... pipelines. Develop data set processes for data modeling, mining, and production. Analyze and organize raw data, ensuring it is accessible and usable. Collaborate with data scientists and architects on data initiatives and ensure the data is aligned with business needs. Create and maintain data documentation including data flow diagrams ...
... continuously enhance analytics capabilities. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field. - 3-5 years of experience in data science, preferably in FMCG or e-commerce. - Strong proficiency in Python/R, SQL, and data visualization tools (Power BI, Tableau, etc.). - Experience with machine ...
... teams to integrate predictive models into live production environments, ensuring low-latency performance and high reliability.- Conduct deep-dive exploratory data analysis on large-scale financial datasets to uncover hidden patterns that drive product strategy and business growth.- Partner with stakeholders to define key ...
Position : Senior Databricks Data EngineerEmployment Type : Full TimeLocations : Bangalore / Chennai / Hyderabad- 10+ years of experience in Data Engineering, Data Platforms, and Analytics, with 10+ years of overall consulting experience in enterprise technology environments.- Strong hands-on experience with Databricks, ...
Role Overview:We are looking for a Senior Product Analyst who can sit at the intersection of Product, Data, Technology and Business and drive product decisions through deep customer and behavioural https://jobeax.com/link/Zdt9Zy6QpMOQm9DC role will focus on understanding B2C customer journeys, product behaviour, conversion, ...
Join us as a Business Analyst You'll be working in a vibrant, forward looking team and helping us to shape the future of our business It's a great chance to hit the ground running, take advantage of our development opportunities, and advance your career In your new role, you'll be supporting the analysis of complex cross ...
Research Analyst, KYC Operations This role is within our Group Anti Financial Crime Utility team, specializing in Know Your Client (KYC) and Anti Money Laundering. The KYC Operations function is specialist in, but not limited to, onboarding and customer risk assessments generating MI reports, SLA and critical metric execution, ...
... Experience in Banking, Financial Services, or FinTech domain is preferred. Knowledge of Agile and Waterfall project management methodologies. Familiarity with project management tools such as Jira, Confluence, MS Project, Azure DevOps, or similar platforms. PMP, PgMP, Scrum Master, or equivalent certification is a plus.
... challenges into actionable data science solutions and communicate findings effectively to technical and non-technical audiences.- Mentorship : Guide and mentor junior data scientists and analysts, fostering a culture of technical excellence and continuous learning.- Infrastructure & Deployment : Work with data engineering teams ...
... modeling to develop and evaluate AI solutions using real-world enterprise datasets. What you'll bring - 6 + years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments. - Master's or PhD in Computer Science, Applied Mathematics, ...
Job Description:As part of the Analytics team, the Analytics Azure Data Engineer must possess the following skills:- Experience with Azure data services including Azure Data Lake, Azure Data Factory, Azure Data Pipelines, and Synapse Analytics is mandatory.- Expertise in SQL, Python, Py-Spark or Spark-SQL.- Expertise to ...
... such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Principal Analyst - Global Digital Risk & Data Protection We are looking for a highly motivated Data Protection Specialist with 5–6 years of hands-on experience in cybersecurity, data protection, and security ...
... develop, and maintain scalable data pipelines using Python and Apache Spark.- Implement efficient ETL/ELT processes for large-scale structured and unstructured datasets.- Develop and optimize complex SQL queries, data models, and transformations.- Ensure data quality, integrity, and reliability across the https://jobeax.com/link/KGEJVg5sFMkW48k2 ...
... integrated with dbt transformations.- Orchestrate workflows using dbt Cloud, Matillion DPC, Airflow, or Azure Data Factory with CI/CD integration.- Define and enforce data governance and compliance practices using Snowflake RBAC, secure data sharing, and encryption strategies.- Collaborate with analysts, data scientists, architects, ...
... Jupyter Notebook for exploratory data analysis, pipeline testing, data profiling, and rapid prototyping.Cross-Team Collaboration:- Partner with data analysts, data scientists, and product teams to translate business requirements into reliable data https://jobeax.com/link/slfm2H5M70Q62wJ5 & Performance:- Ensure high data ...
... manage Amazon DynamoDB data models to ensure high performance, scalability, and reliability.- Ensure data quality, integrity, security, and consistency across data pipelines and storage solutions.- Collaborate with application developers, cloud engineers, data architects, and business stakeholders to deliver robust data ...
... follow-up on remediation actions. Required Experience And Skills ~ Bachelor's degree in information security, Cybersecurity, Computer Science, or a related field. A master's degree is preferred. 2 years of experience in information security governance, risk, and compliance. Experience supporting ISO 27001, PCI-DSS, NIST, IT audits, ...
... (L3-L5) in ARIS, following enterprise modelling standards and conventions Translate business requirements into structured process maps and documentation Tool & Data Management Support integration of process data with related platforms (e.g., process mining, risk & controls). Bachelor's degree or equivalent experience in business, ...
... LlamaIndex), vector databases (Pinecone, Weaviate, pgvector), or retrieval-augmented generation (RAG) architecture patterns applied to structured enterprise data. Experience with Snowflake Cortex or similar in-warehouse AI capabilities—including ML functions, semantic search, or Cortex Analyst—and awareness of the tradeoffs ...