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 ...
... Material, Bootstrap, or PrimeNG). Backend: NET Core / .NET 6+ and C#. Web API: Understanding of how RESTful services are built in .NET (Controllers, Routing). SQL: Ability to write basic SQL queries (SELECT, JOIN, WHERE) and an understanding of relational database schemas (SQL Server or PostgreSQL). Tools: Experience with ...
... 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 ...
... countries. Job Title: Data Analyst-Data Validation Work Mode: Hybrid Experience: 8+ yrs. Job Type : Contract to hire. Immediate joiners. Strong experience in SQL and Python Ability to engage in discussion with senior stakeholders on defining business problems, designing analyses projects, and articulating analytical insights ...
... Provide end-to-end support for SQL Server environments including installation, configuration, security, patching, and upgrades. - Administer and troubleshoot SQL Server Agent jobs, backup/restore operations, replication, clustering, and AlwaysOn availability groups. • Lead or assist in performance tuning using: o SQL Profiler, ...
... of data from APIs, databases, and structured/unstructured sources. Perform data transformation, feature engineering, and advanced analytics using PySpark and SQL on Databricks. Leverage MLflow for model tracking, versioning, and deployment. Collaborate with stakeholders to translate complex business requirements into actionable ...
... or quantitative analysis in a production environment. - Strong proficiency in Python and data analysis libraries (Pandas, NumPy, SciPy, Matplotlib). - Advanced SQL querying and ability to work with large datasets. - Strong understanding of statistics, data analysis methods, and pattern detection in complex datasets. - Experience ...
... software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Microsoft SQL Server Administration Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As ...
... Have Skills: Proficiency in Python (Programming Language). Good To Have Skills: Experience with Google Cloud Platform. Hands-on with Python, Pandas, Data frames, SQL on GCP platform. Experience with modern frameworks and libraries relevant to Python development. Proficient in version control systems, particularly Git. Ability ...
... building data pipelines using platforms such as Azure Data Factory (for ETL orchestration) and Azure Databricks (for data processing with Spark) is essential. Strong SQL skills and experience writing complex data transformation logic are required; experience with programming languages like Python or Scala for data engineering ...
... Exposure to Ansible for database automation and operational tasks. Familiarity with automation and scripting to streamline database administration. Experience with MySQL, MongoDB, and SQL Server is a plus. Extensive Oracle Database management experience, including backups, security, patches, and installations. Proven expertise ...
... 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 ...
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 ...
... understanding of web development frameworks and libraries. Experience with RESTful APIs and microservices architecture. Familiarity with database management systems and SQL. Knowledge of version control systems, particularly Git. Additional Information: The candidate should have minimum 3 years of experience in Java Full Stack Development. ...
... 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, ...
... Programming and JCL Experience with DB2 for i & SQL Experience in Production Support & Application Maintenance Strong skills in Debugging & Performance Tuning on IBM i systems MANDATORY SKILLS RPG/400 RPG IV ILE RPG Free Format RPG AS/400 / IBM i CL Programming JCL DB2 for i SQL Production Support Debugging & Performance Tuning
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 ...
... (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 ...