... Support data governance, cataloguing, lineage, and metadata management practices where required. Work with Linux/Unix environments and efficiently process large datasets. WHAT MAKES YOU A GREAT FIT - 3+ years of professional experience in Data Engineering, Big Data, Analytics Engineering, or a related field. - Strong hands-on ...
... more than 40 spending categories, including housing, healthcare, financial savings, apparel, food, FMCG, and entertainment. Its real-time, continuously evolving big data capabilities make https://jobeax.com/link/0M6RquxLeVqeVm8v a preferred BI and analytics partner for organizations seeking future-ready and high-impact business ...
... sophisticated analyses into persuasive business recommendations for technical and non-technical audiences. Familiarity with education technology platforms, LMS data, and digital learning analytics is highly a plus. Projects using GenAI tools is a big plus. Passionate about leveraging data to democratize education and elevate ...
... people, with the ability to build candidate networks and channel connections. - A drive for results—you see processes through end to end and are motivated by data and metrics. - Humility: no task is too big or too small. - Excellent organizational skills and strong attention to detail. - Hands-on experience with Workday ...
... efficient scripts using PySpark for large-scale data processing. Familiarity with CI/CD for data pipelines and DevOps practices. Strong problem-solving skills and ability to work in an agile environment. Knowledge of data governance, security, and compliance in Azure. Exposure to big data frameworks and streaming technologies.
... operations of at least one industry sector Ability to perform and interpret process gap analysis Ability to identify risks in business processes Possess strong data analytics skills and knowledge of advanced data analytical tools will be an advantage Understanding of IT systems, Knowledge of MS office ( MS Excel, PowerPoint, ...
... 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 ...
Role Overview : We are seeking a seasoned Data Engineering professional to spearhead our data architecture initiatives and drive the evolution of our analytical ecosystem. In this role, you will be responsible for designing robust data models and optimizing our Snowflake-based data warehousing environment to support complex ...
... production-ready Tableau dashboards. ~ Data Querying (Mandatory): Expert-level command of SQL for data extraction and manipulation. - Proven experience working with data in the Fintech, Banking, or Financial Services sectors. - Soft Skills: Proven ability to engage with non-technical business leaders to understand their data needs ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... hands-on professional experience Education: BE/B.Tech/ME/M.Tech/MCA/MSc IT Primary Skills (must have): Strong Azure or AWS knowledge Strong working knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical and problem-solving ...
... batch jobs, database replication & Kafka- Set up and maintain monitoring/observability for data pipelines- Support ML pipelines, Airflow workflows and production data science infrastructureIDEAL PROFILE:Looking for candidates with strong hands-on experience in:- Data Operations- Production Data Engineering- Data Platform Support- ...
... (Extract, Transform, Load) scripts to move data across various systems. Database Management: Write basic SQL queries, create tables, and interact with PostgreSQL databases to support data storage and retrieval. Data Orchestration: Help schedule, monitor, and troubleshoot automated data workflows using Apache Airflow. Stream ...
... features and data contracts. Build and ship models to: Enhance customer experiences and personalization Boost revenue via pricing/discount optimization Detect and block fraud/risk in real time Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS. Build monitoring for model/data drift and business KPIs
BarodaSun Technologies Limited BSTL is hiring a Database Architect on a contractual basis for its Mumbai office . Were seeking a professional with in-depth experience in enterprise database administration and architecture, capable of managing mission-critical database systems and ensuring performance, availability, and ...
... software to any tasks or parts of the system which are performed manually.- Able to troubleshoot complicated, cross-platform issues handling OS, Networking, Database in a cloud-based SaaS environment and handle live production incidents.- Monitor application performance, take steps to improve overall application performance ...
Quantiphi is an award winning Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies ...
... execution. Lead the development and enhancement of data-heavy modules across ad serving, analytics, and reporting systems. Design, optimize, and maintain scalable data pipelines using a mix of SQL , NoSQL and Big Data tools. Work with streaming platforms like Apache Kafka and Flink for real-time data processing. Ensure data ...
... expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) - Experience with real-time data processing, anomaly detection, and time-series forecasting in production - Experience working with large datasets and big data technologies like Spark and Kafka ...
... data integration techniques.- Proficiency in programming languages such as Python, SQL and Web Scrapping.- Understanding of databases like No Sql , relational database, In Memory database and technologies like MongoDB, Redis, Apache Spark would be add on..- Knowledge of distributed computing frameworks and big data technologies ...