... vision, or deep learning. Certifications or courses in data science, analytics, or related fields. Should exhibit diligence and meticulousness in working with data 7+ years of Software Development experience - 4+ years of experience in the Data Science and Machine Learning techniques - Proven track record of getting ML models ...
... analysis and mining techniques to aid in descriptive and diagnostic insights Extensive hands-on experience with Postgres, Redshift, Airflow, MongoDB, and real-time data workflows. Technical Skills : Expertise in Python, SQL, and PySpark Strong background in software architecture and scalable development practices. Tableau, Metabase ...
... HVAC & cooling systems, BIM tools, NFPA/ASHRAE knowledge. Design, coordination & project delivery in high-tech facilities. Senior/ Officer Mechanical Engineer – Data Centres Location: Thane (Mumbai), India Job Type: Permanent Sector: Data Centres, Life Sciences & High Tech Salary: As per company norms About Deerns Spectrum ...
... Perform development work and technical support related to our data transformation and ETL jobs in support of a global data warehouse. Development of new ETL/data transformation jobs, using PySpark and IBM DataStage in AWS. Enhancement and support on existing ETL/data transformation jobs. Can explain technical solutions ...
Company : Very big MNCRole : GCP Data EngineerExperience : 8 - 15 yrsNotice Period : 30 daysLocation : PAN INDIATech Stack :- GCP data engineer- Pyspark- Dataflow- Dataproc- BigQuery- AirflowKey Responsibilities :- Design, develop, and optimize endtoend data pipelines using PySpark, Dataflow, and Dataproc- Implement data ingestion, ...
... here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. As a Senior Data Scientist, you will lead analytics programs, provide technical direction, and partner with cross functional stakeholders to deliver high impact solutions for ...
... scalability. Working on complex data engineering challenges that push the boundaries of cloud data infrastructure. A Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. - 5+ years of experience designing and implementing large-scale data platforms, with at least 2 years of experience ...
... experience in data engineering, building and maintaining large-scale data pipelines and platforms.- 2+ years of hands-on experience with Palantir Foundry, including data ingestion, pipeline builder, transformations and working with Foundry datasets and applications.- Experience building interactive applications using Foundry Workshop, ...
BIU:Data Science Lead-Personalization COE INTERNAL USAGE: No. of Vacancies: Reports to: Is a Team leader Team Size: 8-10 Grade: Business: BIU Department: BIU Sub - Department: BIU Location: Mumbai/Bangalore About BIU Axis Banks (Business Intelligence Unit): This is a high profile team with a mandate to drive data based ...
... team and the Solution Architect to understand and groom the user requirements, and design solutions based on AX and software engineer best practices; Prepare technical specifications, flow charts, software diagrams, and other technical documentation; Perform merge, build and deployment activities to promote the code to higher ...
Exp 7-8 Years Work as an Individual Contributor and deliver end-to-end UiPath automation projects with minimal supervision. Take ownership of project delivery from development to deployment. Strong UiPath fundamentals and core components knowledge .
... Platform , which helps banks modernize product, pricing, offers, billing, loyalty, and relationship management; and Zafin IO , an integration platform that connects data, systems, and workflows across complex enterprise environments. Headquartered in Toronto, Canada, Zafin partners with leading financial institutions across North ...
... scalable platform solutions.- Drive engineering excellence across reliability, scalability, performance and maintainability.- Mentor engineers and raise the technical bar of the team.- Influence architecture across ML, Data, Platform, SRE and Infrastructure teams.- Evaluate emerging technologies and make pragmatic build-vs-buy ...
... 10 Years Interview Mode: Face to Face What you'll do: Develop software solutions by studying information needs; conferring with users; studying systems flow, data usage and work processes; investigating problem areas; following the software development lifecycle. Actively participate in High-level and Low-Level Design. ...
... Analytics and Data Science teams to develop data quality dashboards, metrics, and reporting. Collaborate with Product and Business stakeholders to prioritize data sources and improvements based on customer and business impact. Contribute to technical design reviews and help establish scalable engineering patterns across ...
... summarization, or recommendations - Solid data engineering fundamentals (SQL, data modeling, ETL/ELT, distributed data systems) and effective partnership with Data Engineering teams - Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related technical field; Strong communication and collaboration ...
... Skilled in using Applicant Tracking Systems (ATS). - Experience with full-cycle recruitment, including sourcing, screening, interviewing, and onboarding. - Technical Expertise: Strong knowledge of technical terminologies, technologies, and skills relevant to IT roles (e.g., Java, .NET, DevOps, Cloud, SAP, etc.). - Communication ...
... robust data pipelines and ensure model reliability in production. Mentor and guide junior data scientists/analysts, providing code reviews, best practices, and technical direction. Work closely with product managers and business teams to translate business needs into data science solutions . Communicate complex findings to ...
... Experience: Bachelor s or master s degree in computer science, Information Systems, Data Analytics, or a related field. Approximately 5+ years of experience in data analysis, data modeling, or data management roles, including involvement in large-scale ERP or data transformation projects (e. g. ERP migration, data warehouse ...
... Data Lake Storage (ADLS) or Amazon S3, and design ingestion pipelines to feed the bronze layer. Build data marts and warehousing solutions using platforms like Databricks. Optimize data storage and access patterns for performance and cost-efficiency. Maintain technical documentation, architecture diagrams, data dictionaries, ...