We’re looking for an experienced, motivated hands-on Data and AI engineer who brings ideas about handling largescale enterprise applications leveraging data platforms; As a software engineer, you’ll apply your deep expertise in designing, developing, delivering, and supporting a world class software and data platform. You will take full ownership of delivering high-impact big data platform that is robust, scalable and support production-grade applications and services for the supply chain space. You will leverage open source and cloud storage tools to build and develop reusable components and architecture that can enable the data science teams to provide best in class AI/ML and data analysis environment. You will also help in providing technical direction and develop strategies for long-term platform growth. You need to be versatile, display leadership qualities and open minded to take on new problems that our customers face. The day today responsibilities include, Analyzes and designs reusable components of the data platform and services required to support the data storage, data schema, data orchestration. Design, develop, troubleshoot, and scale the data pipelines required to support the various analytics and AI/ML workloads. Understand application produced artifacts, design the entire pipeline of schema definition, efficient storage and query of various entity objects. Train, fine-tune, evaluate, and optimize AI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability. Seamlessly integrate AI models and autonomous agent solutions into cloud-based products to drive smarter workflows and improved productivity Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization. Monitor and maintain deployed models, ensuring consistent performance and reliability in production environments Translate complex technical and functional problems into detailed designs Partner and work with data scientists in the team in taking data science algorithms and integrating them efficiently for high scale production application. Provide senior level support and mentoring by evaluating product enhancements for feasibility studies and providing completion time estimates Develop high quality unit, tests functional tests and integration tests supporting the data extract, transform, load pipelines Ensure product quality by participating in design reviews, code reviews and working with the team for end-to-end validation of the entire product Design and develop various data validation strategies ensuring that robust , good quality data is provided to data science teams for model development and advanced analytics Define data governance, data auditing policy and strategies for compliance and security controls Write and maintain technical documentation for the various projects. Review product user documentation for technical accuracy and completeness Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 5-7 years of experience in developing enterprise applications using Java, Python, spark and related technologies with 2+ years of focus on DataEngineering, DataOps, MLOps and AI Engineering - Software development strategies for low latency, high throughput softwares Hands-on experience with common distributed processing tools and languages Python, Spark, Hive, Presto Deep understanding of data pipelines, data modeling strategies, schema management Experience with specialized data architectures like data lake, data mesh and optimizing data layouts for efficient processing. Hands on Experience with streaming platforms and frameworks like Kafka, spark-streaming Hand on Experience in integrating AI models into real-world applications Strong understanding of advanced algorithms used in design and development of enterprise grade software Familiarity with pipeline orchestrator tools like Argo, Kubeflow, Airflow or other open source Familiarity with platforms like Kubernetes and experience building on top of the native platforms Good written and verbal communication skills Ability to provide guidance to less experienced team members. Preferred technical and professional experience Proficiency in Java, Python, Spark, and related technologies Hands-on experience with common distributed processing tools and languages Python, Spark, Hive, Presto Familiarity with pipeline orchestrator tools like Argo, Kubeflow, Airflow or other open source Familiarity with platforms like Kubernetes and experience building on top of the native platforms

Opentext - Must have experience in Configuring, installing, and maintaining OpenText Content Server, Archive Center, OTDS, Blazon, Brava etc Must have experience in migration and upgrade projects. Good understanding of Content Server & Archive Center schema and databases like Oracle/SQL. Monitor system performance and exhibit strong troubleshooting skills to provide technical support for OpenText related issues. Assist in planning and executing system upgrades and patches. Must have experience in Workflows, Web Reports, Forms, Form Templates, Records Management, Physical Objects. Facilitate the consumption of Content Sever REST APIs and web services. Participate in disaster recovery planning and execute recovery procedures as needed. Proficiency in Web technologies including HTML, JavaScript, CSS, React, Bootstrap etc. Good to have experience in Answer Modules Content Script, Beautiful web forms. Good to have experience in ASP.NET (C#) Mentor and provide technical guidance to junior developers. Communicate effectively with end users and coordinate with various teams and stakeholders.

