... data analytics tasks. Location: Remote, India Internship Type: Full Time Travel Requirement: No travel required Relocation: Not required Practical experience working with real-world datasets. Experience in data cleaning, preprocessing, and exploratory data analysis. Hands-on exposure to SQL, Excel, Python, and data analytics ...
... Intelligence Platform team, you will: Build out performant APIs to serve consistent data that serve as sources of truth for many systems in Abnormal. Establish data pipelines that ensure our data is updated regularly and reliably Enhance our frameworks to allow us to make changes to our APIs and datasets in an agile manner ...
... way. Enterprise Data & AI Mission Enterprise Data & AI provides the data and systems to enable our enterprise transformation from human-powered operations to data-driven, AI-powered, and human-led agentic operations. This data and systems infrastructure includes autonomous AI agents handling routine or repeatable work and ...
... Python‑based inference and orchestration workloads Build serverless AI workflows using AWS Lambda, API Gateway, and event‑driven architectures Implement secure cloud networking and access controls using VPC, IAM, private endpoints, and service networking Integrate data services (S3, DynamoDB, messaging/streaming) to support AI pipelines ...
... knowledge/skills: in SQL and relational databases preferably SQL Server, SSIS, SSAS (OLAP Cubes), ADF, - Good programming skills in languages such as R, Python, Scala, Databricks (including spark, delta tables, unity catalog) - Knowledge in data governance, security, architecture - Experience with CI/CD workflows preferably azure ...
... healthy, current, and trusted. Making that happen takes a core data engineer who owns the operational reliability of our platform end-to-end. This is a core data engineering role. You own the operational health of our data platform, and you keep making it better. Your working hours - 5am-2pm CEST - put you in a timezone ...
... questions when needed. - Professional written and verbal communication skills. - Ability to handle confidential or sensitive information appropriately. - Experience working with Salesforce CRM a plus - Prior experience in data entry, operations support, order processing, procurement support, sales support, or administrative support. ...
... supporting the innovative clients and communities they serve. Our client works diligently to encourage all with different ways of thinking, different ways of working, and especially those traditionally underrepresented in technology and financial services. Experienced Senior EDW Data Analyst with a strong foundation in ...
... building modular and scalable data transformations using Data Build Tool (dbt).- Advanced capability in writing complex SQL and Python scripts to manipulate large datasets and automate data processing tasks.- Proven experience in managing workflow orchestration and task scheduling using Apache Airflow.- Strong analytical mindset ...
... needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible ...
... account management capabilities, such as pipeline follow-up, upselling, and cross-functional collaboration. Comfort with technology platforms, including basic data entry, troubleshooting, and user training. Prior experience in SaaS, residential communities, or security solutions is an advantage. Ability to work in a hybrid ...
... experience. Exposure to healthcare / pharmacy / pricing data domains. You ship reliable data products that pass review on the first or second pass and need little rework. The pipelines you own are observable, well-tested, and rarely page anyone at night. Microsoft Fabric (Lakehouse, OneLake, Notebooks, Data Pipelines) · PySpark ...
... at DTCC will consult with information technology, data analytics, business/ product creation and development staff to design and implement the blueprint of a database to store information for a specific system that will support the work of the enterprise. The DM will develop a detailed knowledge of the underlying data as ...
... experience in schema design for both SQL and NoSQL databases - Deep understanding of conceptual, logical, and physical data modeling techniques - Experience working with structured, semi-structured, and metadata-driven datasets - Knowledge of data quality, data governance, and metadata management principles - Experience ...
... Database backup and recovery. Database performance tuning and optimization. High availability and disaster recovery. Database security and access management. Database monitoring and capacity management. Database patching and upgrades. Data migration and database maintenance. Infrastructure Enterprise IT Knowledge Working ...
... sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence. Overview of the role In Data Science we work with the data from fast changing consumer goods world. Data comes both from standardized databases and from online retail channels in various ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...