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Senior Engineer – Data Analytics

Position Overview

Pls find below the JD for AI ML Engineer under Pon area: Qualifications Model Prototyping a. The ML Engineer would be expected to build prototype models alongside data scientists. This may involve data exploration, high-performance data processing, and machine learning algorithm exploration. b. The ML engineer will be expected to come up with a rationale for model choice and come up with metrics to properly evaluate models. Model Productionalization a. Works with data scientists to productionalize prototype models to the point where it can be used by customers at scale. This might involve increasing the amount of data used to train the model, automation of training and prediction, and orchestration of data for continuous prediction. b. The engineer would be expected to understand the details of the data being used and provide metrics to compare models. Model Enhancement a. Work on existing codebases to either enhance model prediction performance or to reduce training time. In this use case you will need to understand the specifics of the algorithm implementation in order to enhance it. This enhancement could be exploratory work based off of a performance need or directed work based off of ideas that other data science team members propose. Machine Learning Tools a. The ML Engineer would build a tool for a specific project, or multiple projects though generally these types of projects are decoupled from any one project. b. The goal of this type of use case would be to ease a pain point in the data science process. This may involve speeding up training, making a data processing easier, or data management tooling. B.Tech and/or M.Tech in Computer Science or related field, or equivalent practical experience with data driven analysis mindset Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering) Knowledgeable with Data Science tools and frameworks such as Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark, etc. Experience with ETL and distributed computing tools such as Spark, SQL, etc. Responsibilities Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”. Develop machine learning patterns for building and training classical machine learning models and interaction with large language models. Work with data engineers to create and refine features from the underlying data and build pipelines to train and deploy models. Partner with data engineers to understand, implement, refine and design machine learning and other algorithms. Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models. Work cross functionally with product managers, data and product engineers, and communicate results to peers and leaders. Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliverLong Description-Machine Learning + Artificial Intelligence + SQL + Data Modelling

Senior Engineer – Data Analytics

Position Overview

Primary Skill : Qlik Sense Secondary Skill : SQL Exp : 8 – 10 yrs JD : We are seeking a talented and motivated Qlik Sense Developer(agency) to join our growing team. You will play a crucial role in designing, developing, and implementing visually compelling data visualizations and dashboards using Qlik Sense. This position will work closely with business stakeholders to understand their needs and translate them into effective data solutions. The Qlik Sense Developer will collaborate with the Manager, Strategy and Integration and IS IT colleagues to organize, support, and monitor the business operations and performance of the Industrial Systems IT Team. This role will involve: • Take ownership of assigned tasks from the product backlog, ensuring timely and efficient delivery. Provide support for existing Qlik Sense solutions. • Collaborate with business users to gather and understand functional and technical requirements. Translate these requirements into comprehensive Qlik Sense solutions/dashboards, adhering to established IT processes and security protocols. • Work closely with the product team to receive detailed task information and provide regular status updates to the IT project manager. • Analyze change requests from business users, assessing their impact on existing functionality. Develop comprehensive test cases to ensure the quality and integrity of any implemented changes. • Design and build visually compelling Qlik Sense dashboards that provide insightful data visualizations. • Collaborate effectively with stakeholders to ensure alignment on reporting needs and requirements. • Develop, debug, and maintain Qlik Sense applications, including data models, visualizations, and dashboards. Conduct unit testing to ensure code quality and functionality. • Participate in code reviews with peers to maintain high development standards. Collaborate with business users to conduct User Acceptance. Knowledge in Alteryx, SQL, CSS • Strong analytical and problem-solving skills. • Proficiency in Microsoft Office Suite, including Excel and PowerPoint. • Understanding of IT infrastructure and systems. • Ability to work independently and as part of a team. • Strong organizational and time management skills. • Detail-oriented with a focus on accuracy. • Knowledge and experience in IT Business Operations. This includes a strong understanding of IT processes, workflows, and best practices. Testing (UAT) and ensure the solution meets their expectations.Long Description-SQL + CSS + Qliksense

Senior Engineer – Quality Engineering

Position Overview

Long Description-API Automation – Rest assured + API Testing + Python

Staff Engineer – Product and Platform Engineering

Position Overview

Java backendLong Description-Java + spring boot + Microservices

Engineer – Quality Engineering

Position Overview

JD for Sr. ETL QE Engineer: Very good understanding of ETL process and ETL QA process Good in Data warehousing concepts Good understanding of Agile methodology Good in design and implementation of Data testing end to end automation Excellent in writing complex SQL queries Good to have working knowledge in AWS Cloud Good exposure to Bigdata/ Hive, Pyspark, Databricks notebook Good knowledge in two of the databases DB2,MySQL, Snowflake, Oracle, Teradata, MS SQL &PL SQL Working with any of the ETL tools like Informatica/SSIS/Datastage Working knowledge with UNIX Working knowledge with Python and Python Pandas Working knowledge on Data Migration/Technology Migration projectLong Description-Mysql + Oracle + Hive + ETL + Data Bricks + PLSQL + PySpark