Job Summary: We are seeking a highly skilled Data Modeller with 5-10 years of experience in data analytics and data warehousing projects on the AWS platform. The ideal candidate will have a strong background in data modelling, business requirements analysis, and KPI development. This role requires expertise in creating data flow diagrams, business process flow diagrams, and data mapping from source to target systems. The candidate should also be proficient in analysing source data for data quality issues and designing conceptual, logical, and physical data models for dashboards and KPIs. Experience with star schema, snowflake schema, and data marts is essential. Key Responsibilities: Gather and document business requirements for KPI development, dashboards, and reports. Create and maintain business process flow diagrams and data flow diagrams. Perform data mapping from source systems to target data models. Analyse source data in Excel or databases to identify and resolve data quality issues. Design conceptual data domains, logical data entities, and physical data models. Develop data warehouse models, including star schema, snowflake schema, and data marts. Collaborate with stakeholders, including business teams, data engineers, and developers, to ensure alignment between business needs and data architecture. Support data governance initiatives by defining metadata, data lineage, and data quality rules. Work on data analytics projects to enhance data-driven decision-making. Implement best practices for data modelling, ensuring scalability and performance optimization. Required Skills Qualifications: 5-10 years of experience in data analysis, data modelling, and data warehousing. Hands-on experience with AWS data services (e.g., Redshift, Glue, Athena, S3, Lambda). Proficiency in SQL for data extraction, transformation, and analysis. Experience with data visualization tools (e.g., Power BI, Tableau, QuickSight). Strong understanding of data governance, metadata management, and data quality principles. Experience in designing and implementing star schema and snowflake schema and ER models. Proficiency in data analysis, including requirement gathering and stakeholder communication. Familiarity with ETL processes and tools like Erwin. Ability to work with large datasets and optimize performance. Strong problem-solving and analytical skills. Preferred Qualifications: Experience with Python other scripting languages for data analysis. Knowledge of data cataloging tools and data lineage tracking. AWS certifications (e.g., AWS Certified Data Analytics, AWS Solutions Architect) are a plus. Experience in Agile development methodologies. Experience in working on AWS infrastructure.

