
● 2-5 Years of experience in the Design and Development ofE2E BI & Analytics projects in a global enterprise environment.
● Strong T-SQL Experience (Defect triaging, Build T-SQL procedures, TVF, Views, Ragged hierarchy, Cursors, Loops, Working with local/global parameters, Reports. ability to review an existing T-SQL code block, ETL load issues, identify performance bottlenecks and tune where required. Articulate the changes and root-cause to the manager)
● Good knowledge of database performance and tuning, troubleshooting and query optimization.
● Proficient in Data warehouse design and BI application development
● Deep understanding of writing SQL code.
● Experience in Power BI, SSAS tabular modelling,Azure Data Factory and DAX on Azure Platform is goodto have.
● Experience in Cloud Platforms, Azure technologieslike Azure Analysis Services, etc. is good to have.
● Experience in CRM systems like sales force is good to have.
● Experience working with dataset ingestion, data model creation, reports, dashboards, etc is good to have.
● Experience in other reporting tools is good to have.
● Demonstrated Ability to use GIT, Jenkins and otherchange management tools is good to have.
● Good knowledge of database performance and tuning, troubleshooting and query optimization.

Similar jobs
Job Opening: ERP Developer – Noida/Gurgaon
📍 Location: Noida/Gurgaon
💼 Experience: 5-8 Years
We are looking for an ERP Developer with expertise in D365 Finance and Operations to join our team. If you have hands-on experience in Microsoft Dynamics AX 2012 R3, Power BI, Power Apps, MS SQL Server, and SSRS reports, we want to hear from you!
🔹 Key Skills & Expertise:
✅ D365 Finance & Operations (Finance Consultant Role)
✅ Microsoft Dynamics AX 2012 R3 / D365 Technical Development
✅ Power BI & Power Apps Platform
✅ MS SQL Server & SSRS Reports
✅ 24x7 ERP Support & Implementation

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.
Machine Learning Engineer Responsibilities:
Consulting with managers to determine and refine machine learning objectives.
Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
Transforming data science prototypes and applying appropriate ML algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Running tests, performing statistical analysis, and interpreting test results.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.
Machine Learning Engineer Requirements:
Bachelor's degree in computer science, data science, mathematics, or a related field.
Master’s degree in computational linguistics, data analytics, or similar will be advantageous.
At least two years' experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code writing.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
In-depth knowledge of mathematics, statistics, and algorithms.
Superb analytical and problem-solving abilities.
Great communication and collaboration skills.
Excellent time management and organizational abilities.

