9 - 12 Years 1 Opening Trivandrum Role description Role Proficiency: Leverage expertise in a technology area (e.g. Infromatica Transformation Terradata data warehouse Hadoop Analytics) Responsible for Architecture for a small/mid-size projects. Outcomes: Implement either data extract and transformation a data warehouse (ETL Data Extracts Data Load Logic Mapping Work Flows stored procedures data warehouse) data analysis solution data reporting solutions or cloud data tools in any one of the cloud providers(AWS/AZURE/GCP) Understand business workflows and related data flows. Develop design for data acquisitions and data transformation or data modelling; applying business intelligence on data or design data fetching and dashboards Design information structure work-and dataflow navigation. Define backup recovery and security specifications Enforce and maintain naming standards and data dictionary for data models Provide or guide team to perform estimates Help team to develop proof of concepts (POC) and solution relevant to customer problems. Able to trouble shoot problems while developing POCs Architect/Big Data Speciality Certification in (AWS/AZURE/GCP/General for example Coursera or similar learning platform/Any ML) Measures of Outcomes: Percentage of billable time spent in a year for developing and implementing data transformation or data storage Number of best practices documented in any new tool and technology emerging in the market Number of associates trained on the data service practice Outputs Expected: Strategy & Planning: Create or contribute short-term tactical solutions to achieve long-term objectives and an overall data management roadmap Implement methods and procedures for tracking data quality completeness redundancy and improvement Ensure that data strategies and architectures meet regulatory compliance requirements Begin engaging external stakeholders including standards organizations regulatory bodies operators and scientific research communities or attend conferences with respect to data in cloud Operational Management : Help Architects to establish governance stewardship and frameworks for managing data across the organization Provide support in implementing the appropriate tools software applications and systems to support data technology goals Collaborate with project managers and business teams for all projects involving enterprise data Analyse data-related issues with systems integration compatibility and multi-platform integration Project Control and Review : Provide advice to teams facing complex technical issues in the course of project delivery Define and measure project and program specific architectural and technology quality metrics Knowledge Management & Capability Development : Publish and maintain a repository of solutions best practices and standards and other knowledge articles for data management Conduct and facilitate knowledge sharing and learning sessions across the team Gain industry standard certifications on technology or area of expertise Support technical skill building (including hiring and training) for the team based on inputs from project manager /RTE’s Mentor new members in the team in technical areas Gain and cultivate domain expertise to provide best and optimized solution to customer (delivery) Requirement gathering and Analysis: Work with customer business owners and other teams to collect analyze and understand the requirements including NFRs/define NFRs Analyze gaps/ trade-offs based on current system context and industry practices; clarify the requirements by working with the customer Define the systems and sub-systems that define the programs People Management: Set goals and manage performance of team engineers Provide career guidance to technical specialists and mentor them Alliance Management: Identify alliance partners based on the understanding of service offerings and client requirements In collaboration with Architect create a compelling business case around the offerings Conduct beta testing of the offerings and relevance to program Technology Consulting: In collaboration with Architects II and III analyze the application and technology landscapers process and tolls to arrive at the architecture options best fit for the client program Analyze Cost Vs Benefits of solution options Support Architects II and III to create a technology/ architecture roadmap for the client Define Architecture strategy for the program Innovation and Thought Leadership: Participate in internal and external forums (seminars paper presentation etc) Understand clients existing business at the program level and explore new avenues to save cost and bring process efficiency Identify business opportunities to create reusable components/accelerators and reuse existing components and best practices Project Management Support: Assist the PM/Scrum Master/Program Manager to identify technical risks and come-up with mitigation strategies Stakeholder Management: Monitor the concerns of internal stakeholders like Product Managers & RTE’s and external stakeholders like client architects on Architecture aspects. Follow through on commitments to achieve timely resolution of issues Conduct initiatives to meet client expectations Work to expand professional network in the client organization at team and program levels New Service Design: Identify potential opportunities for new service offerings based on customer voice/ partner inputs Conduct beta testing / POC as applicable Develop collaterals guides for GTM Skill Examples: Use data services knowledge creating POC to meet a business