... and efficient data integration.- Develop and optimize database objects, including stored procedures, functions, views, and triggers, to ensure performance and data integrity.- Manage data ingestion, transformation, quality, governance, security, and compliance across multiple data sources.- Lead data engineering initiatives, ...
... analytical Data Analyst with a strong accounting and finance background to join our team. The ideal candidate will have a minimum of 3 years of proven experience in data analysis, financial reporting, dashboard development, and business intelligence solutions. This role requires expertise in Power BI, data visualization, financial ...
... clients. 1. Input and update data in MS-Excel spreadsheets with precision and attention to detail. 2. Verify and correct any discrepancies in data to maintain data integrity. 3. Collaborate with team members to ensure timely completion of data entry tasks. 4. Create and maintain accurate records of all data entry activities. ...
... and maintain high-throughput, low latency systems that process 100s of millions of events per day to enable detection to identify notable events. - Establish data pipelines that ensure our data is updated regularly and reliably - Enhance our frameworks to allow us to make changes to our APIs and datasets in an agile manner ...
... Have :- SAP Business Data Cloud data products / BTP administration.- SAP Databricks / Databricks (PySpark, Delta Lake, Unity Catalog).- Git-based workflows, CI/CD for data artefacts (abapGit, gCTS).- Microsoft Fabric / Power BI exposure.- SAP certification (Datasphere, HANA Cloud Modeling, or BW/4HANA). (ref:hirist.tech)
... https://jobeax.com/link/hs6VQjYW4dlN5SYR Skillset:- Demonstrate proficiency in writing complex SQL queries to extract and transform data from relational databases.- Utilize Python for data manipulation, cleaning, and automating repetitive analytical tasks.- Exhibit advanced expertise in Excel for financial modeling, data validation, and ad-hoc reporting.- ...
... Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and ...
... Python LLM / NLP EDA (Exploratory Data Analysis) Cloud Platforms (AWS, Azure, GCP) Explainable AI At least 4+ years of relevant experience and track record in Data Science: Machine Learning, Deep Learning and Statistical Data Analysis. MSc or PhD degree in CS or Mathematics, Bioinformatics, Statistics, Engineering, Physics ...
... frameworks and data validation processes. Collaborate with IT, Product, and Analytics teams to align data quality initiatives. Develop, monitor and maintain data processes in AWS environments. Assist in automating data workflows and troubleshooting cloud-based data issues Bachelor's degree in computer science, data science, ...
... data preprocessing, feature engineering, and model evaluation. Familiarity with cloud platforms (AWS, Azure, GCP) for scalable AI solutions. Experience with data visualization tools and techniques. Knowledge of databases and data management. Experience & Qualifications Experience Range: 8+ years in IT, data science, AI/ML, ...
... skills; Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies, including data modeling and database design to support scalable data solutions. Strong knowledge of writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently. Experience ...
... global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: Senior Data Analyst Experience: 5+ Years Skill Set: Data Analysis, SQL and Cloud (AWS, Azure, GCP) Bachelors degree in Computer Science, MIS, or related fields. - 6-7 years ...
... develop, and maintain batch and real-time ETL/ELT pipelines on GCP Build and optimize data pipelines using Python Implement streaming solutions using Pub/Sub and Dataflow Develop and manage batch workflows using Cloud Composer Design and optimize data models and queries in BigQuery Work with large-scale, low-latency data stores ...
... other business intelligence tools and data technologies across Unix, mainframe, or Windows platforms. - Knowledge of cloud computing on Google Cloud Platform, data modelling, Adobe Analytics, and exposure to data quality assessment and control, including delivery on data and information management projects of varying complexity. ...
... Collaborate with Smart Manufacturing Strategy Leads to align data science efforts with business goals across Micron sites. Provide mentorship and coaching to data scientists and engineers to nurture their technical skills. Perform exploratory data analysis and feature engineering on structured and unstructured data. Fluency ...
... key responsibilities: - Providing Application Database and Replication support for a large DB2 z/OS sysplex environment - Providing Application Database and Data Migration support for an established cloud-based database infrastructure - SQL tuning and Performance on both Db2 and PostgreSQL - Maintenance of Databases – ...
... AI, AI safety, data privacy, and data security best practices. Experience with vector databases, embeddings, prompt engineering, and LLM evaluation frameworks. Data Science Leadership Machine Learning Generative AI & LLMs Natural Language Processing (NLP) MLOps & Model Deployment AI Strategy & Innovation Data-Driven Decision ...
...Our product range includes submersible pumps, motors, monoblock pumps, and other water-pumping solutions designed for residential, agricultural, and commercial applications. We believe in building long-term relationships with our dealers, customers, and employees. Our organization...
Skillset Requirements : - Experience : 5 to 10 years in data science- Programming : Minimum 5 years in Python- Machine Learning/NLP : At least 4 years- LLM & GenAI : Minimum 1.5 years with large language models and generative AI- Database Management : At least 2 years with any database- Cloud Deployment : 1+ years deploying ...