... pgsql, tsql, plsql- Working knowledge on Data loads, ETL and data migrations- Expertise in building complex stored procedures, functions- Should have exp in database auditing and identifying performance bottle necks.- Good understanding on application lifecycle.- Expertise in database setup, user management & deployments- ...
... storage. Build and maintain medical imaging data repositories, ensuring seamless access, query optimization, and compliance with healthcare regulations. Implement data processing workflows for clinical imaging data (CT, MRI) to extract, standardize, and structure metadata. Develop scalable solutions for medical imaging data ...
... and improve data quality. Monitor pipeline reliability, data availability and performance. What we're looking for - 5+ years of experience in Data Engineering, Data Operations or a related field. - Strong experience with GCP and Azure data platforms. - Hands-on experience in data pipelines, ETL, databases and data warehousing. ...
... runbooks, and troubleshooting guides. Maintain database inventory and dependency information. Provide evidence and support for internal and external audits. Ensure database operations comply with organizational security and compliance requirements. Required Technical Skills Strong experience in database administration and production ...
... hands-on Senior Software Engineer is a role within multi-disciplined, agile teams. Responsible for producing high-quality, appropriate web based solutions for both internal and external customers in Prepaid Management Services. The Agile Team ensures all development work adheres to design and development standards, guidelines ...
Experience: 3 -5 Years (In Data Analytics) Mode: Hybrid - Fulltime Location: Bangalore Must Have Skills: Advanced SQL, Complex queries, Business Analysis, Experimentation Prefer: Immediate Joiners/Serving Notice Key Skills & Qualifications: Advanced SQL expertise with strong proficiency in writing and optimizing complex ...
... boosting/bagging techniques, Scikit-learn, StatsModels Strong problem-solving and live coding ability under time pressure SQL — mandatory for working across client data pipelines Minimum 2 years of full-time Data Science experience (internships do not count unless from a premium company) Experience at product companies — Ola, ...
... bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. Data and Applied Science The context engine that makes AI enterprise ready. Anyone can build an AI agent. What makes SAP's agents different is accuracy grounded in ...
... 6+ years of experience in a Data, Engineering, Science, or similar role w/ proven track record of leading the design, development, and deployment of AI-first data products and solutions (preferably using Python). - Extensive hands-on experience building and optimizing data pipelines, products, and solutions. - Strong SQL ...
... transactional data. You will work closely with Data Engineering, Product, Technology, Analytics, and Business teams to turn complex business problems into scalable data science solutions. Mortgage domain experience is preferred but not required. We are equally interested in candidates with strong data science fundamentals who ...
Job Role: Senior Platform Data Engineer (Databricks) Architect and operate large-scale distributed data platforms using Databricks and Spark. Architect Databricks deployments Drive performance standards 8+ years of data or cloud engineering experience - Production ownership experience - Responsible for the end-to-end administration, ...
... Kinesis, 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 ...
... feedback. Ensure continuous professional development of team members. Qualifications Educational qualifications & Experience: Bachelor's degree in computer science, Information Security, or related field. 10–12 years of experience in data loss prevention, data discovery/classification, and database/data security. Experience ...
Data & AI ArchitectLocation: Hyderabad / Bangalore / PuneKey Technologies:Databricks | Microsoft Fabric | GenAI | LLM | RAG | PySpark | Data Lake | Lakehouse | Data Warehouse | Data ModellingRole Overview :We are looking for an experienced Data & AI Architect to design and lead enterprise - scale Data and AI architectures. ...
... Performance Tuning Spark Performance Optimization Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field. - 2–3 years of experience in Data Engineering, NLP Engineering, or AI Data Processing. - Experience working with large-scale datasets and distributed computing frameworks.
... disruptions of the future. We are looking forward to hire Azure Data Lake (ADL) Professionals in the following areas : Role - Azure Data Engineer Azure Data Lake, Data Factory, Pipelines, Synapse (mandatory) SQL, Python, PySpark / Spark-SQL Web tech, relational DBs, data warehousing, ETL design Microsoft Certified Data Engineer ...
Data Scientist will be responsible for supporting the Data Analytics and Billing & Reimbursement teams with demonstrable positive return on investment to internal process owners and executive leadership in terms of improved market growth, reduced operating costs, and improved process effectiveness and efficiencies across ...
... compliant data flows in a cloud environment.- Microservices Integration : Collaborate on Service-Oriented Architecture (SOA) and microservices to ensure seamless data flow between application layers and the data platform.- Database Management : Manage diverse data storage solutions, including Relational (PostgreSQL/MySQL), ...
... the accuracy, safety, and relevance of AI-generated outputs for https://jobeax.com/link/ddjT6tyr2q59Y1Of Skillset : - Demonstrated expertise in Python and the data science stack, including Pandas, NumPy, and Scikit-learn, to manipulate and analyze complex datasets effectively.- Proven ability to design and fine-tune Deep ...
... Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. A minimum of four years of professional experience in data engineering or similar roles is required. Certifications such as Microsoft Certified: Fabric Data Engineer Associate, Azure Data Engineer Associate, or Databricks ...