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We are looking for an experienced Power BI developer with 7+yrs years of experience to join our Business Intelligence team. The ideal candidate will be responsible for transforming raw data into actionable insights using Microsoft Power BI. This role encompasses developing, maintaining, and optimizing interactive dashboards, reports, and data models to support strategic decision-making across the organization.

Key Responsibilities:

• Understand business requirements in the BI context and design data models to convert raw data to meaningful insights.
• Create complex DAX queries and functions in Power BI.
• Create dashboards and visual interactive reports using Power BI. Deploy creative visual interaction tools for different metrics.
• Proven expertise in the entire Microsoft Power Platform like Power Apps, Power Automate, Microsoft DataVerse, AI Builder etc.
• Provide architecture recommendations to manage Power BI workspaces.
• Design, develop, and deploy Power BI scripts and perform efficient detailed analysis.
• Create charts and document data with algorithms, parameters, models, and relations explanations.
• Make technical changes to existing BI systems in order to enhance their functioning.

Required Qualifications & Skills:

• 7+ years relevant experience with the above job duties for Intermediate Power BI Developer bachelor’s or master's degree in computer science or related fields.
• Certification in MS Power BI and Power Apps Suite is needed.
• Good creative and communication skills – Ability to influence and recommend visualizations to the senior leadership teams.
• Ability to create complex SQL queries to join multiple tables / data is absolutely Needed.
• Understanding of JavaScript, CSS, and other JavaScript libraries is preferred.

Bangalore / Chennai

• Hands-on data modelling for OLTP and OLAP systems
• In-depth knowledge of Conceptual, Logical and Physical data modelling
• Strong understanding of Indexing, partitioning, data sharding, with practical experience of having done the same
• Strong understanding of variables impacting database performance for near-real-time reporting and application interaction.
• Should have working experience on at least one data modelling tool, preferably DBSchema, Erwin
• Good understanding of GCP databases like AlloyDB, CloudSQL, and BigQuery.
• People with functional knowledge of the mutual fund industry will be a plus

Role & Responsibilities:

● Work with business users and other stakeholders to understand business processes.

● Ability to design and implement Dimensional and Fact tables

● Identify and implement data transformation/cleansing requirements

● Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse

● Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions

● Design, develop and maintain ETL workflows and mappings using the appropriate data load technique

● Provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions.

● Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use.

● Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality.

● Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions.

● Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into reporting & analytics.

● Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions.

● Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements.

● Train business end-users, IT analysts, and developers.

Required Skills:

● Bachelor’s degree in Computer Science or similar field or equivalent work experience.

● 5+ years of experience on Data Warehousing, Data Engineering or Data Integration projects.

● Expert with data warehousing concepts, strategies, and tools.

● Strong SQL background.

● Strong knowledge of relational databases like SQL Server, PostgreSQL, MySQL.

● Strong experience in GCP & Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function and GCS

● Good to have knowledge on SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS).

● Knowledge of AWS and Azure Cloud is a plus.

● Experience in Informatica Power exchange for Mainframe, Salesforce, and other new-age data sources.

● Experience in integration using APIs, XML, JSONs etc.

Certification is mandatory – PD1 /PD2.

Lightning web component Development and debugging

Worked on XML, JavaScript, CSS2 & CSS3, HTML5& jQuery

Integration and Dataloader experience

Apex Scripting and debugging

Salesforce Trigger

Flow design

Experience on Mulesoft Integration

Integration REST API/Lightning Messaging Services

Sales Cloud knowledge – preferred

Proficient in Golang, Python, Java, C++, or Ruby (at least one)

Strong grasp of system design, data structures, and algorithms

Experience with RESTful APIs, relational and NoSQL databases

Proven ability to mentor developers and drive quality delivery

Track record of building high-performance, scalable systems

Excellent communication and problem-solving skills

Experience in consulting or contractor roles is a plus

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

Job Description : 

Responsibilities:

• Develop and maintain automated test scripts using Cypress for web applications.

