... 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 ...
... share of what we build is AI-assisted, and some of it is AI-generated. Claude Code, MCP servers, and LLM tooling are part of the daily toolchain across BI, internal tooling, and data pre-processing. Everything lives in Git, ships through GitLab CI/CD, and gets reviewed. Generated SQL still has to survive an execution plan. ...
... 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 ...
... 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 ...
... systems for ensuring data accuracy and compliance. Adept at collaborating with cross-functional teams and delivering solutions that align with business objectiv Data Analysis/Business Data Analyst/Technical Business Analyst Data Enginee ring (Data Governance(Collibra), Data Profiling, Data Modelling, Data Visualization) Data ...
About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
... PostgreSQL, MySQL, data warehouses, ETL tools, Git, Docker, and cloud platforms such as AWS, Azure, or Google Cloud. Requirements - Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field - 0-2 years of experience in data engineering or a relevant internship - Strong SQL skills - Basic ...
... quantitative analysis. - Develop predictive and trend-based analytical models to improve planning and execution. B.E / B. Tech Mechanical / Electrical /Computer Science/Information Technology/Data Science Engineering . - 0 to 1 years of experience working in Experience in power, energy or infrastructure projects preferred - ...
Location : [Remote / Hybrid — Kolkata, Hyderabad, Bangalore] Type : Full-time We're looking for a Senior Data Engineer to design, build, and operate the data platform that powers our analytics and reporting. You'll own data pipelines and models end to end — from source ingestion through a Lakehouse medallion architecture ...
... with backend automation frameworks. - Testing data pipeline or ELT platforms, with hands-on exposure to Change Data Capture (CDC) mechanisms, connector-based data ingestion, and validating data accuracy and consistency across source and destination systems at scale. - Deep understanding of database internals - Demonstrated ...
... architecture, operational runbooks, troubleshooting procedures, and support processes. Knowledge & Experience Degree or equivalent qualification in Computer Science, Engineering, Business Administration, or a related discipline. 4–9 years of professional experience in NoSQL database engineering, with substantial hands-on ...
Job Title: Oracle Database Administrator Department: Managed services Position Type: Full Time Location: Remote ALIANDO, is an award-winning Azure Expert Managed Service solutions company focused on selling and deploying Microsoft technologies for U.S. and international companies. For over 20 years, Microsoft and its partners ...
... especially in post-trade clearing and settlement Experience with any data profiling/data discovery/data quality tool Education/Certification: Bachelor's degree in an appropriate area of specialization (Computer Science or Information Systems) Data management and data architecture related certifications (i.e. TOGAF) is a plus
... test, deploy and iterate on data science solutions - Provide feedback to improve the quality of data collection to ensure adequacy, accuracy and legitimacy of data (e.g. this could involve cross-checking of different sources and validating the correlation between them) Ability to process complex data sets Ability to perform ...
... warehouse, or enterprise data platform initiatives Enterprise data modeling - Financial domain knowledge - Data quality and governance alignment - Business-to-data translation - Financial data structures - Fund / LP / GP data models - SQL / NoSQL schema design Bachelor’s degree in Computer Science, Information Systems, Data ...
... 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 ...
... computer science, information systems, or related field - Minimum 4 years of experience as a database administrator or a similar role - Proficient in SQL and database management systems (DBMS) Oracle, and SQL Server- Familiar with database design, development, and administration tools and techniques- Knowledge of database ...
... consumer behavior and the influencers that drive it. As a Data Classification Associate, you will perform various duties related to data entry. Enter required data in accordance with detailed data entry guidelines and project- specific requirements. This key function requires learning and adhering to: General data entry ...
... 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 ...