... agenda Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities. Responsibilities As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning ...
... agenda Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities. Responsibilities As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning ...
... center based in India with a team of more than 100 members. We provide complete web development and digital marketing solutions to B2B and B2C. IT Business Analyst Fresher (Internship) - Selected Intern's Day-to-day Responsibilities Include Define business requirements and propose solutions for the mobile/web application ...
... OpenTelemetry**: Deep understanding of metrics, traces, logs formats and semantic conventions - **Database Knowledge**: PostgreSQL optimization for telemetry data - **Data Visualization**: Statistical analysis, correlation detection, anomaly identification through visual patterns - **Programming**: Python/Go for data pipeline ...
Skill required: Supply Chain - Supply Chain Execution Designation: Business Advisory Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and https://jobeax.com/link/s3Tm4mZwkevmZ2jR unmatched ...
Experience: 10+ Years CTC: Up to 8.4 LPA Location: Delhi (CP) Job Summary We are looking for an experienced Business Analyst with 10+ years of experience in business analysis, process improvement, requirement gathering, and stakeholder management. The ideal candidate should be analytical, business-oriented, and capable ...
About the Role : We are looking for a Business Analyst with strong experience in UAT and financial reporting to lead business testing for financial reporting projects and system changes. The role will involve working closely with Finance, Reporting, Data, Change, and Technology teams to ensure solutions meet business requirements, ...
... you an all-around data enthusiast with a knack for ETL We're hiring Data Engineers to help build and optimize the foundational architecture of our product's data. We've built a strong data engineering team to date, but have a lot of work ahead of us, Migrating from relational databases to a streaming and big data architecture, ...
Data Engineering at Blackbaud is responsible for ingestion, transformation and processing of data that powers Blackbaud Data Intelligence and Advanced analytics products. The data managed by the team supports data science, data enrichment, research and data analysis as well as making data operationally able to be consumed ...
... AI-assisted tools to accelerate development — generating boilerplate code, drafting SQL/dbt models, writing documentation, debugging pipeline failures, and summarising data quality issues Partner with data quality, governance, and analytics teams to ensure data is well-modelled, well-documented, and trustworthy Optimise Snowflake ...
... leading the system design and implementation of technical solutions. Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems. You have a deep understanding of data modeling and experience with modern data engineering ...
Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. The below role is for our ...
... LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering ...
... performant Use AI tooling within DE workflows, including code generation, pipeline automation, and data quality checks Contribute to and help shape company-wide data governance standards Collaborate with analytics, BI, and business teams to deliver trusted, well-modeled data 5–7 years of hands-on data engineering experience ...
... security, and scalability while enabling faster and more reliable software delivery. Key Responsibilities: - Hands on experience working on Databricks, creating data pipelines, transformation rules using Unity Catalog, PySpark, SparkSQL - Hands on Databricks Devs – Deployments, CICD, Performance Management - Hands on Databricks ...
... data ecosystems. Lead the design, architecture, and delivery of large-scale data engineering solutions across cloud and hybrid environments. Drive end-to-end data platform implementations encompassing data ingestion, transformation, storage, processing, governance, and consumption. Architect batch and real-time data pipelines ...
... 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 ...
... for a data professional to join our Data Engineering team. Independently execute data engineering projects Undertake processing of structured and unstructured data Development of data processing codes for automation & building scalable solutions Develop and maintain data solutions for clients / projects Communicate and interact ...
... Data Engineer to drive our mission to unlock potential of data 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 ...
... maintain scalable data pipelines and data lake solutions on GCP. Build and automate data ingestion and transformation workflows using Airflow and BigQuery. Ensure data quality, performance, and security across all cloud environments. Collaborate with cross-functional teams to translate business needs into efficient data models. ...