... accommodations, book experiences, reserve tables at delicious restaurants and discover great places nearby. As a travel guidance company available in 43 markets and 22 languages, This client makes planning easy no matter the trip type. Utilize SQL and other data analysis tools to extract insights from large datasets and provide ...
... Airflow, SQL, Docker, Kubernetes, and other Data engineering tools. These technologies are deployed using DevOps pipelines leveraging Azure, Kubernetes, Jenkins and Bitbucket/GIT Hub. Develop, test, troubleshoot, debug, and make application enhancements leveraging, Spark , Pyspark, Scala, Pandas, Databricks, Airflow, SQL ...
... Database Administrator (DBA) Experience: 6+ years Location: Remote (Hyderabad/Bengaluru/Chennai) Contract Duration: 3-4 months with possible extensions It is not a SQL/Query-level performance tuning or indexing role. Experience managing workloads on Teradata Vantage (On-Premises, AWS, Azure, or Google Cloud Platform). - Familiarity ...
... & Experience:- Strong hands-on experience with Alteryx Designer and workflow development.- Strong understanding of data extraction, transformation, cleansing, and workflow automation.- Strong SQL skills and knowledge of relational databases.- Hands-on experience with Tableau Desktop and Tableau Server.- Good understanding ...
... experience in software development with a strong focus on .net core, C#, mssql , react, LLMs, ES - Strong understanding of RESTful APIs, microservices architecture, and cloud technologies (e.g., Azure, AWS). - Experience with database technologies, both SQL (e.g., SQL Server) and NoSQL (e.g., MongoDB) and ORM frameworks (e.g., ...
... Strong understanding of REST/GraphQL APIs, backend architecture and data modelling.- Experience with SQL and/or NoSQL databases.- Hands-on experience with Docker and cloud platforms such as GCP, Azure or similar.- Good understanding of software design principles and system design.- Strong problem-solving and debugging skills.- ...
... Design and lead the implementation of end-to-end document automation solutions using KTA and KTM. Architect and develop complex document capture, classification, and extraction workflows with advanced customization via C#/.NET scripting. Integrate with SQL Server for data validation, PO/vendor matching, and export automation. ...
... Azure Databricks, and Azure SQL/Cosmos DB.- Architect AI/ML and Generative AI solutions using Azure Machine Learning, Azure AI Foundry, Azure OpenAI Service, and Cognitive Services.- Design data governance, security, and compliance frameworks using Microsoft Purview, Unity Catalog, and Azure security best practices.- Create ...
... Services, TCP/IP connectivity, and messaging systems. - Experience with financial markets or treasury systems. - Knowledge of market data integration platforms. - SQL and database experience (Oracle/MS SQL). - Experience with middleware and enterprise integration solutions. - LSEG/Reuters Market Data integration experience. ...
... Incremental sync for same-business-day freshness (including the platform's own write-back and the ledger reconciliation). Large-scale data / ETL engineering; SQL Server; performance tuning, Graph / vector stores, record linkage; graph and vector databases; SQL Server (incl. large-scale data engineering Nice-to-have. Experience ...
... https://jobeax.com/link/5LAiqjbD9cNqb9yo you will do :- Translate business questions into clear metrics and an analysis plan.- Prepare and analyse large datasets using SAS, SQL and Python.- Reconcile data sources, validate calculations and investigate discrepancies.- Identify what is driving performance and recommend actions supported ...
... and gateway integrations (e.g., payment providers, tax, and shipping services) Log, track, and manage defects through Jira, providing clear reproduction steps and severity assessment Collaborate closely with developers and project managers to clarify requirements and validate fixes Identify and communicate risk areas and ...
... Hands-on experience with integration interfaces and data flows- Strong troubleshooting and production support experience- Knowledge of APIs, web services, XML/JSON and data mappings- Good SQL knowledge for data validation and issue analysis- Exposure to ERP and supply chain system integrations- Strong analytical and problem-solving ...
... Hands-on experience with integration interfaces and data flows- Strong troubleshooting and production support experience- Knowledge of APIs, web services, XML/JSON and data mappings- Good SQL knowledge for data validation and issue analysis- Exposure to ERP and supply chain system integrations- Strong analytical and problem-solving ...
... Hands-on experience with integration interfaces and data flows- Strong troubleshooting and production support experience- Knowledge of APIs, web services, XML/JSON and data mappings- Good SQL knowledge for data validation and issue analysis- Exposure to ERP and supply chain system integrations- Strong analytical and problem-solving ...
... understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications - Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience - 1 - 2 years' Data Analysis experience - Proficient in SQL
... different platforms (e.g., Oracle to Azure SQL Database, MySQL to Azure Database for MySQL) or within the same platform (e.g., SQL Server on-premises to Azure SQL Managed Instance).2. Tools & Techniques: Extensive use of Azure Database Migration Service (DMS), Azure Data Studio with SQL Migration Extension, and manual methods ...
... performance tuning, security configurations, and cost optimization strategies.- Proven ability to write complex, highly optimized SQL queries and stored procedures to handle large-scale data transformations.- Strong experience in building and maintaining robust ETL/ELT workflows using modern data engineering tools and frameworks.- ...
... code, drafting SQL/dbt models, writing documentation, debugging pipeline failures, and summarising data quality issues Partner with data quality, governance, and analytics teams to ensure data is well-modelled, well-documented, and trustworthy Optimise Snowflake warehouse performance and cost (query tuning, clustering, ...