) Dentsu international comprises of six leadership brands - Carat, dentsu X, iProspect, Isobar, dentsuMB and Merkle, each supported by its specialist divisions and scaled services.
... work experience. - Experience in building scalable products with preferably big data. - Excellent Python coding skills (Mandatory) - Experience in Apache spark, Data Lake and other Big data technologies. - Experience in either Data Warehouses or Relational Database is mandatory. - Experience in AWS cloud Mandatory Skills : ...
... Skills and Experience - •Experience working as a Data Engineer and/or in cloud modernization - •Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes - •Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization ...
... initiatives. Key Responsibilities: Market Research: Conduct thorough research to identify market trends, competitor activities, and potential opportunities. Data Analysis: Analyze sales, marketing, and financial data to provide insights and recommendations. Client Relations: Maintain and develop strong relationships with ...
... developer tooling framework to ensure data is seamlessly and securely consumed by services across the entire Okta ecosystem. - Collaborate with India-based engineering and development scrum teams to deliver high-performance data pipeline enhancements and architectural improvements. - Distill complex requirements from a diverse ...
... infrastructure and scalable deployments 2+ years of experience in Data Science / Machine Learning / NLP - Proven experience in model training and fine-tuning using custom datasets - Hands-on experience with Hugging Face, PyTorch, or TensorFlow - Vector Databases: Pinecone, Milvus – for embeddings and semantic search in translation or ...
... required for optimal extraction, transformation, and loading of data from various sources using SQL and AWS 'big data' technologies. Create and maintain optimal data pipeline architecture. Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure ...
... 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 ...
... - Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc - Understand business problems and translate them into AI/ML solutions. - Perform data collection, preprocessing, feature engineering, and exploratory data analysis. - Develop supervised and unsupervised machine learning models. - Design and optimize ...
... forefront of developing intelligent solutions that optimize network performance and enhance customer engagement. You will work closely with cross-functional engineering teams, product managers, and data architects to translate complex business requirements into robust machine learning models. Your work will directly influence ...
... statistical modelling, and explainability libraries. Data Platforms & Engineering: Experience working with Snowflake, Snowpark, Spark/PySpark, MLflow, cloud-based data platforms, and scalable analytical environments. Healthcare Data Expertise: Experience working with de-identified patient-level data including claims, specialty ...
Department: Human Resources Designation: Assistant Manager – Distribution Centre Experience: 5–8 Years Reporting To: Head – Distribution Centre Location: Warehouse/Distribution Centre (Kolkata, Gurugram, Bangalore) Job Overview: We are seeking a reliable, process-oriented HR Assistant Manager – Distribution Centre to
... analysis a part of the output) to the client as a part of decision-making. Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization). Client data handling, generally high size of data. Loading, analyzing the data ...
... including: Referred customer quality and lifetime value Develop regular performance reports and dashboards to track program health and identify opportunities. Use data and customer insights to identify high-performing segments, channels, campaigns, and referral sources. Translate performance data into actionable recommendations ...
... all required inputs for required change Manual and automated adjustments to new systems if required Data quality checks and testing Work closely with account directors, program managers Monitor and support new implementation by analysing Splunk, AppDynamics, and Grafana Dashboards Reverse engineering of current PL/SQL modules, ...
... Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to store, manage, and analyze data. Use statistical techniques and software to analyze datasets, ...
... data into actionable insights using cutting-edge AI platforms, automation techniques, and advanced statistical methods. Develop and deploy scalable AI-powered data analytics solutions for business intelligence, forecasting, and optimization. Leverage AI tools to automate data cleansing, feature engineering, model building, ...
... parallelization, monitor failures, and maintain stability against minor site structure changes. Educational qualifications - At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). - Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, ...
... deliver solutions Minimum 3+ years of experience in data engineering or related field Strong programming skills in Python and/or Scala/Java Experience with SQL and database technologies (PostgreSQL, MySQL, MongoDB) Hands-on experience with data processing frameworks: Apache Kafka for streaming data Knowledge of data warehouse ...
... analysis a part of the output) to the client as a part of decision-making. Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization). Client data handling, generally high size of data. Loading, analyzing the data ...