2467 Data Integration Jobs - Page 21

A highly skilled and experienced Adobe RTCDP and Adobe Target Expert is sought to join the team. You should deeply understand RTCDP principles and technologies, with a strong focus on practical implementation and a proven ability to deliver successful outcomes. Your role will involve designing, configuring, and managing the RTCDP solution and implementing personalization activities on the web experience. This includes ensuring seamless data integration, profile unification, audience segmentation, and activation for personalized customer experiences. Your expertise will be crucial in leveraging the platform to drive value for the business through data-driven insights and optimized customer journeys. You will serve as the subject matter expert for Adobe RTCDP, supporting internal teams and stakeholders. Your responsibilities will include designing and implementing RTCDP solutions, ingesting and transforming data from various sources, configuring and managing unified customer profiles, building and activating audience segments, ensuring data governance and compliance, integrating data using RTCDP APIs and SDKs, diagnosing and resolving data-related issues, collaborating with cross-functional teams, sharing best practices, training internal teams, and deploying personalized customer journeys using Adobe Target. What You'll Be Doing: - Serve as the subject matter expert for Adobe RTCDP, supporting internal teams and stakeholders. - Design and implement RTCDP solutions, including data schema creation, identity resolution, audience segmentation, and activation. - Ingest and transform data from various sources into the RTCDP, ensuring quality and compliance. - Configure and manage unified customer profiles by stitching data across multiple channels and touchpoints. - Build and activate audience segments to downstream systems for personalized experiences. - Ensure adherence to data governance, privacy regulations, and security standards. - Use RTCDP APIs and SDKs for integrating data and enabling real-time updates. - Diagnose and resolve issues related to data ingestion, identity resolution, and system performance. - Collaborate with cross-functional teams including marketing, analytics, development, and IT. - Share best practices and train internal teams on optimal RTCDP usage. - Deploy personalized customer journeys and experience activities using Adobe Target. What We'd Love To See: - Bachelor's degree in Computer Science, Data Engineering, Marketing Technology, or a related field. - At least 3 years of hands-on experience with RTCDP implementations. - Demonstrated success in executing at least two end-to-end RTCDP projects. - Deep understanding of data modeling, ingestion, and transformation in a CDP environment. - Proficiency in identity resolution and audience segmentation. - Experience with SQL, Python, or JavaScript for data manipulation and integration. - Working knowledge of APIs, SDKs, and real-time data streaming tools. - Familiarity with data governance frameworks and compliance regulations like GDPR and CCPA. - Strong communication, interpersonal, and analytical skills. - Ability to manage multiple projects independently. It'd Be Great If You Had: - Experience with Adobe Cloud Platform, especially Adobe Experience Platform (AEM) and Adobe Target. - Background in consulting or agency settings with client-facing roles. - Familiarity with marketing automation, analytics, or personalization platforms. - Broader experience with Adobe cloud technologies.,

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. You will work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers, and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each engagement, partnering collaboratively to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage, and passion to drive life-changing impact to ZS. At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems that shape us as individuals and make us unique. Your personal interests, identities, and desire to learn are integral to your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. **What you'll do:** - Design, build, and manage data workflows and pipelines in Dataiku DSS. - Integrate data from multiple sources including AWS, databases, APIs, and flat files. - Collaborate with data engineering and business teams to translate requirements into scalable data solutions. - Implement data validation, error handling, and monitoring processes within Dataiku. - Support model deployment, scheduling, and performance optimization within the Dataiku environment. - Maintain documentation and version control for Dataiku projects and pipelines. **What you'll bring:** - 3+ years of experience in data engineering or analytics development roles. - Hands-on experience with Dataiku DSS, SQL, Python, and data wrangling. - Familiarity with AWS services, APIs, and data integration tools. - Understanding of data quality, pipeline performance optimization, and analytics workflows. **Additional Skills:** - Strong communication skills, both verbal and written, with the ability to structure thoughts logically during discussions and presentations. - Capability to simplify complex concepts into easily understandable frameworks and presentations. - Proficiency in working within a virtual global team environment, contributing to the timely delivery of multiple projects. - Travel to other offices as required to collaborate with clients and internal project teams. **Perks & Benefits:** ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options, internal mobility paths, and collaborative culture empower you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. **Travel:** Travel is a requirement at ZS for client-facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed, providing opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. **Considering applying ** At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. **To Complete Your Application:** Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com,

