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 : Microsoft Dynamics CRM Technical Good to have skills : NAMinimum 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. Your day will involve overseeing the application development process and ensuring seamless communication among team members and stakeholders. 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 application development process effectively- Ensure timely delivery of projects- Provide technical guidance and support to team members Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Dynamics CRM Technical- Strong understanding of CRM systems- Experience in customizing and configuring Microsoft Dynamics CRM- Knowledge of CRM integration with other systems- Hands-on experience in troubleshooting and issue resolution Additional Information:- The candidate should have a minimum of 5 years of experience in Microsoft Dynamics CRM Technical- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Skillsets- SQL or PLSQL or ETL or DWH or PowerBI. Data warehouse is not mandatory. But should be really good in SQL, Postgre SQL . F2F interview at Kochi Only Kerala candidates

Locations - Pune/Bangalore/Hyderabad/Indore Contract duration- 6 months Responsibilities Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms. Implement business and IT data requirements through new data strategies and designs across all data platforms (relational & dimensional - MUST and NoSQL-optional) and data tools (reporting, visualization, analytics, and machine learning). Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks. Must have Payments Background Skills Hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required. Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. Experience in team management, communication, and presentation. Experience with Erwin, Visio or any other relevant tool.

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 6 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala; Minimum 3 years of experience on Cloud Data Platforms on Azure; Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Good to excellent SQL skills Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers

6+ years of industry work experience Experience extracting data from a variety of sources, and a desire to expand those skills Worked on Google Looker tool Worked on Big Query and GCP technologies Strong SQL and Spark knowledge Excellent Data Analysis skills. Must be comfortable with querying and analyzing large amount of data on Hadoop HDFS using Hive and Spark Knowledge of Financial Accounting is a bonus Work independently with cross functional team and drive towards the resolution Experience with Object oriented programming using python and its design patterns Experience handling Unix systems, for optimal usage to host enterprise web applications GCP certifications preferred. Payments Industry Background good to have Candidate who has been part to google Cloud Migration is an ideal Fit Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 3-5 years of experience Intuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications Preferred technical and professional experience 6+ years of industry work experience Experience extracting data from a variety of sources, and a desire to expand those skills Worked on Google Looker tool

6+ years of industry work experience Experience extracting data from a variety of sources, and a desire to expand those skills Worked on Google Looker tool Worked on Big Query and GCP technologies Strong SQL and Spark knowledge Excellent Data Analysis skills. Must be comfortable with querying and analyzing large amount of data on Hadoop HDFS using Hive and Spark Knowledge of Financial Accounting is a bonus Work independently with cross functional team and drive towards the resolution Experience with Object oriented programming using python and its design patterns Experience handling Unix systems, for optimal usage to host enterprise web applications GCP certifications preferred. Payments Industry Background good to have Candidate who has been part to google Cloud Migration is an ideal Fit Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 3-5 years of experience Intuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications Preferred technical and professional experience 6+ years of industry work experience Experience extracting data from a variety of sources, and a desire to expand those skills Worked on Google Looker tool

Designing and Coding Rules and Coding Rulesets Preparing Alert Workflows and Routing Policies Developing and carrying out tests on Actimize IFM/RB4 platform components Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 2-3 years of experience in implementing NICE Actimize solutions for Fraud Management 2-3 years of experience in designing and implementing enterprise solutions using Java technologies Strong knowledge of UI development JSP, HTML Preferred technical and professional experience Strong knowledge of UI development JSP, HTML Experience of test-driven development with Junit Strong knowledge of web services WSDL Soap, Restful

Generate CPG business insights and reports using Excel, PowerPoint and PowerBI. Develop and maintain Power BI reports, dashboards, and visualizations that provide meaningful insights to stakeholders Create comprehensive content and presentations to support business decisions and strategies. Extract and analyze data from NIQ, Circana, Spins, and other relevant sources. Work with cross-functional teams to develop and implement data-driven solutions, including data visualizations, reports, and dashboards. Manage analytics projects and work streams, and build dashboards and reports Provide expert-level support to stakeholders on analytics and data visualization Present findings and recommendations to stakeholders in a clear and concise manner. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise B. Tech, Bachelor's or Master's degree in Computer Science, Science, or relevant education. 4-6 years of experience in data analysis or a related field. Proficiency in MS Fabric, PowerBI, SQL, Excel, and experience with NIQ, Circana, and Spins. Preferred technical and professional experience Strong analytical skills and attention to detail. Excellent communication and presentation abilities. Ability to manage multiple tasks and meet deadlines. Experience in the CPG industry is preferred.