Job Summary: We are looking for an experienced and motivated SEO Specialist who excels in Technical SEO , On-page SEO , and Off-page SEO . This individual will work closely with the Development and Infra teams to implement best practices for SEO across the entire website. The ideal candidate will have a deep understanding of website design, HTML/CSS coding, site architecture, and how these factors relate to SEO. A strong knowledge of pay-per-click (PPC) strategies and the ability to improve website performance and speed is essential. Key Responsibilities: 1. Technical SEO: Conduct thorough technical SEO audits of the website and implement required changes (fix crawl issues, structured data, internal linking, site architecture, canonical tags, etc.). Collaborate with the development and infra teams to optimize and troubleshoot technical SEO elements such as: Crawlability and Indexability : Ensuring search engines can crawl and index all critical pages, no blocking of essential pages (robots.txt, noindex tags, and nofollow tags). Site Architecture & URL Structure : Design logical website structure and optimize URL parameters to enhance user experience and SEO. XML Sitemaps : Ensure XML sitemaps are optimized for search engines. Mobile-First Optimization : Ensure the website is mobile-friendly and complies with mobile-first indexing requirements. Page Speed Optimization : Diagnose and resolve page speed issues by working with developers to optimize page loading times, minimize JavaScript/CSS, and implement lazy loading and server-side improvements. Core Web Vitals Optimization : Monitor and improve key user experience metrics like LCP, FID, and CLS. HTTPS Implementation : Ensure the entire website is served over HTTPS, promoting security and SEO ranking benefits. Redirects & Canonicalization : Correct any redirect issues and manage canonical tags for duplicate content management. Schema Markup : Implement and maintain structured data (schema.org) to improve rich snippet appearance in search results. 2. On-page SEO: Conduct keyword research to identify opportunities for optimizing existing content and developing new content. Implement on-page SEO best practices, including meta tags (title, description), headings (H1, H2, etc.), image optimization (alt tags, file sizes), internal linking structure, and URL optimization. Improve content quality by ensuring proper keyword density, semantic optimization, and user engagement. Optimize landing pages for search engines and conversions by collaborating with the marketing team to align content with SEO objectives. 3. Off-page SEO: Develop and execute off-page SEO strategies to increase domain authority through link-building efforts, outreach, and partnerships. Analyze competitor backlink profiles and identify new opportunities. Monitor backlink health and disavow harmful links as needed. Implement local SEO tactics where applicable to increase local business visibility. 4. PPC Management: Manage and optimize Google Ads (PPC) campaigns to drive traffic and conversions. Collaborate with the marketing team to ensure the PPC strategy aligns with SEO efforts and broader digital marketing goals. Monitor and optimize keyword performance, ad copies, and landing pages for improved campaign performance. 5. Collaboration with Development & Infra Teams: Work with the development and infrastructure teams to ensure SEO changes can be implemented effectively without disrupting website performance or usability. Ensure the seamless deployment of technical SEO updates, especially during site migrations or redesigns. Be proactive in identifying and solving technical challenges that could impact SEO. 6. Reporting and Analytics: Use analytics tools (Google Analytics, Search Console, etc.) to monitor and report SEO performance, traffic, rankings, and other key metrics. Provide actionable insights and recommendations based on data to improve overall SEO performance. Set up dashboards for tracking KPIs, including but not limited to organic traffic, bounce rate, conversions, CTR, and rankings. Required Skills & Qualifications: Experience : 3+ years of proven experience in Technical SEO , On-page SEO , and Off-page SEO . Strong understanding of HTML , CSS , and website development technologies . Hands-on experience with SEO tools like Google Search Console , Google Analytics , SEMrush , Ahrefs , Screaming Frog , etc. In-depth knowledge of PPC (Pay-per-click) , particularly Google Ads. Experience with schema markup , rich snippets, and structured data. Strong knowledge of Core Web Vitals and strategies to improve them. Expertise in page speed optimization , working with developers to ensure a fast, efficient site. Understanding of website architecture and the ability to work closely with DevOps and Infra teams . Ability to implement technical fixes like redirects, canonical tags, and handling site migration. Strong analytical skills, with the ability to make data-driven decisions. Ability to communicate SEO findings and strategies clearly with cross-functional teams. Detail-oriented with a commitment to quality and continual improvement. Desired Skills: Knowledge of JavaScript SEO and working with single-page applications (SPA). Familiarity with server-side optimizations (e.g., CDN configurations, caching, etc.). Experience with WordPress , Shopify , or other CMS platforms and implementing SEO best practices within those platforms. Knowledge of A/B testing and conversion rate optimization (CRO) techniques.

Your Roles & Responsibilities Develop, test and support future-ready data solutions for customers across industry verticalsDevelop, test, and support end-to-end batch and near real-time data flows/pipelinesDemonstrate understanding in data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum of 2+ years of related experience required Experience in modeling and business system designs Good hands-on experience on DataStage, Cloud based ETL Services Have great expertise in writing TSQL code Well versed with data warehouse schemas and OLAP techniques Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate Must be a strong team player/leader Ability to lead Data transformation project with multiple junior data engineers Strong oral written and interpersonal skills for interacting and throughout all levels of the organization. Ability to clearly communicate complex business problems and technical solutions.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Cassandra Database Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Candidate needs to have mandatory exp. of DataStax Roles & Responsibilities:Mandatory skill DataStaxThe DataStax administrator role involves setting up the cluster, optimization of the read and write data, copying data from other file systems and the role requires 24/7 supportInstall, configure and upgrade DataStax Cassandra DBMS on multiple environments.Design and implement Cassandra data models, schemas, and resource plans.Monitor and maintain the performance, health, and security of Cassandra clusters. Troubleshoot and resolve database-related issues, including performance bottlenecks, data inconsistencies, and software bugs.Implement backup and recovery strategies, ensuring data integrity and minimizing downtime.The DataStax administrator role involves setting up the cluster, optimization of the read and write data, copying data from other file systems. Stay updated with DataStax and Cassandra releases, new features, security patches, and industry best practices Professional & Technical Skills:9+ Years of experience in handling NoSQL databaseStrong knowledge of the DataStax Enterprise (DSE) platform, Cassandra architecture, and NoSQL concepts. Proficient in installing, configuring, and troubleshooting DataStax Enterprise (DSE) Cassandra clusters. Familiarity with Linux/Unix systems and Shell scripting. DataStax architecture and hands-on administration experience Maintenance of DataStax No SQL DatabaseExperience with Backup and restore/Recover strategies.Strong database administration experience specifically using Cassandra Performance tuning of Cassandra clusters to support high read/write throughput while minimizing latency. Additional Information:Good to have Knowledge on any other database technologies (MSSQL, ORACLE, Postgre, Redis and DB2) Qualifications 15 years full time education

