We are seeking a highly skilled Data Scientist to join our E-commerce FMCG team. This role is pivotal in leveraging data-driven insights to optimize supply chain, customer experience, and commercial performance. The Data Scientist will work closely with cross-functional teams to design predictive models, analyze consumer ...
... 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 ...
... scheduled workflows, and reporting pipelines.- Support and enhance data APIs for internal analytics consumption.- Ensure data quality, consistency, and low-latency data availability across systems.- Work on new initiatives within the data platform, including building and integrating new data pipelines, features, and use cases.- ...
... activities across the data https://jobeax.com/link/GmpRkycDUBUNhxr2 Responsibilities : - Define data quality rules and controls- Conduct profiling and reconciliation- Develop DQ dashboards and scorecards- Monitor data quality KPIsSkills : - SQL- Data Profiling- Data Governance- Power BI- Data Quality Tools (ref:hirist.tech)
... leadership and expertise in designing and building high-volume, production-grade data platforms. The ideal candidate will have extensive experience with modern cloud data technologies, data lakes, data warehouses, ETL/ELT pipelines, real-time data processing, and data architecture. The role requires someone who can combine strong ...
... BI reports, dashboards, and user access. Extract and share data from SAP (e.g., sales reports, customer details) in Excel format. Prepare and validate Excel data for incentive calculations and other business requirements. Ensure data accuracy and consistency across reports. Support ongoing data-driven initiatives and process ...
... experience in data engineering principles, data integration, transformation, and cloud-based data platforms, with the ability to build reliable and high-performing data solutions. You will work closely with data analysts, data scientists, software engineers, and business stakeholders to develop data pipelines, optimize data workflows, ...
... concepts to non-technical stakeholders. - Proficiency in data analysis tools and programming languages such as Python, R, SQL, and Amazon Athena - Experience with data visualization tools (e. g., Tableau, Power BI). - Knowledge of data warehousing concepts and experience working with large datasets. - Deploying analytical solutions ...
... ongoing optimization.- Strategic Leadership : Define the data science roadmap, align initiatives with business priorities, and influence senior leadership through data-driven insights.- Team & Culture Building : Lead, grow, and inspire a high-performing team of data scientists, fostering innovation, collaboration, and continuous ...
... Install, configure, and update database software and tools - Monitor and optimize database performance and capacity - Perform backup and recovery operations- Ensure database security and compliance with policies and standards - Diagnose and resolve database issues and errors - Support database development and testing activities ...
... data reports, dashboards, and visualizations to support strategic insights. Reporting Environment Management: Design and maintain reporting systems including data sources, metadata, and security. Data Warehouse Support: Identify, revise, and implement reporting requirements to enhance data warehouse efficiency. Data Integrity ...
... data quality analysis, data management, or a related field.- 2+ years of experience with SQL and database technologies, with the ability to query and analyse data sets.- Prior knowledge of data governance programmes and/or data quality improvement programmes is essential.- Prior knowledge of Data Observability / Data Quality ...
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 ...
... want to work on production systems, not pilots. As a Data Engineer with an AI Analytics specialization, you will own the design and delivery of AI-augmented data pipelines and analytical systems within the CIA with Data and Analytics organization. You will build the data infrastructure that feeds machine learning models ...
... 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 ...
HIRING | DATA SCIENTIST We are hiring an experienced Data Scientist for TrueiD Private Limited . Location: Hyderabad Experience: 7–12 Years CTC: ₹42–45 LPA Industry: IT Notice Period: Immediate to 15 Days Employment Type: Full-Time Key Responsibilities - Design, develop and deploy advanced Machine Learning and Data Science ...
... 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 ...
... clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity ...
... and data profiling findings to both technical and leadership https://jobeax.com/link/qD1PXku8V3HtzrrZ :- Experience: 5+ years in data engineering, with deep data warehousing exposure at scale.- SQL and BigQuery: Expert-level SQL; hands-on BigQuery optimization (partitioning, clustering, slots, cost).- Data Modelling: Programming: ...