As a Consultant you will serve as a client-facing practitioner who sells, leads and implements expert services utilizing the breadth of IBM's offerings and technologies. A successful Consultant is regarded by clients as a trusted business advisor who collaborates to provide innovative solutions used to solve the most challenging business problems. You will work on projects that help clients integrate strategy, process, technology, and information to increase effectiveness, reduce costs and improve profit and shareholder value. You can take advantage of opportunities to master new skills, work across different disciplines, move into new challenges and develop a robust understanding of different industries Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4-12 Years of SAP Functional experience specializing in design and configuration of SAP modules using PI. SAP Cloud Integration - PI, Groovy. The consultant should have extensive experience in SCP (SAP Cloud Platform) technologies (APIM, PI, DI) and they will be involved in the migration work (BizTalk/SSIS to SCP-PI) Ability to integrate Cloud applications with On Premise applications and Cloud with Cloud expertise You should have at least one HANA Cloud Integration (HCI) project experience Experience in Groovy Script, Java, XSLT, XML and Web Services experience is required . Demonstrable experience in using PI/PO tools (mapping tools/editors) and proficient in different mapping styles (Graphical Mapping, Java Mapping, XSLT Mapping) and Interfaces using at least Advanced Adapter Engine (AAE) in PI 7.1 Ehp1. Experience in CICD preferred Preferred technical and professional experience Since our current integrations are developed in BizTalk 2020 (EAI) and SSIS (ETL) with .net code behind the scene, it is desirable to have these skills (not mandatory) on XML, XSLT, .Net are the technologies used in BizTalk 2020. Exposure to APIM is desirable (not mandatory

As an Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Design and implement efficient database schemas and data models using Teradata. Optimize SQL queries and stored procedures for performance. Perform database administration tasks including installation, configuration, and maintenance of Teradata systems Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Designing and Coding Rules and Coding Ruleset Preparing Alert Workflows and Routing Policies Developing and carrying out tests on Actimize IFM/RB4 platform components Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 2-3 years of experience in implementing NICE Actimize solutions for Fraud Management 2-3 years of experience in designing and implementing enterprise solutions using Java technology Strong knowledge of UI development JSP, HTML Preferred technical and professional experience Strong knowledge of UI development JSP, HTML Experience of test-driven development with Junit Strong knowledge of web services WSDL Soap, Restful

Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total Exp-6-7 Yrs (Relevant-4-5 Yrs) Mandatory Skills: Azure Databricks, Python/PySpark, SQL, Github, - Azure Devops - Azure Blob Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed. Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and Java Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise seach applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total Exp-6-7 Yrs (Relevant-4-5 Yrs) Mandatory Skills: Azure Databricks, Python/PySpark, SQL, Github, - Azure Devops - Azure Blob Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed. Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and Java Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Join us as a MSSQL Database-Site Reliability Engineer at Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. Youll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a MSSQL Database-Site Reliability Engineer you should have experience with: Experience with setup/configuration/support of SQL Server 2014, 2016, 2017, 2019, 2022. Proven track record of implementing and leading SRE practices across large organizations or complex teams. Expert-level knowledge of telemetry, monitoring, and platform observability tooling (e. g. ESAAS etc) with experience in customizing and scaling these solutions. Experience in implementing modern DevOps and SRE practices in enterprise environments. Proven expertise in SQL query optimization and database performance tuning at scale. Experience with DevOps automation tools such as Code versioning (git), JIRA, Ansible, Containers and Kubernetes , database CI/CD tools and their implementation. Hands-on as DevOps on Ansible, Powershell, T SQL coding. Experience configuring and all components of the MS SQL set Core DB engine and SSRS, SSAS, SSIS, Replication topologies, AlwaysOn, Service Broker, Log Shipping, Database Snapshots etc and Windows Clustering. Must have extensive experience as Production support SQL Server DBA - strong experience in large, high volume and high criticality environments. Database maintenance and troubleshooting. Must exhibit in-depth expertise in solving database contention problems (dead locks, blocking etc). Demonstrate extensive expertise in performance tuning including both query and server optimization. Expert knowledge of backup and recovery. Good knowledge on PowerShell scripting. The resource would be handling major escalated incidents, complex problem record. This includes periodic review of systems, capacity management, on boarding new services, patching coordination maintain good health of these. Take responsibility for completing tasks, focusing on requirements and planning to meet client needs, which the job holder helps to identify, advise and recommend technical solutions based on experience and Industry knowledge. Driving Automations agenda - Identifying the possibility of automation in database area and work to deliver it. Some other highly valued skills may include: Desirable experience on database automation will be preferred. Strong skills in designing and delivering platforms to hosts SQL server, covering HA and DR, at Enterprise scale. Experience with tape backup tools like TSM/TDP/DDBoost/BoostFs/Rubrik etc. Knowledge of the ITIL framework, vocabulary and best practices. Understanding of Cloud Based Computing particularly RDS\\Azure. Expert in system configuration management tools such as Chef, Ansible for database server configurations. Expert expertise with scripting languages (e. g. PowerShell) for automation/migration tasks. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Chennai. Purpose of the role To apply software engineering techniques, automation, and best practices in incident response, to ensure the reliability, availability, and scalability of the systems, platforms, and technology through them. Accountabilities Availability, performance, and scalability of systems and services through proactive monitoring, maintenance, and capacity planning. Resolution, analysis and response to system outages and disruptions, and implement measures to prevent similar incidents from recurring. Development of tools and scripts to automate operational processes, reducing manual workload, increasing efficiency, and improving system resilience. Monitoring and optimisation of system performance and resource usage, identify and address bottlenecks, and implement best practices for performance tuning. Collaboration with development teams to integrate best practices for reliability, scalability, and performance into the software development lifecycle, and work closely with other teams to ensure smooth and efficient operations. Stay informed of industry technology trends and innovations, and actively contribute to the organizations technology communities to foster a culture of technical excellence and growth. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc). to solve problems creatively and effectively. Communicate complex information. Complex information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes.

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour’s. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong experience in SQL. Strong experience in DBT. Strong experience in Data warehousing concepts. Strong experience in AWS or any other Cloud knowledge. Redshift is good to have Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise We are seeking a skilled Azure Data Engineer with 5+ years of experience Including 3+ years of hands-on experience with ADF/Databricks The ideal candidate Data bricks,Data Lake, Phyton programming skills. The candidate will also have experience for deploying to data bricks. Familiarity with Azure Data Factory Preferred technical and professional experience Good communication skills. 3+ years of experience with ADF/DB/DataLake. Ability to communicate results to technical and non-technical audiences

Job Title: Power BI Developer Location: Mumbai, Pune, Chennai, Bengaluru, Gurugram, Noida Experience: 4-7 Years Job Type: Fulltime/Hybrid Job Summary: We are looking for a skilled and detail-oriented Power BI Developer to join our analytics and data visualization team. The ideal candidate will have hands-on experience in designing and developing insightful, high-performance dashboards, reports, and KPIs using Microsoft Power BI and related BI tools. You will play a key role in transforming data into valuable business insights and delivering top-tier analytics solutions to stakeholders. Key Responsibilities: Design and develop interactive reports, dashboards, and KPI scorecards using Power BI Desktop . Build tabular and multidimensional models aligned with data warehouse standards. Develop Analysis Services (SSAS) reporting models. Connect to various data sources, import and transform data using Power Query/M , DAX , and Power BI tools. Implement row-level security and understand application security models within Power BI. Perform advanced DAX calculations for data manipulation and insight generation. Optimize Power BI performance and troubleshoot dashboard/report issues. Translate business needs into data-driven reports and visual storytelling . Ensure data governance, quality, and security best practices. Document design methodology, technical specifications, and project deliverables. Work collaboratively with UX/UI teams to design user-friendly dashboards. Engage with business stakeholders to gather requirements and deliver analytics solutions. Analyze large datasets and present actionable insights to client teams. Mandatory Skills & Experience: 4-7 years of experience in Power BI report development and BI roles. Strong knowledge of SQL , query performance tuning, and data modeling . Proven experience with Microsoft BI Stack - Power BI, SSAS, SSRS, SSIS. Experience with BI tools like Tableau and SAP BusinessObjects. Solid understanding of relational and multidimensional database design . Familiarity with the full Power BI ecosystem: Power BI Premium, Power BI Service, Power BI Server, Power Query , etc. Strong analytical thinking, problem-solving , and attention to detail. Excellent communication skills for stakeholder interaction and requirements gathering. Experience handling large datasets/data warehouses for analysis. Comfortable creating reports from wireframes and functional requirements . Strong business acumen and ability to derive insights that incite action. Nice to Have (Preferred): Experience working with Microsoft Azure , Synapse Analytics , and integration with Tableau. Understanding of ETL processes , data pipeline architecture , and data warehousing on Azure. Experience in distributed systems for data extraction, ingestion, and processing at scale. Knowledge of presentation tools and the ability to create executive-level presentations . Soft Skills: Resilient under pressure and deadlines. Proactive, self-driven attitude with strong ownership. Excellent team collaboration and communication. Client-focused mindset with a desire to grow in a dynamic environment. How to Apply: Please submit your resume, portfolio (if any), and a brief note on your relevant experience to https: / / fractal.wd1.myworkdayjobs.com / Careers / job / Bengaluru / Power-BI-Developer_SR-32723-1