You Lead the Way. We ve Got Your Back. At American Express, you ll be recognized for your contributions, leadership, and impact every colleague has the opportunity to share in the company s success. Together, we ll win as a team, striving to uphold our company values and powerful backing promise to provide the world s best customer experience every day. And we ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and lets lead the way together. Responsibilities include, but not limited to: The Ideal candidate will be responsible for Designing, Developing and maintaining data pipelines. Serving as a core member of an agile team that drives user story analysis and elaboration, designs and develops responsive web applications using the best engineering practices You will closely work with data scientists, analysts and other partners to ensure the flawless flow of data. You will be Building and optimize reports for analytical and business purpose. Monitor and solve data pipelines issues to ensure smooth operation. Implementing data quality checks and validation process to ensure the accuracy completeness and consistency of data Implementing data governance policies , access controls , and security measures to protect critical data and ensure compliance. Developing deep understanding of integrations with other systems and platforms within the supported domains. Bring a culture of innovation, ideas, and continuous improvement. Challenging status quo, demonstrate risk taking, and implement creative ideas Lead your own time, and work well both independently and as part of a team. Adopt emerging standards while promoting best practices and consistent framework usage. Work with Product Owners to define requirements for new features and plan increments of work. Minimum Qualifications BS or MS degree in computer science, computer engineering, or other technical subject area or equivalent 0 to 3 years of work experience At least 1 to 3 years of hands-on experience with SQL, including schema design, query optimization and performance tuning. Experience with distributed computing frameworks like Hadoop, Hive, Spark for processing large scale data sets. Proficiency in any of the programming language python, pyspark for building data pipeline and automation scripts. Understanding of cloud computing and exposure to Big Query and Airflow to execute DAGs. knowledge of CICD, GIT commands and deployment process. Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues and optimize data processing workflows Excellent communication and collaboration skills. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. Your primary responsibilities include: Comprehensive Feature Development and Issue Resolution: Working on the end to end feature development and solving challenges faced in the implementation. Stakeholder Collaboration and Issue Resolution: Collaborate with key stakeholders, internal and external, to understand the problems, issues with the product and features and solve the issues as per SLAs defined. Continuous Learning and Technology Integration: Being eager to learn new technologies and implementing the same in feature development. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise End to End functional knowledge of the data pipeline/transformation implementation that the candidate has done, should understand the purpose/KPIs for which data transformation was done. Expert in SQL can do data analysis and investigation using Sql queriesImplementation Knowledge Advance Sql functions like Regular Expressions, Aggregation, Pivoting, Ranking, Deduplication etc. BigQuery and BigQuery Transformation (using Stored Procedures) Data modelling concepts Star & Snowflake schemas, Fact & Dimension table, Joins, Cardinality etc Preferred technical and professional experience Stay updated with the latest trends and advancements in cloud technologies, frameworks, and tools. Conduct code reviews and provide constructive feedback to maintain code quality and ensure adherence to best practices. Troubleshoot and debug issues, and deploy applications to the cloud platform

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the worlds technology leader. Come to IBM and make a global impact! IBMs Cloud Services are focused on supporting clients on their cloud journey across any platform to achieve their business goals. It encompasses Cloud Advisory, Architecture, Cloud Native Development, Application Portfolio Migration, Modernization, and Rationalization as well as Cloud Operations Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise End to End functional knowledge of the data pipeline/transformation implementation that the candidate has done, should understand the purpose/KPIs for which data transformation was done. Expert in SQL can do data analysis and investigation using Sql queriesImplementation Knowledge Advance Sql functions like Regular Expressions, Aggregation, Pivoting, Ranking, Deduplication etc.BigQuery and BigQuery Transformation (using Stored Procedures) Data modelling concepts Star & Snowflake schemas, Fact & Dimension table, Joins, Cardinality etc GCP Services related to data pipelines like Workflow, Cloud Composer, Cloud Schedular, Cloud Storage etc Preferred technical and professional experience Stay updated with the latest trends and advancements in cloud technologies, frameworks, and tools. Conduct code reviews and provide constructive feedback to maintain code quality and ensure adherence to best practices. Troubleshoot and debug issues, and deploy applications to the cloud platform