As a CRM Executive/CRM Administrator at an Educational Institute in Siliguri (North Bengal), you will be responsible for administering and maintaining the institution's CRM system, which may include platforms such as Salesforce, Zoho, Google Meet, and Zoom. Your key responsibilities will involve designing and implementing automation workflows, lead scoring, and student lifecycle journeys. You will ensure seamless CRM integration with other platforms like websites, ERPs, email marketing tools, and student portals. Creating and managing dashboards and custom reports for leadership and admissions teams will be part of your routine tasks. Monitoring lead pipelines, tracking prospect activity, and providing actionable insights will also be crucial. Regular data audits, clean-ups, and backups will be necessary to maintain data integrity. Managing user access, roles, and training across departments will be essential for effective CRM utilization. Collaborating with IT to implement technical improvements, APIs, and third-party plug-ins will be a collaborative effort. Troubleshooting system issues, bugs, and support tickets in coordination with vendors or CRM providers will require your attention to detail and problem-solving skills. To excel in this role, you should possess a Bachelor's degree in Computer Science, Information Technology, or a related technical field. A minimum of 3-4 years of hands-on experience with CRM platforms, preferably in the education sector, is required. Proficiency in CRM customization, workflow automation, and reporting is essential. You should have a working knowledge of APIs, data integration, and cloud platforms. Strong command over Excel, SQL queries, or BI tools like Power BI and Tableau is necessary. Familiarity with HTML, CSS, or JavaScript for email templates or CRM front-end tweaks will be an added advantage. Your ability to translate functional requirements into technical solutions and strong communication skills to bridge technical and non-technical stakeholders will be critical for success in this role. Preferred skills include CRM certifications such as Salesforce Administrator or Zoho CRM Certified Professional, experience with CRM migration or CRM-ERP integration projects, knowledge of education technology platforms like Moodle, Blackboard, or Canvas, and an understanding of data protection laws such as GDPR and FERPA. In summary, as a CRM Executive/CRM Administrator, you will play a pivotal role in optimizing the institution's CRM system to enhance operational efficiency and student engagement. Your technical expertise, problem-solving abilities, and communication skills will be key assets in this dynamic and rewarding position.,

