... continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for: Senior .NET Developer (Automotive CRM Platform) start ASAP, max 2tyg Tech stack: .NET 8 | https://jobeax.com/link/GrYTXLZMpxEMJknV Core | Kafka | SQL | Microservices | AWS | Angular ...
... Spolupráce na zavádění procesů a principů Data Governance a Data Managementu  - Zapojení do tvorby klíčových artefaktů:   Data Catalog  Data Governance Framework  Data Management Standards & Policies  Enterprise Data Models  - Účast na implementaci moderních ...
... chops are a given, but what sets you apart is asking the right questions and translating fuzzy business problems into solutions. We're looking for an AI/Data consultant, not "just" data person. - Strong skills in Python and SQL, experience with analytical databases (Snowflake or similar). - Familiarity with workflow ...
... opportunities to create additional value within existing accounts and contribute to long-term client success. What You Bring Must-haves - 3+ years of experience in Data Science, Data Analytics, or Business Intelligence. - Strong hands-on skills across the stack. Data engineering, modelling, and front-end delivery - ideally in ...
... Master Data Co-Ordinator is accountable for orchestrating the E2E set up of master data within our ERP systems. Taking responsibility for ensuring the correct data maintenance is executed within the ERP Systems of the EMEA Region. This may include the creation, modification, and deletion of key system data such as item records, ...
... Work with the latest technology stack: Azure, Databricks, PySpark, and latest AI tooling - Keep humans in the loop — validate model and agent output, and uphold data governance standards - Make a tangible impact on the shopping experience of millions of customers What do we expect from you? - Enthusiastic Data Scientist willing ...
... Bring - 3+ years of experience in data engineering, search engineering, or a related field - Experience building and maintaining ETL pipelines and working with data warehouses - Familiarity with semantic search concepts and embedding-based retrieval - Proficiency in Python and SQL - Experience with document processing, text ...
... national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home. A Day in the Life of an Online Data Analyst: - In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide ...
... document VBA macros and automation workflows - Transform raw data into structured, analysis-ready datasets - Automate recurring reports, reconciliations, and data validation processes - Create advanced formulas (including Power Query, dynamic ranges, array formulas) - Perform data analysis to identify trends, anomalies, ...
... requirement. Familiarity with Snowflake is an asset. - Knowledge of machine learning techniques and predictive modeling is highly desirable. - Familiarity with data processing tools like Airflow, dbt and SSIS is considered an asset. - Knowledge of Python programming is a definite advantage. - Great communication and consulting ...
... requirement. - Proficiency in working with relational databases, including MySQL, is a mandatory requirement. Familiarity with Snowflake is an asset. - Knowledge of data warehousing concepts, dimensional modeling, and data architectures. - Knowledge of Python programming is a definite advantage. - Excellent communication skills ...
... - Help establish data standards, business definitions and reporting rules - Promote one common data language, shared definitions and a consistent approach to data across the organization - Support data governance, data quality, data ownership and business glossary initiatives - Identify and resolve data inconsistencies ...
Odpovědnosti Původní popisek.  - Validate datasets loaded into each technology to confirm completeness, accuracy, and structural integrity relative to source data in Databricks and CDS - Verify benchmark query outputs across technologies — confirm that the same logical query against the same underlying data produces ...
... ingestion patterns Ukázat vše (11) O pozici / o projektu Původní popisek.  What will you do? Join a team building a strategic cloud-based risk data platform that delivers large-scale market data processing and analytics capabilities. You will work on modern data processing pipelines, microservices, and integration ...
... components, understand data and integration dependencies, and evaluate security, scalability, operability, costs, and risks.   - Practical knowledge of AI/Data technologies. You do not need to be a full-time developer, but you must understand how AI/Data solutions are actually built, including data pipelines, cloud platforms, ...
... and enhance PL/SQL code, track changes in GitHub - Collaborate with the Engineering Scrum team to refine user stories and solve issues - Align static reference data and explore Product Taxonomy across multiple business segments - Write advanced SQL queries and Python Pandas scripts for large datasets - Support troubleshooting ...
... impact customers. The Data Team At Modash, the Data Insights team isn’t a support function — it’s a core part of the product. You’ll join a growing group of data and backend engineers, working within our broader Data organization. We work in three closely aligned teams within Data: - Data Insights — builds the creator ...
... state-of-the-art AI tooling to make yourself more efficient at aspects of the job - Have a rotating oncall duty with other team members to look over a world-class data pipeline - Your tools: Primarily modern Java, but you may also come across limited amount of Go, Python; Environments: AWS and GCP, including FedRAMP-regulated; ...
Odpovědnosti Původní popisek. - Building and launching data pipelines and data models in cloud environments (Azure is our main ecosystem). - Close collaboration with clients - gathering requirements, discussing solutions, communicating progress clearly. - Implementing best practices in data engineering: data integrity, ...