Develop PowerBI report in azure environment. Write/Manage basic SQL/PLSQL scripts for the report. Maintain and optimize the PowerBI gateway. PowerBI expert to propose improvements, best practices on the overall Azure PowerBI.(environment/setup, new/existing reports, best practices, support, monitoring etc.).

Bachelors Degree plus at least 5-7 years of experience with minimum 3+years in SQL development Strong working knowledge on advanced SQL capabilities like Analytics and Windowing function Working knowledge of 3+ years on some RDBMS database is must have Exposure to Shell scripts for invoking the SQL calls Exposure to the ETL tools would be good to have Working knowledge on Snowflake is good to have Location: Hyderabad, Pune, Bangalore

Candidate should be well versed in Power BI -Advanced Concepts (RLS, Incremental refresh), Power BI Services, Power Automate, Power Apps, Experience & knowledge on Power BI premium license. Ideal candidate should have at least 5 years of experience in building complex power BI dashboards and should have ability to Power BI service-related activities. Developing visual reports, dashboards, and KPI scorecards using Power BI desktop. Knowledge on Connecting multiple data sources, importing data, and transforming data for Business Intelligence. Excellent in analytical thinking for translating data into informative visuals and reports. Extensive experience with M and DAX functions. Able to implement row-level security on data and understand application security layer models in Power BI. Organize large datasets in such a way that actionable insights can be extracted. This may include finding innovative ways to integrate datasets.

Must Have Strong work Experience as a Denodo Administrator Experience in T-SQL programming languages. Experience working in Denodo v 6 and Denodo v 8. Strong knowledge on ITIL Process. Excellent Analytical, Debugging, Communication & Reporting Skills. Good to Havve Knowledge on Clustering & Load Balancing, platform upgrade. Experience in Control-M, Service Now, Azure DevOps. DomainBanking. Roles & Responsibility: RoleDenodo Administrator Responsible for Monitoring, Cache & DB Refresh, DB connection changes, Access provisioning, Proactive Prevention of Disk, Space Issues. Responsible for Automation of Memory & SQL Alerts Excellent communication skill and should work directly with customer. Need to work on Shift to Provide Support

Mandatory Technical skills ETL COGNOS SQL PowerBI Good to have skills: - Reporting Skills HealthRules Payer