requirements; contextualize the solution to the industry under guidance of Architects Use technology knowledge to create Proof of Concept (POC) / (reusable) assets under the guidance of the specialist. Apply best practices in own area of work helping with performance troubleshooting and other complex troubleshooting. Define decide and defend the technology choices made review solution under guidance Use knowledge of technology t rends to provide inputs on potential areas of opportunity for UST Use independent knowledge of Design Patterns Tools and Principles to create high level design for the given requirements. Evaluate multiple design options and choose the appropriate options for best possible trade-offs. Conduct knowledge sessions to enhance team's design capabilities. Review the low and high level design created by Specialists for efficiency (consumption of hardware memory and memory leaks etc.) Use knowledge of Software Development Process Tools & Techniques to identify and assess incremental improvements for software development process methodology and tools. Take technical responsibility for all stages in the software development process. Conduct optimal coding with clear understanding of memory leakage and related impact. Implement global standards and guidelines relevant to programming and development come up with 'points of view' and new technological ideas Use knowledge of Project Management & Agile Tools and Techniques to support plan and manage medium size projects/programs as defined within UST; identifying risks and mitigation strategies Use knowledge of Project Metrics to understand relevance in project. Collect and collate project metrics and share with the relevant stakeholders Use knowledge of Estimation and Resource Planning to create estimate and plan resources for specific modules or small projects with detailed requirements or user stories in place Strong proficiencies in understanding data workflows and dataflow Attention to details High analytical capabilities Knowledge Examples: Data visualization Data migration RDMSs (relational database management systems SQL Hadoop technologies like MapReduce Hive and Pig. Programming languages especially Python and Java Operating systems like UNIX and MS Windows. Backup/archival software. Additional Comments: Snowflake Architect Key Responsibilities: • Solution Design: Designing the overall data architecture within Snowflake, including database/schema structures, data flow patterns (ELT/ETL strategies involving Snowflake), and integration points with other systems (source systems, BI tools, data science platforms). • Data Modeling: Designing efficient and scalable physical data models within Snowflake. Defining table structures, distribution/clustering keys, data types, and constraints to optimize storage and query performance. • Security Architecture: Designing the overall security framework, including the RBAC strategy, data masking policies, encryption standards, and how Snowflake security integrates with broader enterprise security policies. • Performance and Scalability Strategy: Designing solutions with performance and scalability in mind. Defining warehouse sizing strategies, query optimization patterns, and best practices for development teams. Ensuring the architecture can handle future growth in data volume and user concurrency. • Cost Optimization Strategy: Designing architectures that are inherently cost-effective. Making strategic choices about data storage, warehouse usage patterns, and feature utilization (e.g., when to use materialized views, streams, tasks). • Technology Evaluation and Selection: Evaluating and recommending specific Snowflake features (e.g., Snowpark, Streams, Tasks, External Functions, Snowpipe) and third-party tools (ETL/ELT, BI, governance) that best fit the requirements. • Standards and Governance: Defining best practices, naming conventions, development guidelines, and governance policies for using Snowflake effectively and consistently across the organization. • Roadmap and Strategy: Aligning the Snowflake data architecture with overall business intelligence and data strategy goals. Planning for future enhancements and platform evolution. • Technical Leadership: Providing guidance and mentorship to developers, data engineers, and administrators working with Snowflake. • Key Skills: • Deep understanding of Snowflake's advanced features and architecture. • Strong data warehousing concepts and data modeling expertise. • Solution architecture and system design skills. • Experience with cloud platforms (AWS, Azure, GCP) and how Snowflake integrates. • Expertise in performance tuning principles and techniques at an architectural level. • Strong understanding of data security principles and implementation patterns. • Knowledge of various data integration patterns (ETL, ELT, Streaming). • Excellent communication and presentation skills to articulate designs to technical and non-technical audiences. • Strategic thinking and planning abilities. Looking for 12+ years of experience to join our team. Skills Snowflake,Data modeling,Cloud platforms,Solution architecture About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Job Information Industry IT Services Date Opened 06/06/2025 Salary Confidential Job Type Full time Work Experience 7 to 12 years City Hyderabad State/Province Telangana Country India Zip/Postal Code 500001 Job Description Veltris is a Digital Product Engineering Services partner committed to driving technology enabled transformation across enterprises, businesses, and industries. We specialize in delivering