Architect – Data Engineering

Position Overview

JD for Data Modeller ———————– Should be very good in Erwin data Modelling Should have good knowledge about data quality and data catalog Should have good understanding in data lineage Should have good understanding of the data modelling in both OLTP and OLAP system. Should have worked in any of the data warehouse as big data architecture. Should be very good in ANSI SQL. Should have good understanding on data visualization. Should be very comfortable and experience in Data analysis. Should have good knowledge in data cataloging tool and data access policy.Long Description-Data Modelling + ERWIN

Senior Engineer – Data Engineering

Position Overview

Senior Data engineer JD Experience: 5 to 8 years Responsibilities: Works closely with the business owner / Product owner / Cross functional Team and gathering technical requirements Experience in building and maintaining reliable and scalable ETL pipeline on big data & / or Cloud platform through the collection, storage, processing, and transformation of large datasets Collaborate with other teams to design, develop and deploy data tools that support both operations and product use cases Work with the team in solving problems in big data technologies and prototype solutions to improve our data processing architecture Must Have: Ensuring proper execution of tasks and alignment with business vision and objectives Oversee activities of the junior data engineering teams Works closely with the business owner / Product owner / Cross functional Team and gathering technical requirements Experience in building and maintaining reliable and scalable ETL pipeline on big data/Cloud platform through the collection, storage, processing, and transformation of large data-sets Experience working with varied forms of data infrastructure inclusive of relational databases such as SQL, Hadoop, Spark Proficiency in scripting languages in PySpark, python Experience in AWS cloud & DevOps Experience in Databricks Experience in Database design/data modelling Must have strong experience in data warehouse concepts, understanding Data Lake, Lake House Concepts, any new Big Data eco system. Experience in testing and validation in order to support the accuracy of data transformations and data verification Should be able to independently drive the requirements, have solutioning mindset facing business stakeholders Soft Skills: Excellent Verbal and Communication skills needed. Should be a excellent team player. Good knowledge on Agile principles and experience working in scrum teams using Jira Should be comfortable to mentor junior engineers in the team (For Senior Data Engineers) Should be able to operate in an ambiguous environment with minimal guidance.Long Description-SQL + Hadoop + SPARK + Dev Ops + PySpark + Python

Engineer – Data Engineering

Position Overview

Senior Data engineer JD Experience: 5 to 8 years Responsibilities: Works closely with the business owner / Product owner / Cross functional Team and gathering technical requirements Experience in building and maintaining reliable and scalable ETL pipeline on big data & / or Cloud platform through the collection, storage, processing, and transformation of large datasets Collaborate with other teams to design, develop and deploy data tools that support both operations and product use cases Work with the team in solving problems in big data technologies and prototype solutions to improve our data processing architecture Must Have: Ensuring proper execution of tasks and alignment with business vision and objectives Oversee activities of the junior data engineering teams Works closely with the business owner / Product owner / Cross functional Team and gathering technical requirements Experience in building and maintaining reliable and scalable ETL pipeline on big data/Cloud platform through the collection, storage, processing, and transformation of large data-sets Experience working with varied forms of data infrastructure inclusive of relational databases such as SQL, Hadoop, Spark Proficiency in scripting languages in PySpark, python Experience in AWS cloud & DevOps Experience in Databricks Experience in Database design/data modelling Must have strong experience in data warehouse concepts, understanding Data Lake, Lake House Concepts, any new Big Data eco system. Experience in testing and validation in order to support the accuracy of data transformations and data verification Should be able to independently drive the requirements, have solutioning mindset facing business stakeholders Soft Skills: Excellent Verbal and Communication skills needed. Should be a excellent team player. Good knowledge on Agile principles and experience working in scrum teams using Jira Should be comfortable to mentor junior engineers in the team (For Senior Data Engineers) Should be able to operate in an ambiguous environment with minimal guidance.Long Description-SQL + Hadoop + SPARK + PySpark + Python

