... applications and data solutions using Java, Scala, Spring Boot, Kafka/MQ, and https://jobeax.com/link/ddHevVfGxaZZMFi7 Responsibilities :- Develop and maintain server-side applications using Java, Scala, and Spring Boot.- Design and implement message-driven architectures using Kafka or MQ.- Build scalable and reliable data ...
... Document technical designs and specifications. Research and incorporate updated content for websites. Must have skills : Oracle Procedural Language Extensions to SQL (PLSQL) Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Web Developer, ...
... point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files. In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform ...
... OR Doctorate in Data Science, Mathematics, Statistics, Computer Science, or related field AND 3+ year(s) related experience Expertise in Python , PySpark, and SQL, LLMs Experience in Spark and ability to write/maintain/understand declarative Spark code and to cleanly write and maintain SQL. and experience in Azure Synapse/Databricks ...
... Good understanding of ML algorithms, statistics, and model evaluation techniques- Experience working with APIs, databases, and data pipelines- Familiarity with SQL and data processing- Understanding of cloud platforms such as AWS/Azure/GCP is a plusGood to Have :- Exposure to Generative AI, LLMs, RAG, LangChain, Vector Databases, ...
... external-facing web portals using Power Pages, including page design, forms, lists, and table permissions.- Integrate Power Platform solutions with SharePoint, SQL Server, Azure services, and third-party APIs/connectors.- Implement application lifecycle management (ALM) using solutions, environments, and source control best ...
... automation using Power Apps and Power Automate.- Develop automated approval, workflow, and business process solutions using Microsoft Power Platform.- Work with SQL Server and T-SQL, including stored procedures, views, and data-processing logic.- Develop and maintain scheduled ETL/ELT and data integration pipelines using ...
... Driven Apps and common data service (CDS). - Strong .NET framework and C# development experience including CRM API, REST and SOAP. - Hands on experience in server-side coding, workflows, Java scripts & plugins. - Strong designing skills around HTMS, CSS etc. - Strong experience on SQL Server database, Integration services ...
... Translate business needs to technical specifications and then, Design, build and deploy BI solutions (e.g. reporting tools) Perform deep-dive data analysis using SQL/Python to extract insights from large datasets Manage marketing and sales campaign analytics and provide performance visibility Should have experience in client ...
... new features to improve business processes. - Translate business requirements into technical designs and implement scalable solutions. - Develop and optimize SQL queries in Snowflake for data extraction, transformation, and reporting. - Collaborate with cross-functional teams including business stakeholders, vendors, Veeva ...
... modelling, data architecture and deployment. Requirements: Graduation in BE / B Tech; M.Sc./MTech. Specialization/certification in visualization tools. Proficiency in SQL, Python, PowerBI/Tableau, Google Analytics. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud and associated microservices. Should have worked ...
... Implementing data validation and quality checks Supporting cloud-based data infrastructure We believe in learning by doing. You'll gain hands-on experience with Python, SQL, PostgreSQL, MySQL, data warehouses, ETL tools, Git, Docker, and cloud platforms such as AWS, Azure, or Google Cloud. Requirements - Bachelor's degree in Computer ...
Position: Executive / Sr. Executive – Pre-Sales (Revenue Operations) Department Customer Service – Revenue Operations Reporting To Head of Customer Service About the Role We are looking for a proactive and customer-focused Pre-Sales Executive to become the first commercial touchpoint for enterprise customers. The role is ...
... directors, program managers Monitor and support new implementation by analysing Splunk, AppDynamics, and Grafana Dashboards Reverse engineering of current PL/SQL modules, Manage complex SQL queries Automate current workload for a better throughput Required skills and qualifications: - Excellent written and verbal communication ...
... new features to improve business processes. - Translate business requirements into technical designs and implement scalable solutions. - Develop and optimize SQL queries in Snowflake for data extraction, transformation, and reporting. - Collaborate with cross-functional teams including business stakeholders, vendors, Veeva ...
We are looking for a meticulous and analytical Data Analyst with strong SQL skills and cloud experience to join our team. The ideal candidate will have a solid background in data analysis, statistical techniques, with specific expertise in using SQL to manage and analyze large datasets in cloud environments. You will be ...
... a related field. Proficiency in Python and/or R with strong hands-on experience in ML libraries (scikit-learn, XGBoost, TensorFlow, etc.). Expert knowledge of SQL and working with relational databases. Proven experience with data wrangling, data pipelines, and ETL processes. Deep Understanding of AI Tools for Data Analytics ...
... modelling, data architecture and deployment. Requirements: Graduation in BE / B Tech; M.Sc./MTech. Specialization/certification in visualization tools. Proficiency in SQL, Python, PowerBI/Tableau, Google Analytics. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud and associated microservices. Should have worked ...
... (spatial autocorrelation / Moran's I), and catchment/trade-area analysis.- Python geospatial stack: Hands-on with GeoPandas, Shapely, Rasterio, GDAL/OGR, and spatial SQL via PostGIS (or BigQuery GIS). Comfortable manipulating vector and raster data at scale.- Machine learning for tabular/spatial problems: Solid grounding in regression ...