• Conduct API testing using Postman to ensure the functionality, reliability, and performance of APIs. 

• Collaborate with developers and other stakeholders to identify and resolve defects and issues. 

• Create and execute test plans and test cases for both frontend and backend systems. 

• Design and implement automation frameworks to enhance test coverage and efficiency. 

• Perform load and stress testing to identify performance bottlenecks.

• Analyze and interpret test results, providing detailed reports and recommendations. 

• Stay up-to-date with industry trends and best practices in automation testing.

Requirements:

• Proven experience in automation testing with Cypress.

• Strong knowledge of API testing tools such as Postman.

• Proficiency in scripting languages like JavaScript or Python.

• Familiarity with software QA methodologies, tools, and processes.

• Experience with continuous integration tools like Jenkins.

• Excellent problem-solving skills and attention to detail.

• Strong communication and collaboration skills

Must Have:

  Automation, Cypress, API, Strong Java or .Net coding, Sql

Desired Candidate :

• Experience in Node.JS working with large scale backend applications
• Expertise in any Relational or NoSQL databases and any of caching databases
• Experience in integrating with RESTful/GraphQL APIs and Microservice APIs
• Good problem solving and debugging skill
• Good knowledge of engineering excellence: Unit Testing/TDD, Code quality,
• Documentation, CI&CD
• Exposure on event-driven, asynchronous I/O
• Experience in Linux development and AWS ecosystem tools
• Experience in non-functional requirements (Scalability, Performance optimisation, Security)

What you can achieve :

• Empowering Entrepreneurial Spirit: Whatever your role is, we'll encourage you to reinvent and reinvigorate; achieving the best for CaratLane and you.
• Celebrating Your Contribution: We recognize and reward everyone who approaches their job with true passion, and drives performance.
• The Best of Tanishq and CaratLane: Work with a disruptive, new-age omni-channel brand, while being a part of India's most trustworthy organisation - the Tata Group.

What you need to have:

Title: Software Development Engineer Fullstack

Duration: Permanent / Fulltime

• Development and potentially maintenance of advanced software systems and their features.
• Interact with customers and partners to scope and estimate user stories from acceptance criteria.
• Produce highly testable code with an emphasis on quality and correctness.
• Work alongside other engineers to improve technology, while consistently applying established effective software development practices.
• Attend regular project meetings, report on progress and setbacks, and participate in both planning and retrospective exercises.
• Proficient in .NET Core /C# ,Strong in OOPs, MVC, Design patterns, SOLID principles, Web API,  SQL Server.HTML5, CSS3, JavaScript/Type scripting and web development frameworks.
• Expertise in React, Nodejs,
• 3 years of SQL server development 
• Database design SOAP, REST

GREETINGS FROM CODEMANTRA !!!

EXCELLENT OPPORTUNITY FOR DATA SCIENCE/AI AND ML ARCHITECT !!!

Skills and Qualifications

*Strong Hands-on experience in Python Programming

*** Working experience with Computer Vision models - Object Detection Model, Image Classification

* Good experience in feature extraction, feature selection techniques and transfer learning

* Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.

* Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.

* Good experience in exploratory data analysis, data visualisation, and other data pre-processing techniques.

* Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe Good knowledge in statistics, distribution of data and in supervised and unsupervised machine learning algorithms.

* Exposure to OpenCV Familiarity with GPUs + CUDA Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.

* We are looking for a candidate with 9+ years of relevant experience , who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: *Experience with big data tools: Hadoop, Spark, Kafka, etc.
*Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
*Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.

Responsibilities
*Selecting features, building and optimizing classifiers using machine learning techniques
*Data mining using state-of-the-art methods
*Enhancing data collection procedures to include information that is relevant for building analytic systems
*Processing, cleansing, and verifying the integrity of data used for analysis
*Creating automated anomaly detection systems and constant tracking of its performance
*Assemble large, complex data sets that meet functional / non-functional business requirements.
*Secure and manage when needed GPU cluster resources for events
*Write comprehensive internal feedback reports and find opportunities for improvements
*Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model

Regards