... partners and data scientists. - Intermediate expertise in Data Vault 2.0 Modeling to be able to support and use the Specialty data vault. - Advance Expertise in SQL. The Engineer will be writing complex SQL statements. The Engineer should be able to use DBT as an ELT tool to load the data mart tables. - Advance expertise ...
... implementing Medallion Architecture (Bronze/Silver/Gold) and working with data versioning and schema enforcement in enterprise grade environments. Strong proficiency in SQL, Python, or Scala for data transformations and workflow logic. Proven experience integrating enterprise platforms (e.g., PeopleSoft, Salesforce, D2L) into centralized ...
... protocols. - Experience working with relational databases ( PostgreSQL, Oracle ) and JPA/Hibernate . Candidates must have robust transactional database experience (Oracle, Postgres), strong SQL skills to navigate and optimize very complex SQL in KALC, and a thorough understanding of enterprise-level, high-transactional platforms. ...
... protocols. - Experience working with relational databases ( PostgreSQL, Oracle ) and JPA/Hibernate . Candidates must have robust transactional database experience (Oracle, Postgres), strong SQL skills to navigate and optimize very complex SQL in KALC, and a thorough understanding of enterprise-level, high-transactional platforms. ...
... protocols. - Experience working with relational databases ( PostgreSQL, Oracle ) and JPA/Hibernate . Candidates must have robust transactional database experience (Oracle, Postgres), strong SQL skills to navigate and optimize very complex SQL in KALC, and a thorough understanding of enterprise-level, high-transactional platforms. ...
... Skills Strong experience in database administration and production operations . Expertise in at least one major enterprise database platform, such as: o Microsoft SQL Server o Oracle Database o PostgreSQL o MySQL/MariaDB Strong SQL knowledge and troubleshooting capabilities. Database backup and recovery. Database performance ...
... lifecycle, organizational structures, jobs/positions, security concepts), plus working knowledge of OTL and/or Absence Management. - Strong technical capability in Oracle SQL and PL/SQL, including the ability to analyze and validate data using the HRMS data model. - Practical proficiency with SQL*Plus for running SQL/PL/SQL scripts, ...
... facts, metrics, and measures. Hands-on experience with Snowflake and SQL. Proficiency with data modeling tools such as ER/Studio, Erwin Data Modeler, Lucidchart, MySQL Workbench, and Oracle SQL Developer Data Modeler. Possess strong hands-on SQL and Python skills. Strong experience with data architecture principles, including ...
... degree in computer science, information systems, or related field - Minimum 4 years of experience as a database administrator or a similar role - Proficient in SQL and database management systems (DBMS) Oracle, and SQL Server- Familiar with database design, development, and administration tools and techniques- Knowledge ...
... analytical, problem-solving, and debugging skills. Preferred Skills Familiarity with at least one Relational Database Management System (RDBMS). Working knowledge of SQL. Experience with Oracle Database and PL/SQL is an added advantage. Exposure to CI/CD practices and Agile development methodologies. Qualifications Bachelor's ...
... processes(P2P). Minimum 5 years of experience with B2B web-based software development, deployment, and configuration, ideally within enterprise environments. SQL & Database Proficiency: Working experience with SQL and other relational databases for configuration and troubleshooting purposes. Educational Qualifications: ...
... 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 ...
... DB Connection: JDBC Frontend: Framework: Angular 14 Languages: TypeScript, HTML, SCSS/CSS, TOML Package Management: NPM/Jfrog Databases Primary DB: Microsoft SQL Server Secondary DB: Oracle Data Integration & ETL Tool: SSIS (SQL Server Integration Services)" About NTT DATA NTT DATA is a $30 billion business and technology ...
... designs, processes, and technical solutions Assist in reporting and data extraction requirements when needed Must-Have Skills Strong hands-on experience with SQL (MySQL / PostgreSQL / MS SQL Server / Oracle) Expertise in writing complex joins, subqueries, CTEs, and window functions Experience in query optimization and ...
... causal inference, experimental design, propensity/uplift) - comfortable in a Spark / Snowflake environment - Strong Python (pandas, scikit-learn, statsmodels) and SQL against large databases - Degree in a quantitative field (Statistics, Data Science, Economics, CS, Math, or similar) Audience/identity or ad tech exposure (DSP/SSP, ...
... (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). - Strong background in ML algorithms, time series forecasting, optimization, and statistics . - Expertise in SQL and experience with large-scale data processing frameworks (Spark, PySpark, or similar). - Proven experience in taking ML models from concept to production deployment ...
... delivery within defined architecture, demonstrating autonomy and accountability in all stages from conceptualization to deployment. C#, .NET Core, MVC Strong SQL Server background Proficient English skills Experience in Agile software development methodologies. Expertise in applying Object-Oriented Programming principles ...
... are instrumental to the company's success. Utilize skills in development areas including data warehousing, business intelligence, and databases (Snowflake, ANSI SQL, SQL Server, T-SQL); Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure ...
... the Source Document (SD). Document Database Schemas : Determine the exact right storage engine for specific data types, deciding where the architecture requires SQL, NoSQL, Graph, or Time-Series databases. Maintain a strict mapping from upstream transformations to downstream storage, ensuring every table column traces back ...