2,012 data matrix jobs in India.

... consistently. You will also partner with the different teams to identify, pilot, and operationalize AI- and automation-driven tools that reduce manual work, improve data quality, and scale our workflows, while training your team to adopt these tools safely and effectively. A Day in the Life of a Provider Data Operations Team Lead: ...

... competitive advantage. Band: M3/M4 (6 to 14 years) Should have experience in PySpark and Scala + Spark for 4+ years (Min experience). Proficient in debugging and data analysis skills. Should have Spark experience of 4+ years Should have understanding of SDLC and Big Data Application Life Cycle Should have experience in GIT ...

... 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, @nttdatafed.com and @talent.nttdataservices.com email addresses. ...

... hands-on sessions on database concepts such as relational models, SQL, NoSQL, normalization, and database design. Teach advanced topics like query optimization, database security, data warehousing, and cloud databases. Build real-world capstone projects that combine data visualization with AI/ML applications. Stay up to date ...

... in Python and related data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.). - Experience with Firebase, REST APIs, and cloud-based data integration. - Advanced skills in data visualization and BI tools (Looker Studio, Tableau, or Power BI). - Solid understanding of data architecture, data modeling, ...

... 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, @nttdatafed.com and @talent.nttdataservices.com email addresses. ...

... experience applying AI/ML to moderation, fraud/risk detection, anomaly detection, or similar domains - Strong proficiency in SQL and Python, with experience in data for real-time and streaming data - Experience building executive-ready dashboards and BI reporting for large-scale programs - Solid understanding of marketplace ...

... strong regulatory knowledge, analytical skills, attention to detail, and the ability to manage multiple priorities while working effectively within a global matrix environment. This role is based in Bangalore, India with a requirement to be on-site 3 days per week. Prepare, compile, review, and maintain regulatory submissions, ...

... internal audit and other risk advisory engagements such as SOX/ IFC/ ICFR, risk management (ERM/ ORM), process reviews / standard operating procedures (SOP), data analytics and other governance, risk & compliance (GRC) engagements for large global and Indian clients. The current role requires executing internal audit and ...

... Experience working in multicultural environments. - Proven ability to liaise with stakeholders across various hierarchical levels. - Technical expertise in: Database and SQL, including SQL scripting. - Data Warehouse (DWH) and Business Intelligence (BI) architecture. - Database front-end, reporting tools, ETL tools, and ...

QI stack (DeepSpeci, CaseGeni, Auto-PlayPilot, DataGeni, Secure-Xi, Perf-Xi, Insights360, RIA and Accessibility Intelligence) and the four-pillar https://jobeax.com/link/54bq7FoNxFyAxGbI framework (Data Quality, Model Evaluation, Trustworthiness, and Scalability & Security). Design and refine the archetype-specific assurance ...

... Lemlist, or similar - Strong understanding of B2B database sourcing, list building, and segmentation - Familiarity with CAN-SPAM, GDPR, and email compliance best practices - Ability to manage large contact databases (100K+ contacts) - Data-driven mindset with experience optimizing campaigns based on performance analytics

Project Role : Infrastructure Engineer Project Role Description : Assist in defining requirements, designing and building data center technology components and testing efforts. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Security Services Minimum 5 Year(s) Of Experience Is Required ...

Job Description : We are seeking a Senior Data Engineer to design, build, and maintain enterprise-grade Data Warehouses and Lakehouses on AWS. You will be responsible for architecting scalable batch and real-time streaming data pipelines, optimizing big data processing workloads, and ensuring high data reliability across ...

... and NodeJS Exp with JavaScript KEY RESPONSIBILITIES - Manage and execute on backlog of Data Quality work within core data governance tool (ObservePoint). - Own Data Quality tool (ObservePoint), employing historical use and domain knowledge to improve and drive efficiency. - Review and respond to identified data issues on ...

... experience in building robust ETL/ELT pipelines and modern data https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities : - Design, develop, and maintain scalable data pipelines using Apache Airflow.- Develop and optimize data transformation models using dbt (Data Build Tool).- Build and manage data solutions on Snowflake.- ...

... technical teams. - Technical Skills: - Expertise in data modeling, data warehousing, and database design (both relational and NoSQL). - Strong proficiency in data engineering, including experience with ETL tools, data integration frameworks, and big data technologies. - Hands-on experience with cloud data platforms (e.g., ...

... The Database Administration team at Envestnet is responsible for ensuring the reliability, performance, security, and operational readiness of the production databases that power our Wealth platforms. As a Junior DBA (Jr DBA), you'll join a collaborative, cross-functional group that monitors database health, responds to ...

... business logic, and data transformations across large-scale systems. - Proficiency in Python and SQL, including working with terabyte-scale datasets to identify data anomalies and logic issues. - Strong understanding of data quality automation frameworks, CI/CD pipelines, and tools like Airflow, Spark, Databricks, or Snowflake. ...

... experience applying advanced statistical methods to large, complex datasets. Proficiency in PySpark, Python, R, and SQL is essential, along with familiarity in data visualization tools such as PowerBI, MicroStrategy, Tableau, QlikView, or D3.js. Experience working on platforms like Databricks and with IQVIA datasets is highly ...