As a Software Engineer - Data Reporting Services at Incedo, you will be responsible for creating reports and dashboards for clients. You will work with clients to understand their reporting needs and design reports and dashboards that meet those needs. You will be skilled in data visualization tools such as Tableau or Power BI and have experience with reporting tasks such as data analysis, dashboard design, and report publishing. Roles & Responsibilities: Design and develop reports and dashboards to help businesses make data-driven decisions. Develop data models and perform data analysis to identify trends and insights. Work with stakeholders to understand their reporting needs and develop solutions that meet those needs. Proficiency in data visualization tools like Tableau, Power BI, and QlikView. Technical Skills Skills Requirements: Strong knowledge of SQL and data querying tools such as Tableau, Power BI, or QlikView Experience in designing and developing data reports and dashboards Familiarity with data integration and ETL tools such as Talend or Informatica Understanding of data governance and data quality concepts Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Nice-to-have skills Qualifications Qualifications 3-5 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Software Engineer - ETL - Python at Incedo, you will be responsible for designing and developing ETL workflows to extract, transform, and load data from various sources to target systems. You will work with data analysts and architects to understand business requirements and translate them into technical solutions. You will be skilled in ETL tools such as Informatica or Talend and have experience in programming languages such as SQL or Python. You will be responsible for writing efficient and reliable code that is easy to maintain and troubleshoot. Roles & Responsibilities: Develop, maintain, and enhance software applications for Extract, Transform, and Load (ETL) processes Design and implement ETL solutions that are scalable, reliable, and maintainable Develop and maintain ETL code, scripts, and jobs, ensuring they are efficient, accurate, and meet business requirements Troubleshoot and debug ETL code, identifying and resolving issues in a timely manner Collaborate with cross-functional teams, including data analysts, business analysts, and project managers, to understand requirements and deliver solutions that meet business needs Design and implement data integration processes between various systems and data sources Optimize ETL processes to improve performance, scalability, and reliability Create and maintain technical documentation, including design documents, coding standards, and best practices. Technical Skills Skills Requirements: Proficiency in programming languages such as Python for writing ETL scripts. Knowledge of data transformation techniques such as filtering, aggregation, and joining. Familiarity with ETL frameworks such as Apache NiFi, Talend, or Informatica. Understanding of data profiling, data quality, and data validation techniques. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Software Engineer - ETL - Python at Incedo, you will be responsible for designing and developing ETL workflows to extract, transform, and load data from various sources to target systems. You will work with data analysts and architects to understand business requirements and translate them into technical solutions. You will be skilled in ETL tools such as Informatica or Talend and have experience in programming languages such as SQL or Python. You will be responsible for writing efficient and reliable code that is easy to maintain and troubleshoot. Roles & Responsibilities: Develop, maintain, and enhance software applications for Extract, Transform, and Load (ETL) processes Design and implement ETL solutions that are scalable, reliable, and maintainable Develop and maintain ETL code, scripts, and jobs, ensuring they are efficient, accurate, and meet business requirements Troubleshoot and debug ETL code, identifying and resolving issues in a timely manner Collaborate with cross-functional teams, including data analysts, business analysts, and project managers, to understand requirements and deliver solutions that meet business needs Design and implement data integration processes between various systems and data sources Optimize ETL processes to improve performance, scalability, and reliability Create and maintain technical documentation, including design documents, coding standards, and best practices. Technical Skills Skills Requirements: Proficiency in programming languages such as Python for writing ETL scripts. Knowledge of data transformation techniques such as filtering, aggregation, and joining. Familiarity with ETL frameworks such as Apache NiFi, Talend, or Informatica. Understanding of data profiling, data quality, and data validation techniques. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Big Data Platform Engineer at Incedo, you will be responsible for designing and implementing big data platforms to support large-scale data integration projects. You will work with data architects and data engineers to define the platform architecture and build the necessary infrastructure. You will be skilled in big data technologies such as Hadoop, Spark, and Kafka and have experience in cloud computing platforms such as AWS or Azure. You will be responsible for ensuring the performance, scalability, and security of the big data platform and troubleshooting any issues that arise. Roles & Responsibilities: Designing, developing and maintaining large-scale big data platforms using technologies like Hadoop, Spark and Kafka Creating and managing data warehouses, data lakes and data marts Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Troubleshooting and resolving big data platform issues Collaborating with other teams to ensure the consistency and integrity of data Technical Skills Skills Requirements: Experience with big data processing technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. Understanding of distributed computing concepts such as MapReduce, Spark RDDs, or Apache Flink data streams. Familiarity with big data storage solutions such as HDFS, Amazon S3, or Azure Data Lake Storage. Knowledge of big data processing frameworks such as Apache Hive, Apache Pig, or Apache Impala. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Network Operations - Utilities.: Experience: 3-5 Years.

As a Senior Data Reporting Services Specialist at Incedo, you will be responsible for creating reports and dashboards for clients. You will work with clients to understand their reporting needs and design reports and dashboards that meet those needs. You will be skilled in data visualization tools such as Tableau or Power BI and have experience with reporting tasks such as data analysis, dashboard design, and report publishing. Roles & Responsibilities: Design and develop reports and dashboards to help businesses make data-driven decisions. Develop data models and perform data analysis to identify trends and insights. Work with stakeholders to understand their reporting needs and develop solutions that meet those needs. Proficiency in data visualization tools like Tableau, Power BI, and QlikView. Technical Skills Skills Requirements: Strong knowledge of SQL and data querying tools such as Tableau, Power BI, or QlikView Experience in designing and developing data reports and dashboards Familiarity with data integration and ETL tools such as Talend or Informatica Understanding of data governance and data quality concepts Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Required Skill Set Candidates with 8+ years of experience with exposure and experience in PIM solution definition and architecting Must have good understanding of MDM architectures and business processes specifically for solutioning PIM solutions leveraging Inriver Must have Minimum 2 end-to-end Implementation experience with Inriver PIM with architecting one such solution and should be familiar with tools architecture and components (data management, data model, digital asset management, workflows, data model and extensions,supplier portal, data quality, integration aspects) Must have hands-on experience with Informatica PIM tool that includes data modeling , designing and implementing components for imports, exports, data migration and associated data cleansing/transformations, data validations rules, catalog management, techniques for managing digital assets and unstructured content in PIM, etc. Should have designed & implemented automated workflows in the tool for data management processes Knowledge and experience in integrating PIM with Data Quality tool (IDQ) for implementing Product data related DQ processes Experience in integrating PIM with ETL (data integration) and EAI tools for batch & real time integrations Experience / understanding of data services suite of products (Data quality , Data integration etc.) will be an added advantage Understanding/experience on integrating PIM with external content management tools will be useful Candidate should have excellent communication skills with ability to interface with customers to drive PIM requirement workshops to elicit and document functional and non-functional requirements Roles & Responsibilities Leading customer discussions and workshops for requirement elicitation and converting business requirements into PIM functional requirements Architecting, designing and implementing Inriver solutions as per client requirements - configuring, extending and customizing various components of PIM platform Providing technical leadership and leading other implementation team members (integration, data quality, BPM) throughout the implementations Build best practices, reusable components and accelerators for PIM implementations Mentor junior team members on PIM solution design and implementations Support practice by leading PIM solution definitions for different customers Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendation Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture Identifies implementation risks and potential impacts 2.Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc 4.Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: Informatica MDM. Experience: 8-10 Years.