Responsibilities Develop, test and support future-ready data solutions for customers across industry verticals.Develop, test, and support end-to-end batch and near real-time data flows/pipelines.Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Graduate with a minimum of 5+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

Responsibilities Develop, test and support future-ready data solutions for customers across industry verticals Develop, test, and support end-to-end batch and near real-time data flows/pipelines Demonstrate understanding in data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum of 5+ years of related experience required Experience in modeling and business system designs Good hands-on experience on DataStage, Cloud based ETL Services Have great expertise in writing TSQL code Well versed with data warehouse schemas and OLAP techniques Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate Must be a strong team player/leader Ability to lead Data transformation project with multiple junior data engineers Strong oral written and interpersonal skills for interacting and throughout all levels of the organization. Ability to clearly communicate complex business problems and technical solutions.

Responsibilities Develop, test and support future-ready data solutions for customers across industry verticals Develop, test, and support end-to-end batch and near real-time data flows/pipelines Demonstrate understanding in data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum of 5+ years of related experience required Experience in modeling and business system designs Good hands-on experience on DataStage, Cloud based ETL Services Have great expertise in writing TSQL code Well versed with data warehouse schemas and OLAP techniques Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate Must be a strong team player/leader Ability to lead Data transformation project with multiple junior data engineers Strong oral written and interpersonal skills for interacting and throughout all levels of the organization. Ability to clearly communicate complex business problems and technical solutions.

Responsibilities Develop, test and support future-ready data solutions for customers across industry verticals.Develop, test, and support end-to-end batch and near real-time data flows/pipelines.Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Graduate with a minimum of 5+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

Responsibilities Develop, test and support future-ready data solutions for customers across industry verticals.Develop, test, and support end-to-end batch and near real-time data flows/pipelines.Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Graduate with a minimum of 5+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

Responsibilities Title- BI Developer Your Roles & Responsibilities Design, develop, test, and support dynamic, interactive, and responsive data visualizations using Power BI and DAX Developing and executing SQL scripts for data modelling Collaborate with data analysts and business stakeholders to identify business requirements, design data visualizations, and develop reports that meet their needs Demonstrate understanding in data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies Communicate risks and ensure understanding of these risks. Required Professional and Technical Expertise: Minimum of 2+ years of related experience required Experience in Production grade Power BI dashboards with optimized data modeling Good hands-on experience of complex SQL, DAX based data modeling Experience with data visualization best practices, including storytelling, color theory, and human-centered design. Ability to clearly communicate complex business problems and technical solutions. Well versed with data warehouse schemas and OLAP techniques Preferred Professional and Technical Expertise : Ability to manage and make decisions about competing priorities and resources. Must be a strong team player/leader Strong oral written and interpersonal skills for interacting and throughout all levels of the organization. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum of 2+ years of related experience required Experience in Production grade Power BI dashboards with optimized data modeling Good hands-on experience of complex SQL, DAX based data modeling Experience with data visualization best practices, including storytelling, color theory, and human-centered design. Ability to clearly communicate complex business problems and technical solutions. Well versed with data warehouse schemas and OLAP techniques Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Must be a strong team player/leader Strong oral written and interpersonal skills for interacting and throughout all levels of the organization.

Responsibilities . Develop, test and support future-ready data solutions for customers across industry verticals. Develop, test, and support end-to-end batch and near real-time data flows/pipelines. Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate with a minimum of 5+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