Senior Engineer – Data Analytics

Position Overview

Primary Skill : Qlik Sense Secondary Skill : SQL Exp : 4 – 8 yrs JD : We are seeking a talented and motivated Qlik Sense Developer(agency) to join our growing team. You will play a crucial role in designing, developing, and implementing visually compelling data visualizations and dashboards using Qlik Sense. This position will work closely with business stakeholders to understand their needs and translate them into effective data solutions. The Qlik Sense Developer will collaborate with the Manager, Strategy and Integration and IS IT colleagues to organize, support, and monitor the business operations and performance of the Industrial Systems IT Team. This role will involve: • Take ownership of assigned tasks from the product backlog, ensuring timely and efficient delivery. Provide support for existing Qlik Sense solutions. • Collaborate with business users to gather and understand functional and technical requirements. Translate these requirements into comprehensive Qlik Sense solutions/dashboards, adhering to established IT processes and security protocols. • Work closely with the product team to receive detailed task information and provide regular status updates to the IT project manager. • Analyze change requests from business users, assessing their impact on existing functionality. Develop comprehensive test cases to ensure the quality and integrity of any implemented changes. • Design and build visually compelling Qlik Sense dashboards that provide insightful data visualizations. • Collaborate effectively with stakeholders to ensure alignment on reporting needs and requirements. • Develop, debug, and maintain Qlik Sense applications, including data models, visualizations, and dashboards. Conduct unit testing to ensure code quality and functionality. • Participate in code reviews with peers to maintain high development standards. Collaborate with business users to conduct User Acceptance. Knowledge in Alteryx, SQL, CSS • Strong analytical and problem-solving skills. • Proficiency in Microsoft Office Suite, including Excel and PowerPoint. • Understanding of IT infrastructure and systems. • Ability to work independently and as part of a team. • Strong organizational and time management skills. • Detail-oriented with a focus on accuracy. • Knowledge and experience in IT Business Operations. This includes a strong understanding of IT processes, workflows, and best practices. Testing (UAT) and ensure the solution meets their expectations.Long Description-SQL + CSS + Qlik Sense

Lead Consultant – Business Solutions and Research

Position Overview

Business Analyst (8-12 Years of Experience) Location: Pune, India Position Type: Full-time Job Summary: We are seeking an experienced Business Analyst with a strong background in requirements gathering, analysis, and solution design. The ideal candidate will possess 8 to 12 years of experience in business analysis, working closely with stakeholders to identify business needs and translate them into technical requirements. This role will be based in Pune and will involve collaborating with cross-functional teams to deliver impactful solutions that drive business outcomes. Key Responsibilities: ● Requirements Gathering & Analysis: Lead sessions with stakeholders to understand and document business needs, objectives, and functional requirements. Translate these into detailed technical specifications and workflows. ● Solution Design: Collaborate with IT and development teams to design effective solutions that align with business goals. Ensure that solutions meet both functional and non-functional requirements. ● Process Improvement: Identify areas for business process improvement and recommend solutions to enhance operational efficiency, customer satisfaction, and overall productivity. ● Stakeholder Management: Serve as the primary liaison between business stakeholders, IT teams, and external vendors. Manage stakeholder expectations and ensure alignment on project deliverables and timelines. ● Documentation: Create and maintain comprehensive business analysis documentation, including requirement specifications, use cases, user stories, process flows, and wireframes. ● Testing & Validation: Work with quality assurance teams to develop test cases and validate that the developed solutions meet the defined requirements. Participate in user acceptance testing (UAT) and provide feedback for improvements. ● Data Analysis: Analyze and interpret data to identify trends, patterns, and insights that support decision-making and strategic planning. ● Project Management Support: Assist project managers with project planning, scheduling, and tracking progress to ensure successful delivery of projects on time and within scope. ● Training & Support: Provide training and support to end-users and stakeholders, ensuring a smooth transition and adoption of new processes and systems. Required Qualifications: ● Bachelor’s degree in Business Administration, Information Technology, Computer Science, or a related field. ● 8 to 12 years of experience as a Business Analyst, preferably in a technology-driven environment. ● Strong analytical skills with a proven ability to analyze complex business processes and translate them into technical requirements. ● Proficiency in business analysis tools and methodologies, such as UML, BPMN, and Agile frameworks. ● Familiarity with project management tools like JIRA, Trello, or MS Project. ● Excellent verbal and written communication skills, with the ability to communicate complex concepts to both technical and non-technical stakeholders. ● Experience in data analysis tools, such as Excel, SQL, or BI tools, is a plus. ● Strong organizational and time management skills, with the ability to manage multiple priorities and deadlines. Preferred Qualifications: ● MBA or relevant certification in Business Analysis (e.g., CBAP, CCBA, PMI-PBA). ● Experience with software development life cycle (SDLC) methodologies, including Agile and Waterfall. ● Knowledge of data visualization tools like Power BI or Tableau. ● Experience working in a multinational or cross-cultural environment. Key Competencies: ● Strategic thinking and problem-solving ● Adaptability and flexibility ● Strong interpersonal and relationship-building skills ● Attention to detail and a commitment to accuracy ● Ability to work independently and as part of a teamLong Description-JIRA + SQL + Business Data Analytics