ETRM Data Engineer: Key Responsibilities Design, develop, and maintain scalable data pipelines and ETRM systems. Work on data integration projects within the Energy Trading and Risk Management (ETRM) domain. Collaborate with cross-functional teams to integrate data from ETRM trading systems like Allegro, RightAngle, and Endur. Optimize and manage data storage solutions in Data Lake and Snowflake. Develop and maintain ETL processes using Azure Data Factory and Databricks. Write efficient and maintainable code in Python for data processing and analysis. Ensure data quality and integrity across various data sources and platforms. Ensure data accuracy, integrity, and availability across various trading systems. Collaborate with traders, analysts, and IT teams to understand data requirements and deliver robust solutions. Optimize and enhance data architecture for performance and scalability Mandatory Skills: Python/ pyspark Fast API Pydantic SQL Alchemy Snowflake or SQL Data Lake Azure Data Factory (ADF) CI\CD, Azure fundamentals , GIT Integration of data solutions with CETRM trading Systems(Allegro, RightAngle, Endur) Good to have: Databricks Streamlit Kafka Power BI Kubernetes Fast Stream

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Database Architecting Experience : 5-8 Years.

Role Purpose The purpose of the role is to define and develop Enterprise Data Structure along with Data Warehouse, Master Data, Integration and transaction processing with maintaining and strengthening the modelling standards and business information. Do 1. Define and Develop Data Architecture that aids organization and clients in new/ existing deals a. Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic, information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovation b. Assess the benefits and risks of data by using tools such as business capability models to create an data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategy c. Create data strategy and road maps for the Reference Data Architecture as required by the clients d. Engage all the stakeholders to implement data governance models and ensure that the implementation is done based on every change request e. Ensure that the data storage and database technologies are supported by the data management and infrastructure of the enterprise f. Develop, communicate, support and monitor compliance with Data Modelling standards g. Oversee and monitor all frameworks to manage data across organization h. Provide insights for database storage and platform for ease of use and least manual work i. Collaborate with vendors to ensure integrity, objectives and system configuration j. Collaborate with functional & technical teams and clients to understand the implications of data architecture and maximize the value of information across the organization k. Presenting data repository, objects, source systems along with data scenarios for the front end and back end usage l. Define high-level data migration plans to transition the data from source to target system/ application addressing the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processes m. Knowledge of all the Data service provider platforms and ensure end to end view. n. Oversight all the data standards/ reference/ papers for proper governance o. Promote, guard and guide the organization towards common semantics and the proper use of metadata p. Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure a common understanding, consistency, accuracy and control q. Provide solution of RFPs received from clients and ensure overall implementation assurance i. Develop a direction to manage the portfolio of all the databases including systems, shared infrastructure services in order to better match business outcome objectives ii. Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data iii. Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology iv. Define and understand current issues and problems and identify improvements v. Evaluate and recommend solutions to integrate with overall technology ecosystem keeping consistency throughout vi. Understand the root cause problem in integrating business and product units vii. Validate the solution/ prototype from technology, cost structure and customer differentiation point of view viii. Collaborating with sales and delivery leadership teams to identify future needs and requirements ix. Tracks industry and application trends and relates these to planning current and future IT needs 2. Building enterprise technology environment for data architecture management a. Develop, maintain and implement standard patterns for data layers, data stores, data hub & lake and data management processes b. Evaluate all the implemented systems to determine their viability in terms of cost effectiveness c. Collect all the structural and non-structural data from different places integrate all the data in one database form d. Work through every stage of data processing: analysing, creating, physical data model designs, solutions and reports e. Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practices f. Implement the best security practices across all the data bases based on the accessibility and technology g. Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG) h. Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration 3. Enable Delivery Teams by providing optimal delivery solutions/ frameworks a. Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisor b. Define database physical structure, functional capabilities, security, back-up and recovery specifications c. Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results d. Monitor system capabilities and performance by performing tests and configurations e. Integrate new solutions and troubleshoot previously occurred errors f. Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards g. Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects h. Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams i. Recommend tools for reuse, automation for improved productivity and reduced cycle times j. Help the support and integration team for better efficiency and client experience for ease of use by using AI methods. k. Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams l. Ensures architecture principles and standards are consistently applied to all the projects m. Ensure optimal Client Engagement i. Support pre-sales team while presenting the entire solution design and its principles to the client ii. Negotiate, manage and coordinate with the client teams to ensure all requirements are met iii. Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor Mandatory Skills: Data Governance. Experience : 8-10 Years.