Responsibilities Design, develop, test, and maintain complex software programs, including modules, features, and components, while ensuring alignment with project specifications. Gather and evaluate software project requirements, communicate effectively with stakeholders, and troubleshoot complex software issues to recommend or implement solutions. Collaborate with management to plan, schedule, and assign projects to development teams, ensuring timely delivery and resource optimization. Participate in design and code reviews, interact with the Quality Assurance team, and contribute to test procedures to ensure system quality, performance, and reliability. Write and maintain technical documentation, provide input for user documentation, and review materials for technical accuracy and completeness Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 3-5 years of experience developing web applications using Angular, HTML, CSS and NodeJS/ExpressJS/NestJS backend Strong understanding of front-end technologies, including HTML5, CSS3, and responsive design. Proficiency in Angular framework and its core principles. Proficiency in JavaScript, TypeScript, and ES6+. Experience in developing RESTful APIs with Node.js and Express.js. Hands-on experience with MongoDB, including schema design and aggregation framework. Preferred technical and professional experience Proficiency in software development tools and methods, related software languages, test design, configuration, and integration with systems, applications, products, and services. Strong written and verbal communication skills. Ability to test, analyze data, and provide actionable recommendations. Proven organizational skills, with the ability to prioritize tasks effectively and provide guidance to less experienced team members. Expertise in debugging and troubleshooting issues related to memory, performance, battery usage, and network optimization.

Responsibilities Design, develop, test, and support dynamic, interactive, and responsive data visualizations using Power BI and DAX Developing and executing SQL scripts for data modelling Collaborate with data analysts and business stakeholders to identify business requirements, design data visualizations, and develop reports that meet their needs Demonstrate understanding in data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies Communicate risks and ensure understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum of 2+ years of related experience required Experience in Production grade Power BI dashboards with optimized data modeling Good hands-on experience of complex SQL, DAX based data modeling Experience with data visualization best practices, including storytelling, color theory, and human-centered design. Ability to clearly communicate complex business problems and technical solutions. Well versed with data warehouse schemas and OLAP techniques Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Must be a strong team player/leader Strong oral written and interpersonal skills for interacting and throughout all levels of the organization.

Responsibilities Develop, test and support future-ready data solutions for customers across industry verticals Develop, test, and support end-to-end batch and near real-time data flows/pipelines Demonstrate understanding in data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum of 2+ years of related experience required Experience in modeling and business system designs Good hands-on experience on DataStage, Cloud based ETL Services Have great expertise in writing TSQL code Well versed with data warehouse schemas and OLAP techniques Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate Must be a strong team player/leader Ability to lead Data transformation project with multiple junior data engineers Strong oral written and interpersonal skills for interacting and throughout all levels of the organization. Ability to clearly communicate complex business problems and technical solutions.

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Microsoft SQL Server Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary:As a Software Development Engineer, you will analyze, design, code, and test multiple components of application code across one or more clients. You will perform maintenance, enhancements, and/or development work. Your typical day will involve analyzing requirements, designing software solutions, writing code, and conducting testing to ensure the quality of the application. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Collaborate with cross-functional teams to gather and analyze requirements.- Design, develop, and maintain software applications using Microsoft SQL Server.- Write efficient and high-quality code to implement software solutions.- Perform unit testing and debugging to ensure the functionality and performance of the application.- Participate in code reviews to ensure adherence to coding standards and best practices.- Provide technical support and troubleshooting for application issues. Professional & Technical Skills:- Must To Have Skills:Proficiency in Microsoft SQL Server.- Strong understanding of database concepts and SQL query optimization.- Experience in designing and developing database schemas, tables, and stored procedures.- Knowledge of performance tuning techniques to optimize database performance.- Experience with version control systems such as Git or SVN. Additional Information:- The candidate should have a minimum of 3 years of experience in Microsoft SQL Server.- This position is based in Mumbai.- A 15 years full-time education is required. Qualifications 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP HCM Personnel Administration Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary:As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills:- Must To Have Skills:Proficiency in SAP HCM Personnel Administration and have S4 Hana Implementation project work experience- Strong understanding of SAP HCM Personnel Administration- Experience in designing and configuring SAP HCM Personnel Administration modules- Knowledge of SAP HCM Personnel Administration best practices- Experience in leading application development projects Additional Information:- The candidate should have a minimum of 5 years of experience in SAP HCM Personnel Administration- This position is based at our Hyderabad office- A 15 years full-time education is required Qualifications 15 years full time education

