... leading travelers to their destinations since time began, our values guide us. They help us be at our best. For the cities and communities we serve. As a Lead Data Engineer at Arrive, you are a technical cornerstone of our new Bengaluru data hub and a founding member of the team. You don't just build models - you architect ...
... Measurement Team that specializes in the ingestion, transformation, and storage of large-scale social and broadcast data. Working under the guidance of an experienced Data Engineers and Architects, you will gain hands-on experience designing and maintaining scalable, efficient data pipelines that support enterprise web applications, ...
... opportunities, and business insights. Create dashboards, visualizations, and reports that communicate insights effectively to technical and non-technical stakeholders. Data Engineering & Solution Delivery Collaborate with data engineering teams to establish scalable data pipelines and AI-ready data platforms. Ensure data quality, ...
... comprehensive benefits package includes health insurance, wellness programs, learning & development opportunities, and more. Job Title: Data Scientist 2 Understand data landscape Perform ad-hoc analysis and present results in a clear manner Work on the full lifecycle of machine learning development including sourcing, dataset ...
Role Purpose This role is responsible for driving enterprise-wide data engineering strategy. It ensures the design, implementation, and continuous improvement of data pipelines, scalable and reusable frameworks, and implement data governance and data quality engines. The position enables trusted, governed data across systems, ...
... least one certification • Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional Additional Certifications (Preferred) - Databricks Certified Associate Developer for Apache Spark - Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud ...
... distributed architectures, and modern data engineering https://jobeax.com/link/TtkK7BHPbancvnFq Responsibilities:- Design, develop, and maintain scalable ETL/ELT data pipelines.- Build and manage distributed and event-driven architectures for large-scale data processing.- Develop backend services and data infrastructure using ...
... All 5 days Role Overview We're seeking a Senior Data Engineer with strong hands-on expertise in Python, PySpark, and AWS to design, build, and operate scalable data pipelines for analytics and operational workloads. You will own end-to-end data engineering — from ingestion to delivery — across batch and near-real-time patterns, ...
Position: Data Scientist Experience: 3 – 4 Years We are looking for a Data Scientist to help us see those patterns earlier: which investors need a nudge, which portfolios are drifting off-plan, and which programs are actually moving the needle. Investment and portfolio analytics- build models that surface portfolio drift, ...
... forecasting, and decision support. Skills You Can Develop: During the internship, you can gain practical exposure to: Data Analytics | Business Intelligence | Data Cleaning | Exploratory Data Analysis | Data Visualization | Dashboard Development | Business Analytics | Statistical Analysis | Data Interpretation | Reporting ...
... building LLM/GenAI applications — prompt engineering, RAG, fine-tuning, embeddings, vector databases, and evaluation - Solid grounding in the full ML lifecycle: data validation, feature engineering, model design, experimentation, deployment, and monitoring - Experience with structured and unstructured data, including text, ...
... healthcare enterprise applications . In this role, you will combine strong people leadership with deep technical expertise to guide the development of scalable, data-intensive solutions that drive meaningful business impact. As a leader who is still technically involved , you will mentor and manage data scientists and analysts ...
... experience designing and building applications using classical ML models and Large Language Models (LLMs). - Expert-level proficiency in Python, SQL and its data science libraries (e.g., Proven track record of leading complex, end-to-end data science projects that have delivered significant business impact. Experience ...
... transformations, and performance tuning. - Good experience with Python for data processing, automation, and Lambda development. - Strong understanding of data warehousing, data modeling, ETL/ELT, and data lake concepts. - Experience building and supporting production data pipelines. - Experience troubleshooting data and pipeline performance ...
... Collaborate with the Data Architect to understand data platform requirements and design specifications. Assist with data modelling and optimization tasks. Document the data platform architecture, processes, and best practices. Stay up to date with the latest trends and technologies in full stack development, data engineering, and ...
... machine learning models. You'll play a foundational role in building systems that evaluate borrower creditworthiness, mitigate operational loss, and intercept real-time fraud vectors. This is a business-critical position reporting directly to Risk and Data Science Leadership, collaborating closely with Engineering, Product, Collections, ...
... leadership responsibilities with hands‑on technical contributions to ensure timely, high‑quality delivery. 7+ years of overall professional experience delivering data-driven AI/ML-focused solutions. 3+ years of direct team management experience, leading Data Scientists, ML Engineers, or similar technical roles. - Hands-on experience ...
... reporting, and metadata coverage.- Collaborate across business, IT, legal, and compliance teams for role https://jobeax.com/link/D9UR6EbHufGvIjFa Candidate :- Strong Data Governance Lead Profile with deep Microsoft Purview and enterprise governance expertise.- 7+ years of experience in data governance and data management with at ...
... large-scale data pipelines and analytical infrastructure that transform high-volume raw data into reliable, query-ready datasets for analytics, reporting, and data-driven https://jobeax.com/link/HouIpt6AtbK1KWOU data platform ingests and processes data from multiple sources and serves analytics, data science, product, and ...