Senior Engineer- Cloud

Position Overview

AWS Terraform KubernetesLong Description-AWS terafform

Senior Engineer – Product and Platform Engineering

Position Overview

Job Descriptions: for UI – Senior/ Lead Developer Job Description Experience: 6-10 yrs (approx.) Education: Btech/MCA Base Location: Chennai Mandatory Skills: Proficient understanding of developing SPA (Single Page Application) using Angular (versions – 16 & above) – and associated libraries; Expertise with Micro-frontend UI architecture (preferably along with AWS cloud) Proficient understanding of Angular ecosystem and its usage in high traffic/ high throughout, performant and secure production environment; Strong understanding of Object-Oriented JavaScript (OOJS) – Typescript, ES6, ES7, ES8, ESNext Good understanding of legacy Angular JS framework and experience in technology transitions & framework upgradations. Good understanding of RxJs & NGXS libraries Proficient understanding of unit testing using JavaScript test frameworks like Jasmine, Karma along with SonarQube; Intermediate level understanding of Node JS, Express JS Good understanding of Server-Side Rendering, Isomorphic Application development with modern UI frameworks. Proficient understanding of web mark-up, including HTML5, CSS3, Basic understanding of server-side CSS pre-processing platforms, such as LESS and SASS Proficient understanding of client-side scripting and JavaScript frameworks Experience in Responsive UI design, Knowledge of UI design patterns and best practices Proficient understanding of cross-browser compatibility issues and ways to work around them. Good understanding of UI Accessibility standards. Proficient understanding of code versioning tools, such as GIT Proficient understanding of deployment process of UI application Nice to have experience on developing SPAs using React, Redux libraries. Roles and Responsibilities: Should define and drive technical strategy and architectural vision that supports the successful execution of the product vision and business strategy. Defining best practices & standards for usage of libraries, frameworks and other tools being used; Oversee the architecture, design, and implementation of software and marketing applications from development, delivery, and releases. Breakdown complex requirements into independent architectural components, modules, tasks and strategies and collaborate with peer leadership through the full software development lifecycle to deliver top quality, on time and within budget. Lead and coach a team of software developers, architects, and other technical staff both externally and virtually. Demonstrate excellent communications with stakeholders regarding delivery goals, objectives, deliverables, plans and status throughout the software development lifecycle. Should be able to work with various stakeholders (Architects/Product Owners/Leadership) as well as team – Lead/ Principal/ Individual Contributor for Web UI/ Front End Development; Should be able to work in an agile, dynamic team environment; Desirable Skills: Individuals with experience in managing production applications on Azure – cloud, usage of various Azure services for enhanced scalability, performance, effective logging, monitoring, reporting, dash boarding ( APM Tools)Long Description-Angular + Jasmine + User Interface

Engineer – Quality Engineering

Position Overview

2 to 4 years of experience in a SDET role with a relevant degree in Computer Science or Information Technology is required. Show ability to quickly learn a product or concept, viz., its feature set, capabilities, functionality and nitty-gritty. Hands-on with and a decent understanding of the workings of Windows and Unix platforms is expected. Understanding of any Cloud Platforms – CSPs such as AWS, GCP, Azure is desired. Understanding of Endpoint security concepts around Endpoint Detection and Response (EDR) can be an added advantage. Any experience on containerization and orchestration can be an added advantage.Long Description-SDET + Python

Staff Engineer – Product and Platform Engineering

Position Overview

Engineer – UI Angular, 5-7 yrsLong Description-Angular + User Interface

Lead Engineer – Product & Platform Eng-Consult

Position Overview

We are looking for a highly experienced AI and Data professional with a robust background in data engineering, data science, and machine learning solutions. The ideal candidate will have over 10 years of experience, specializing in MLOps with a deep understanding of platforms like Databricks and AWS. This role involves spearheading the development of scalable data pipelines and deploying machine learning models in production environments. Leadership, team management, and strategic contributions will also be key responsibilities, with the opportunity to drive technological advancements across industries such as energy, social networks, and retail.