... for someone experienced in building and operating data-intensive systems at scale. You will own critical data ingestion and processing capabilities, improve data quality and reliability, and develop AI-powered solutions for complex real-world healthcare data challenges. We are looking for an engineer who combines strong ...
... proficiency in writing and optimizing complex queries. Proven ability to solve business problems through data-driven analysis and business case studies. Strong communication and stakeholder management skills, with the ability to translate insights into actionable recommendations. Good to have skill - Python Solid understanding ...
... Machine Learning, Scikit-learn, XgBoost, SQL GeoIQ (a Lenskart subsidiary) is India's leading hyperlocal location AI platform, helping businesses make precise, data-driven decisions using street-level intelligence across demographics, income, infrastructure, and commercial activity. As a Data Scientist, you will be a core ...
... enterprise datasets. Bachelor's or Master's in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field recent graduates welcome. - 3+ years of CS, CE, ML or related field experience work - Foundational understanding of knowledge representation, semantic data systems, or graph databases ...
... communication skills, and can present data-driven narratives in verbal, presentation, and written formats. Experience building and managing a cloud deployed data lake Experience working with Kubernetes. Experience working with Agile and iterative development processes. Understanding of network architecture. Compensation ...
... strong data science fundamentals who are excited to learn the mortgage and real estate domain. Who You Are You are a hands-on Data Scientist who enjoys solving complex problems with data. You are comfortable working across the complete machine learning lifecycle — from understanding raw data and identifying patterns to feature ...
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, ...
... engineering teams during project execution to minimize downtime and ensure uninterrupted engineering operations. Maintain confidentiality and security of engineering data and company intellectual property. Configure and establish new projects, including project databases, drawing templates, standards, specifications, libraries, ...
... deliver dashboards and insights. Data Quality: Implement data quality checks, validation processes, and monitoring to ensure accuracy and consistency. Maintain compliance with data governance policies across the full data lifecycle. Monitoring and Optimization: Monitor data solutions for performance, reliability, and scalability; ...
... investigate and resolve ingestion failures, data quality alerts, and schema changes from upstream sources. Optimise pipeline performance and cost: right-size compute clusters, implement incremental processing, manage storage lifecycle. Qualifications and experience - 5–8 years of data engineering experience, with at least ...
... enterprise grade data products that power analytics, reporting, and AI across Hershey's business domains. This role ensures data pipelines, models, and foundational components are scalable, performant, governed, and reusable — enabling consistent access to trusted data at enterprise scale. Senior Data Engineers work closely with ...
... models to solve real-world language processing challenges.- Strong proficiency in SQL and Big Data technologies, with the ability to manage and query large-scale databases to support data-intensive applications.- Exceptional communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders ...
... 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 ...
... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested ...
... development of AI and machine learning solutions, including data preparation, model training, fine-tuning, and deployment strategies. Design and implement scalable data pipelines to curate, cleanse, and prepare structured and unstructured data for machine learning and foundation model training. Build and optimize complex agentic ...
Role Overview Application Senior Data (Platform) Engineer Location: Hyderabad | Department: Technology, Data About The Role Are you passionate about building reliable, scalable data platforms that make analytics and AI development easier As a Senior Data Platform Engineer, you will be hands-on in building, operating, and ...
... consistency, and reliabilityof data YOUR PROFILE: - University degree in computer science, Engineering, or a related technical field - 8 – 10+ year experience as a data engineer or in a similar data-intensive role - Proficient knowledge in ETL, Data Lake, and data warehousing - Proficient knowledge/skills: in SQL and relational ...
Job Description :We are seeking an experienced Data Science Manager to lead a team of data scientists and analysts in developing data-driven products, insights, and https://jobeax.com/link/5WM6jVJPxXxkaX5M ideal candidate will have a strong background in applied machine learning, data strategy, and stakeholder management, ...
... understands the financial and technical nuances of cloud computing-specifically how to optimize compute resources and cost within the Google Cloud https://jobeax.com/link/iI6orKaMryo0dJI7 Responsibilities :- Pipeline Architecture : Design and deploy complex, automated data pipelines using GCP Services (BigQuery, Dataflow, ...
... consistency, and integrity across databases. Partner with Product and Engineering teams to identify and implement process improvements and automation tools to enhance data quality and operational efficiency. Diagnose and highlight data pipeline issues, escalating complex problems as needed. Respond promptly to data-related inquiries ...