About the Opportunity Job TypeApplication 29 July 2025 Title Analyst Programmer Department WPFH Location Gurgaon Level 2 Intro Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved thisBy working together - and supporting each other - all over the world. So, join our [insert name of team/ business area] team and feel like youre part of something bigger. About your team The successful candidate would join the Data team . Candidate would be responsible for building data integration and distribution experience to work within the Distribution Data and Reporting team and its consumers. The team is responsible for developing new, and supporting existing, middle tier integration services and business services, and is committed to driving forwards the development of leading edge solutions. About your role This role would be responsible for liaising with the technical leads, business analysts, and various product teams to design, develop & trouble shoot the ETL jobs for various Operational data stores. The role will involve understanding the technical design, development and implementation of ETL and EAI architecture using Informatica / ETL tools. The successful candidate will be able to demonstrate an innovative and enthusiastic approach to technology and problem solving, will display good interpersonal skills and show confidence and ability to interact professionally with people at all levels and exhibit a high level of ownership within a demanding working environment. Key Responsibilities Work with Technical leads, Business Analysts and other subject matter experts. Understand the data model / design and develop the ETL jobs Sound technical knowledge on Informatica to take ownership of allocated development activities in terms of working independently Working knowledge on Oracle database to take ownership of the underlying SQLs for the ETL jobs (under guidance of the technical leads) Providing the development estimates Implement standards, procedures and best practices for data maintenance, reconciliation and exception management. Interact with cross functional teams for coordinating dependencies and deliverables. Essential Skils Technical Deep knowledge and Experience of using the Informatica Power Centre tool set min 3 yrs. Experience in Snowflake Experience of Source Control Tools Experience of using job scheduling tools such as Control-M Experience in UNIX scripting Strong SQL or Pl/SQL experience with a minimum of 2 years experience Experience in Data Warehouse, Datamart and ODS concepts Knowledge of data normalisation/OLAP and Oracle performance optimisation techniques 3 + Yrs Experience of either Oracle or SQL Server and its utilities coupled with experience of UNIX/Windows Functional 3 + years experience of working within financial organisations and broad base business process, application and technology architecture experience Experience with data distribution and access concepts with ability to utilise these concepts in realising a proper physical model from a conceptual one Business facing and ability to work alongside data stewards in systems and the business Strong interpersonal, communication and client facing skills Ability to work closely with cross functional teams About you B.E./B.Tech/MBA/M.C.A/Any other bachelors Degree. At least 3+years of experience in Data Integration and Distribution Experience in building web services and APIs Knowledge of Agile software development life-cycle methodologies

Snowflake Data Engineer1 Snowflake Data Engineer Overall Experience 5+ years of experience in Snowflake and Python. Experience of 5+ years in data preparation. BI projects to understand business requirements in BI context and understand data model to transform raw data into meaningful data using snowflake and Python. Designing and creating data models that define the structure and relationships of various data elements within the organization. This includes conceptual, logical, and physical data models, which help ensure data accuracy, consistency, and integrity. Designing data integration solutions that allow different systems and applications to share and exchange data seamlessly. This may involve selecting appropriate integration technologies, developing ETL (Extract, Transform, Load) processes, and ensuring data quality during the integration process. Create and maintain optimal data pipeline architecture. Good knowledge of cloud platforms like AWS/Azure/GCP Good hands-on knowledge of Snowflake is a must. Experience with various data ingestion methods (Snow pipe & others), time travel and data sharing and other Snowflake capabilities Good knowledge of Python/Py Spark, advanced features of Python Support business development efforts (proposals and client presentations). Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success. Excellent leadership and interpersonal skills. Eager to contribute to a team-oriented environment. Strong prioritization and multi-tasking skills with a track record of meeting deadlines. Ability to be creative and analytical in a problem-solving environment. Effective verbal and written communication skills. Adaptable to new environments, people, technologies, and processes Ability to manage ambiguity and solve undefined problems.