Job Title Java + Springboot Senior Developer Responsibilities Analyzing user requirements, envisioning system features and functionality. Design, build, and maintain efficient, reusable, and reliable Java codes by setting expectations and features priorities throughout development life cycle Identify bottlenecks and bugs, and recommend system solutions by comparing advantages and disadvantages of custom development Contributing to team meetings, troubleshooting development and production problems across multiple environments and operating platforms Understand Architecture Requirements and ensure effective Design, Development, Validation and Support activities Technical and Professional Requirements: Java, Springboot, Microservices, JSP, JDBC, J2EE, Struts, Spring, Hibernate Preferred Skills: Technology->Java->Java - ALL Technology->Mainframe Technologies->COBOL->MF COBOL Technology->Java->Springboot Technology->Full stack->.Net Full stack->Frontend(Angular)+Enterprise layer(.NET)+DB Additional Responsibilities: Min. 3 years of relevant experience In-depth knowledge of design issues and best practices Solid understanding of object-oriented programming Familiar with various design, architectural patterns and software development process. Experience with both external and embedded databases Creating database schemas that represent and support business processes Implementing automated testing platforms and unit tests Educational Requirements Master Of Engineering,Master Of Technology,Bachelor Of Comp. Applications,Bachelor of Engineering,Bachelor Of Technology Service Line Application Development and Maintenance * Location of posting is subject to business requirements

As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. Your primary responsibilities include: Comprehensive Feature Development and Issue Resolution: Working on the end to end feature development and solving challenges faced in the implementation. Stakeholder Collaboration and Issue Resolution: Collaborate with key stakeholders, internal and external, to understand the problems, issues with the product and features and solve the issues as per SLAs defined. Continuous Learning and Technology Integration: Being eager to learn new technologies and implementing the same in feature development. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise End to End functional knowledge of the data pipeline/transformation implementation that the candidate has done, should understand the purpose/KPIs for which data transformation was done. Expert in SQL can do data analysis and investigation using Sql queriesImplementation Knowledge Advance Sql functions like Regular Expressions, Aggregation, Pivoting, Ranking, Deduplication etc. BigQuery and BigQuery Transformation (using Stored Procedures) Data modelling concepts Star Snowflake schemas, Fact Dimension table, Joins, Cardinality etc Preferred technical and professional experience Stay updated with the latest trends and advancements in cloud technologies, frameworks, and tools. Conduct code reviews and provide constructive feedback to maintain code quality and ensure adherence to best practices. Troubleshoot and debug issues, and deploy applications to the cloud platform

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : AWS Redshift Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary:As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will collaborate with the team to ensure successful project delivery and contribute to key decisions. Your typical day will involve designing and implementing application solutions, troubleshooting issues, and providing support to the team. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Design and implement application solutions- Troubleshoot and resolve application issues- Provide support and guidance to the team Professional & Technical Skills:- Must To Have Skills:Proficiency in AWS Redshift- Strong understanding of data warehousing concepts- Experience with ETL processes and tools- Hands-on experience with SQL and database management- Experience with data modeling and schema design Additional Information:- The candidate should have a minimum of 5 years of experience in AWS Redshift- This position is based in Pune- A 15 years full-time education is required Qualifications 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Snowflake Data Warehouse Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : Equivalent Qualification Summary:As an Application Developer in the Data Engineering team, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will play a crucial role in developing efficient and scalable solutions to support data processing and analysis. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Collaborate with cross-functional teams to gather requirements and understand business needs.- Design and develop applications using Snowflake Data Warehouse to ensure efficient data processing and analysis.- Implement data integration and ETL processes to extract, transform, and load data into the Snowflake Data Warehouse.- Optimize and tune the performance of applications and queries to ensure optimal data processing.- Troubleshoot and debug application issues, providing timely resolutions and enhancements.- Stay updated with the latest industry trends and technologies to continuously improve application development practices. Professional & Technical Skills:- Must To Have Skills:Proficiency in Snowflake Data Warehouse.- Strong understanding of data engineering concepts and principles.- Experience in designing and developing applications using Snowflake Data Warehouse.- Hands-on experience with SQL and database management systems.- Familiarity with data modeling and schema design.- Knowledge of data integration and ETL processes.- Experience in performance tuning and optimization of applications and queries.- Excellent problem-solving and debugging skills. Additional Information:- The candidate should have a minimum of 3 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- An Equivalent Qualification is required. Qualifications Equivalent Qualification