We are eagerly seeking candidates with 7 to 14 years experience for a .NET Full stack Developer to join our dynamic team. The ideal candidate will play a pivotal role within the team to who is a skilled professional with exposure to NET, .NET Core, C#, Agile Methodologies, Web Services, SQL, SSIS. You will collaborate with internal teams to design, develop, deploy, and maintain software applications at scale Role: .NET Full stack Developer Location: PAN India Experience: 7 to 14 years Job type: Full time Work type: Hybrid Key skills you will require: Primary Skills Use the latest tools and techniques (.NET, .NET Core, C#, Agile Methodologies, Web Services, SQL, SSIS) In-depth knowledge of JavaScript, CSS, HTML, functional programming, and front-end languages Prepare software for deployment to production environments Respond to and resolve questions and issues logged by users of a live system Manage small projects independently and work as a team member on larger projects Perform other related duties as required and assigned Demonstrate behaviors which are aligned with the organizations desired culture and values Secondary Skills Bachelors degree or equivalent work experience 7+ years of relevant work experience Knowledge of Agile Methodologies, such as Extreme Programming (XP) and Scrum is helpful Experience with relational databases (SQL Server, MySQL, PostgreSQL) Knowledge of design patterns, refactoring and unit testing Experience with Linux and open source software is a plus AWS Environment - EC2, SQS, SNS, Lambda, Containers, API Gateway experience highly preferred Financial services experience, especially related to mortgages and mortgage backed securities, is desirable AI Co-pilot or equivalent AI coding experience

Job Purpose As a member of the Business Intelligence team, the SSIS developer will be responsible for the integration of multiple heterogeneous systems into a SQL Data Warehouse. Main Tasks & Responsibilities Translate business rules into clear and systematic technical/functional requirements. Identify the correct Metrics and KPIs that match business needs. Identify the relevant data sources to produce the correct calculations of all necessary Metrics / KPIs. Design and develop Data Warehouse data models according to the best standards. Design and develop performant and scalable ETL processes considering every relevant stage (staging, cleansing, etc.). Develop reports and dashboards based on business requirements. Perform quality assurance checks over the entire Data Warehouse and Reporting infrastructures and implement/manage its security. Skills & Technical Competences & Behaviors 4+ years of experience in the design and development of Data Warehouse solutions in a MS SQL Server environment. Extensive experience in the development of SSIS packages and T-SQL scripts. Good to have knowledge regarding SSRS and SSAS. Good to have knowledge regarding cloud solutions (Azure SQL, Azure Data Factory, etc.). Exposure to the Power BI framework will be an added advantage. Exposure to other database management systems like MySQL or PostgreSQL will be a plus. Good analytical and problem-solving skills. Effective communication with business stakeholders and team members. Ability to work independently and as part of a team. Ability to handle multiple tasks simultaneously. Open to learn new BI skills. English proficiency (written and spoken).

Create and execute a strategic sales plan that expands customer base and extends global reach. Establish relationships with new and existing customers and secure new business in the assigned portfolio element(s) Drive the entire Sales Cycle from initial Customer Engagement till Contract Closing for new customers. For existing customers, Sales Cycle is started by Account Manager Work with Account Managers to ensure that the overall account strategy and goals will be followed and achieved. Maintain a very detailed level of relevant knowledge on the assigned portfolio element(s) in order to have meaningful and relevant conversations with customers and prospects. Work with Pre-Sales Consultant / Technical Architects / Practice Leaders to ensure that we design the right solutions for our customers. Owns the proposal and Statement of Work (SoW) overall and engages pre-sales consultant for more complex content related to the specific practice. Provide feedback to Account Management on ways to decrease the Sales Cycle, enhance Sales, and improve company brand and reputation. Responsible for PL for Big Data Engagements Handling MME and SMB's for Net New Business Cross Sell and Upsell in the existing accounts. Managing Alliance with AWS and Databricks for Data Analytics offerings Creating business development plans and forecasting sales targets and growth projections Meeting existing and potential clients and building positive relationships Understand Sales targets and take initiative to achieve the same. Customer Acquisition Life Cycle Management. Track, analyze, and communicate key quantitative metrics and business trends as they relate to partners and clients. Preparing financial projections and sales targets. Required skills and qualifications: 9+ years of proven sales experience, including 3+ years of experience in solutions selling for Data Analytics BI Tools. Highly motivated and results oriented evidence of consistently exceeding acquisition specific performance metrics. Good knowledge of ETL tools and enterprise data warehouse / data lake solutions. Computer Engineer with MBA Ability and maturity to sell and build relationships and expand on new relationships. Consistently achieved sales goals through your leadership and personal goals. Able to learn new technology quickly, as well as adapt to changing needs. Deep understanding of enterprise sales methodology. Proven record of success with the entire sales cycle, from planning to closing Excellent communication, interpersonal, and organizational skills. Superb leadership ability. Open to travel.