We are hiring for one of our client an IT company based from Ahmedabad,Gujarat Job Title :- SAS Developer Experience: 2 to 5 years Location:- PAN INDIA (willing to relocate) Required Candidate profile SAS Base, Macros, SQL, DI, VA, Viya RDBMS: Oracle, SQL Server, Teradata Data validation, analytics, reporting Banking data models & regulatory reporting SAS Enterprise Guide, AML/KYC

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 : PySpark Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : BE Summary :As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code for multiple clients. Your day will involve collaborating with team members to ensure the successful implementation of software solutions, while also performing maintenance and enhancements to existing applications. You will be responsible for delivering high-quality code and contributing to the overall success of the projects you are involved in, ensuring that client requirements are met effectively and efficiently. 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 translate them into technical specifications.- Conduct code reviews to ensure adherence to best practices and coding standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of data processing frameworks and distributed computing.- Experience with data integration and ETL processes.- Familiarity with cloud platforms and services related to data processing.- Knowledge of version control systems such as Git. Additional Information:- The candidate should have minimum 2 years of experience in PySpark.- This position is based at our Chennai office.- A BE is required. Qualification BE

2-3 years or more experience of successfully implementing Anaplan solutions and as an Architect on at least 2 Anaplan implementation projects. Total 5+ years of experience in related technologies. Domain experience in Telecom/Contract Management would be preferred. Anaplan certification of L1, L2, L3 and Solution Architect (Mandatory) certified. Understand clients business planning & performance management processes and related business requirements. Should provide meaningful observations on performance improvements, formula re-writing, troubleshooting and analyzing the problems and its related impacts within and across models. Hands-on in Anaplan New UX, ALM, Anaplan Connect, APIs. Guide and mentor other team members throughout the implementation process. Serve as the architectural SME for large-scale connected planning solutions. Provide candid, meaningful feedback and progress updates in a timely manner to the Project Manager/Business Partner and team. Develop Anaplan model documentation. Participate and/or lead Data Integration and Migration Solutions. Participate and/or lead UAT testing and deployment. Mandatory Skills: Anaplan. Experience: 5-8 Years.

Role Purpose The purpose of the role is to define and develop Enterprise Data Structure along with Data Warehouse, Master Data, Integration and transaction processing with maintaining and strengthening the modelling standards and business information. Do 1. Define and Develop Data Architecture that aids organization and clients in new/ existing deals a. Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic, information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovation b. Assess the benefits and risks of data by using tools such as business capability models to create an data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategy c. Create data strategy and road maps for the Reference Data Architecture as required by the clients d. Engage all the stakeholders to implement data governance models and ensure that the implementation is done based on every change request e. Ensure that the data storage and database technologies are supported by the data management and infrastructure of the enterprise f. Develop, communicate, support and monitor compliance with Data Modelling standards g. Oversee and monitor all frameworks to manage data across organization h. Provide insights for database storage and platform for ease of use and least manual work i. Collaborate with vendors to ensure integrity, objectives and system configuration j. Collaborate with functional & technical teams and clients to understand the implications of data architecture and maximize the value of information across the organization k. Presenting data repository, objects, source systems along with data scenarios for the front end and back end usage l. Define high-level data migration plans to transition the data from source to target system/ application addressing the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processes m. Knowledge of all the Data service provider platforms and ensure end to end view. n. Oversight all the data standards/ reference/ papers for proper governance o. Promote, guard and guide the organization towards common semantics and the proper use of metadata p. Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure a common understanding, consistency, accuracy and control q. Provide solution of RFPs received from clients and ensure overall implementation assurance i. Develop a direction to manage the portfolio of all the databases including systems, shared infrastructure services in order to better match business outcome objectives ii. Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data iii. Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology iv. Define and understand current issues and problems and identify improvements v. Evaluate and recommend solutions to integrate with overall technology ecosystem keeping consistency throughout vi. Understand the root cause problem in integrating business and product units vii. Validate the solution/ prototype from technology, cost structure and customer differentiation point of view viii. Collaborating with sales and delivery leadership teams to identify future needs and requirements ix. Tracks industry and application trends and relates these to planning current and future IT needs 2. Building enterprise technology environment for data architecture management a. Develop, maintain and implement standard patterns for data layers, data stores, data hub & lake and data management processes b. Evaluate all the implemented systems to determine their viability in terms of cost effectiveness c. Collect all the structural and non-structural data from different places integrate all the data in one database form d. Work through every stage of data processing: analysing, creating, physical data model designs, solutions and reports e. Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practices f. Implement the best security practices across all the data bases based on the accessibility and technology g. Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG) h. Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration 3. Enable Delivery Teams by providing optimal delivery solutions/ frameworks a. Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisor b. Define database physical structure, functional capabilities, security, back-up and recovery specifications c. Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results d. Monitor system capabilities and performance by performing tests and configurations e. Integrate new solutions and troubleshoot previously occurred errors f. Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards g. Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects h. Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams i. Recommend tools for reuse, automation for improved productivity and reduced cycle times j. Help the support and integration team for better efficiency and client experience for ease of use by using AI methods. k. Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams l. Ensures architecture principles and standards are consistently applied to all the projects m. Ensure optimal Client Engagement i. Support pre-sales team while presenting the entire solution design and its principles to the client ii. Negotiate, manage and coordinate with the client teams to ensure all requirements are met iii. Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor Mandatory Skills: AI Application Integration. Experience: 10 YEARS.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement

We’re looking for a seasoned SAP Datasphere specialist to design and implement enterprise-level data models and integration pipelines. The role demands strong ETL craftsmanship using SAP native tools, with a foundational knowledge of BW systems leveraged during transitions and migrations. Roles and Responsibilities Key Responsibilities Data Pipeline Development Act as an architect for complex ETL workflows leveraging SAP Datasphere’s graphical and scripting tools. Should have worked with various sources and targets for data integration such as S/4HANA, ECC, Oracle and other third-party sources. Experience using BW Bridge and using standard BW datasources with Datasphere. Ensure data replication, federation, and virtualization use cases are optimally addressed. Modeling & Governance Design and maintain business-oriented semantic layers within Datasphere—creating abstracted, reusable data models and views tailored for analytics consumption. Apply rigorous data governance, lineage tracking, and quality frameworks. Performance & Operations Should be able to design highly optimized and performant data models that perform well under heavy data volume. Continuously track and enhance the performance of data pipelines and models—ensuring efficient processing and robust scalability. Manage workspace structures, access controls, and overall system hygiene. Team Collaboration & Mentorship Collaborate with IT, analytics, and business teams to operationalize data requirements. Coach junior engineers and drive standardized practices across the team Must-Have Qualifications Bachelor’s degree in computer science, Information Systems, or related field. Minimum 8 years in SAP data warehousing, including exposure to BW/BW4HANA. At least 2 years of hands-on experience in SAP Datasphere for ETL, modeling, and integration. Expertise in SQL and scripting (Python). Solid understanding of data governance, lineage, security, and metadata standards. Must be aware of ongoing and rapid changes in SAP landscape such as introduction of BDC and Databricks to SAP Data and Analytics. Nice-to-Have Certifications in SAP Datasphere, BW/4HANA, or data engineering. Knowledge of data virtualization, federation architectures, and hybrid cloud deployments. Experience with Agile or DevOps practices, CI/CD pipelines.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement.

