML models that are served as ...
... testing, and maintaining architectures such as databases and large-scale processing systems, ensuring that architectures support data analytics, and preparing data for prescriptive and predictive modeling. Data engineers also develop data set processes for data modeling, mining, and production, integrate new data management ...
... to: - Define and maintain enterprise data models and domain boundaries using traditional and AI-enabled methods - Design and govern reusable data assets and data products - Establish standards and patterns for robust, scalable data pipelines - Ensure data is discoverable, trustworthy, and fit-for-purpose for analytics, ...
... analysis to validate source data, understand distributions, and surface data anomalies during scoping and build phases. Work with stakeholders to define and monitor data SLAs, ensuring data products are trustworthy and consistently delivered. What You Bring - 4–6 years of experience in data engineering, analytics engineering, ...
... composable platform, Aera empowers organizations to optimize and automate all types of decisions, across every business area. We are looking for an Associate Data Scientist who is exceptional at understanding data, extracting insights, and turning those insights into robust machine learning or statistical models. You will ...
... purity process utility systems serving the semiconductor, PV Solar and other high-tech industries . With a deep-rooted legacy in turnkey solutions for the life sciences industry, we bring unmatched expertise in designing, manufacturing and installing complex utility systems. We are seeking a driven and detail oriented Design ...
... libraries and frameworks like numpy, pandas, pyspark, matplotlib, Flask, FastAPI, TensorFlow, PyTorch, scikit-learn. - Strong skills in software engineering, data processing, analytics and data visualization libraries - Proficiency in data structures, algorithms, building and maintaining data pipelines. - Experience with ...
... troubleshooting, and user support.- Analyze business requirements and translate them into effective Veeva CRM/Event Management solutions.- Support CRM integrations, data management, and related Veeva modules.- Handle production support, incident management, and change management activities.- Collaborate with business stakeholders ...
... assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing Data Engineering solutions in the data and analytics domain. Develop high ...
... batch jobs, database replication & Kafka- Set up and maintain monitoring/observability for data pipelines- Support ML pipelines, Airflow workflows and production data science infrastructureIDEAL PROFILE:Looking for candidates with strong hands-on experience in:- Data Operations- Production Data Engineering- Data Platform Support- ...
Bachelor's degree in a quantitative field (such as Engineering, Computer Science, Statistics, Econometrics) and a minimum of 3 years of experience • Minimum 3 years of experience in design, build and deployment of Ab Initio-based applications • Expertise in handling complex large-scale Data Lake and Warehouse environments ...
... affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical reporting frameworks Support data validation, UAT, process improvements, and analytics initiatives. Experience & Qualification: Python Power BI & Dashboard Development Data Modeling & Data Validation ...
... 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 ...
... and development Data quality validation and monitoring Schema design for analytics and reporting Performance optimization and scalability Preferred Experience Databricks Delta Lake experience Azure Synapse Analytics Python for data engineering Spark SQL optimization Real-time data streaming Data governance and metadata management ...