Job description As an ETL Developer for the Data and Analytics team, at Guidewire you will participate and collaborate with our customers and SI Partners who are adopting our Guidewire Data Platform as the centerpiece of their data foundation. You will facilitate and be an active developer when necessary to operationalize the realization of the agreed upon ETL Architecture goals of our customers adhering to Guidewire best practices and standards. You will work with our customers, partners, and other Guidewire team members to deliver successful data transformation initiatives. You will utilize best practices for design, development, and delivery of customer projects. You will share knowledge with the wider Guidewire Data and Analytics team to enable predictable project outcomes and emerge as a leader in our thriving data practice. One of our principles is to have fun while we deliver, so this role will need to keep the delivery process fun and engaging for the team in collaboration with the broader organization. Given the dynamic nature of the work in the Data and Analytics team, we are looking for decisive, highly-skilled technical problem solvers who are self-motivated and take proactive actions for the benefit of our customers and ensure that they succeed in their journey to Guidewire Cloud Platform. You will collaborate closely with teams located around the world and adhere to our core values Integrity, Collegiality, and Rationality. Key Responsibilities: Build out technical processes from specifications provided in High Level Design and data specifications documents. Integrate test and validation processes and methods into every step of the development process Work with Lead Architects and provide inputs into defining user stories, scope, acceptance criteria and estimates. Systematic problem-solving approach, coupled with a sense of ownership and drive Ability to work independently in a fast-paced Agile environment Actively contribute to the knowledge base from every project you are assigned to. Qualifications: Bachelors or Masters Degree in Computer Science, or equivalent level of demonstrable professional competency, and 3 - 5 years + in a technical capacity building out complex ETL Data Integration frameworks. 3+ years of Experience with data processing and ETL (Extract, Transform, Load) and ELT (Extract, Load, and Transform) concepts. Experience with ADF or AWS Glue, Spark/Scala, GDP, CDC, ETL Data Integration, Experience working with relational and/or NoSQL databases Experience working with different cloud platforms (such as AWS, Azure, Snowflake, Google Cloud, etc.) Ability to work independently and within a team. Nice to have: Insurance industry experience Experience with ADF or AWS Glue Experience with the Azure data factory, Spark/Scala Experience with the Guidewire Data Platform.

About TresVista TresVista is a global enterprise offering a diversified portfolio of services that enables its clients to achieve resource optimization through leveraging an offshore capacity model. TresVista's services include investment diligence, industry research, valuation, fund administration, accounting, and data analytics. TresVista has more than 1,800 employees across offices in North America, Europe and Asia, providing high-caliber support and operating leverage to over 1,000 clients across geographies and asset classes, including asset managers, advisors, corporates and entrepreneurs. Overview This role shall strategize, implement, and monitor data analysis technology to improve productivity, operational efficiency, and deliver insights. You will be expected to drive adoption of Business Intelligence tools within the organization. In this role, you would drive the roadmap and strategic business objectives for the Business Intelligence division. The role shall also oversee organization automation and AI initiatives. You shall balance the risks presented by Generative AI and Predictive AI, help define our technical architecture and ensure effective execution through prioritization and governance, and build an industry leading team through recruitment, training, and development. Roles and Responsibilities Building Data Lake: a. Architecting enterprise data lake b. Evaluating and finalizing tech stack for data lake c. Leading initiatives to deliver data lake d. Designing and implementing data governance framework Developing data visualization: a. Understanding decisioning situation and map it to analytics needs b. Defining, designing, and conceptualizing projects of data visualization c. Ensuring the overall user experience is considered when designing deploying innovative solutions and services Leveraging Advance Analytics and AI: a. Identifying opportunities of leveraging predictive technology to automate decisions b. Driving initiatives around generative AI applications, exploring new use cases like content automation, conversational interfaces, and dynamic product features c. Designing, developing, and deploying AI including NLP models for tasks such as text classification, sentiment analysis, machine translation, and question answering Project Implementation and management: a. Presenting project and securing approvals b. Launching project, executing then, and doing project management for Business Intelligence vertical c. Recording product defects, analyzing requirements and work on impact analysis of planned features d. Gathering Product Data including user behavior, web analytics, product usage, KPIs/KRA for feature(s) and synthesizing insights Prerequisites Strong understanding of data science concepts, machine learning, and advanced analytics Experience in managing technical teams to deliver Data solutions, incl. acquisition, curation, catalogue registration, data product life cycle and data producer and consumer journeys and usage patterns Experienced with planning, estimating, organizing, and delivering on multiple projects Ability to articulate solutions and process designs clearly Strong knowledge of data integration (ETL), data quality (DQ), data governance, iPaaS (APIs, micro services, application Integration) and Big Data Good web development background (SQL, RDBMS, Java, HTML5, NET) is a plus Good understanding of Machine Learning tools and its usage such as Python/R Experience Candidate should have at least 12 - 18 years of hands-on experience in data science, analytics and machine learning with at least 5+ years in a leadership role Excellent leadership, communication and collaboration skills with a proven ability to align AI initiatives with business goals and deliver measurable outcomes Strategic thinking, problem-solving and a strong team player Education A bachelor/master's degree from a Tier I institute or a Ph.D. in data science, computer science, statistics, mathematics, machine learning or a related quantitative field is preferred Compensation The compensation structure will be as per industry standards