next-generation solutions for sectors including healthcare, technology, communications, manufacturing, and finance. With a focus on innovation and acceleration, Veltris empowers clients to build, modernize, and scale intelligent products that deliver connected, AI-powered experiences. Our experience-centric approach, agile methodologies, and exceptional talent enable us to streamline product development, maximize platform ROI, and drive meaningful business outcomes across both digital and physical ecosystems. In a strategic move to strengthen our healthcare offerings and expand industry capabilities, Veltris has acquired BPK Technologies. This acquisition enhances our domain expertise, broadens our go-to-market strategy, and positions us to deliver even greater value to enterprise and mid-market clients in healthcare and beyond. Job Summary: We are looking for a Senior Data Architect to join our dynamic technology team. As a Senior Data Architect, you will be responsible for designing, implementing, and maintaining robust data architectures that support the strategic objectives of our organization. You will collaborate with cross-functional teams to ensure data solutions are scalable, secure, and aligned with business requirements. Your expertise will be instrumental in guiding data governance, data modeling, and the integration of new technologies. The ideal candidate will have a strong background in data architecture, excellent problem-solving skills, and the ability to communicate complex technical concepts to both technical and non-technical stakeholders. You will play a key role in establishing best practices for data management, optimizing data flows, and ensuring data quality across the organization. In this role, you will evaluate emerging technologies, recommend improvements to existing data systems, and provide mentorship to junior team members. You will also be responsible for developing and maintaining documentation, ensuring compliance with data privacy regulations, and supporting data-driven decision-making processes. If you are passionate about data architecture and eager to make a significant impact in a fast-paced environment, we encourage you to apply. Key Responsibilities Design and implement scalable data architectures. Develop and maintain data models and database solutions. Collaborate with stakeholders to gather data requirements. Ensure data quality, integrity, and security across systems. Establish and enforce data governance policies and best practices. Evaluate and integrate new data technologies and tools. Optimize data flows and ETL processes. Provide technical leadership and mentorship to team members. Document data architecture and processes. Support compliance with data privacy and security regulations. Troubleshoot and resolve data-related issues. Contribute to strategic planning for data initiatives. Qualifications and Requirements Bachelor’s or master’s degree in computer science, Information Systems, or related field. Proven experience as a Data Architect or similar role. Strong knowledge of database systems (SQL, NoSQL, cloud databases). Experience with data modeling, ETL, and data warehousing. Experience with DWH, Microsoft Fabric, Microsoft ADH, Snowflake. Familiarity with data governance and data quality frameworks. Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Experience with big data technologies (e.g., Hadoop, Spark) is a plus. Knowledge of cloud platforms (AWS, Azure, Google Cloud). Ability to work collaboratively in cross-functional teams. Attention to detail and commitment to data accuracy. Relevant certifications are an advantage. Proficiency in one or more programming languages such as Python, Java, or Scala. Experience Required: 8+ years Location: Hyderabad Work Mode: Work from Office Disclaimer : The information provided herein is for general informational purposes only and reflects the current strategic direction and service offerings of Veltris. While we strive for accuracy, Veltris makes no representations or warranties regarding the completeness, reliability, or suitability of the information for any specific purpose. Any statements related to business growth, acquisitions, or future plans, including the acquisition of BPK Technologies, are subject to change without notice and do not constitute a binding commitment. Veltris reserves the right to modify its strategies, services, or business relationships at its sole discretion. For the most up-to-date and detailed information, please contact Veltris directly.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Experience designing and developing data architecture in a cloud environment (AWS, Azure, or Google Cloud) Strong knowledge of cloud-based data tools and technologies such as Hadoop, Spark, Kafka, and NoSQL databases Experience with data modeling, data warehousing, and ETL/ELT processes Strong understanding of data management, data quality, and data governance best practices Preferred qualifications, capabilities, and skills In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience

Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience. 4 years of experience in developing and troubleshooting data processing algorithms. Experience coding with one or more programming languages (e.g., Java, Python) and Bigdata technologies such as Scala, Spark and hadoop frameworks. Experience with one public cloud provider, such as GCP. Preferred qualifications: Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments. Experience in Big Data, information retrieval, data mining, or Machine Learning. Experience with data warehouses, technical architectures, infrastructure components, Extract Transform and Load/Extract, Load and Transform and reporting/analytic tools, environments, and data structures. Experience in building multi-tier applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow. Experience with Infrastructure as Code and Continuous Integration/Continuous Deployment tools like Terraform, Ansible, Jenkins. Understanding one database type, with the ability to write complex SQL queries. About the job The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Strategic Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges. You will have an understanding of data governance and security controls. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work with Product Management and Product Engineering teams to build and constantly drive excellence in our products. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Interact with stakeholders to translate complex customer requirements into recommendations for appropriate solution architectures and advisory services. Engage with technical leads, and partners to lead high velocity migration and modernisation to Google Cloud Platform (GCP). Design, Migrate/Build and Operationalise data storage and processing infrastructure using Cloud native products. Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data. Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

JOB DESCRIPTION We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Experience designing and developing data architecture in a cloud environment (AWS, Azure, or Google Cloud) Strong knowledge of cloud-based data tools and technologies such as Hadoop, Spark, Kafka, and NoSQL databases Experience with data modeling, data warehousing, and ETL/ELT processes Strong understanding of data management, data quality, and data governance best practices Preferred qualifications, capabilities, and skills In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience ABOUT US

Dear candidate, We are the hiring partner to one of esteemed clients requiring for below position. Kindly, go through the details before applying. Role : Big Data Administrator Exp- 5+ years Location –Hyderabad (Hybrid) Position Type: Contract (Upto 12 months- extendable) Role: The candidate has a strong technical background in Linux, networking, and security , along with hands-on experience in AWS cloud infrastructure . Proficiency in Infrastructure as Code (Terraform, Ansible) and have managed large-scale BigData clusters (Cloudera, Hortonworks, EMR). Their expertise includes Hadoop Distributed File System (HDFS), YARN, and various Hadoop file formats (ORC, Parquet, Avro). D eep knowledge of Hive, Presto, and Spark compute engines , with the ability to optimize complex SQL queries . They also support Spark with Python (PySpark) and R (SparklyR, SparkR) . Additionally, they have solid coding experience in scripting languages (Shell, Python) and have worked with Data Analysts and Scientists using tools like SAS, R-Studio, JupyterHub, and H2O . Nice-to-have skills include workflow management tools (Airflow, Oozie), analytical libraries (Pandas, Numpy, Scipy, PyTorch), and experience with Packer, Chef, Jenkins . They also have prior knowledge of Active Directory and Windows-based VDI platforms (Citrix, AWS Workspaces). Job Type: Contractual / Temporary Contract length: 6 months Pay: ₹700,000.00 - ₹1,200,000.00 per year Application Question(s): What is your total experience ? How soon you can join ? You understand that this is contract position and your are fine with the same ? What is your current/last salary ? What salary you are expecting now? Work Location: In person

Bangalore/ Delhi Data / Full Time / Hybrid What is Findem: Findem is the only talent data platform that combines 3D data with AI. It automates and consolidates top-of-funnel activities across your entire talent ecosystem, bringing together sourcing, CRM, and analytics into one place. Only 3D data connects people and company data over time - making an individual’s entire career instantly accessible in a single click, removing the guesswork, and unlocking insights about the market and your competition no one else can. Powered by 3D data, Findem’s automated workflows across the talent lifecycle are the ultimate competitive advantage. Enabling talent teams to deliver continuous pipelines of top, diverse candidates while creating better talent experiences, Findem transforms the way companies plan, hire, and manage talent. Learn more at www.findem.ai Experience - 5 - 9 years We are looking for an experienced Big Data Engineer, who will be responsible for building, deploying and managing various data pipelines, data lake and Big data processing solutions using Big data and ETL technologies. Location- Delhi Hybrid- 3 days onsite We are looking for an experienced Big Data Engineer, who will be responsible for building, deploying and managing various data pipelines, data lake and Big data processing solutions using Big data and ETL technologies. RESPONSIBILITIES Build data pipelines, Big data processing solutions and data lake infrastructure using various Big data and ETL technologies Assemble and process large, complex data sets that meet functional non-functional business requirements ETL from a wide variety of sources like MongoDB, S3, Server-to-Server, Kafka etc., and processing using SQL and big data technologies Build analytical tools to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics Build interactive and ad-hoc query self-serve tools for analytics use cases Build data models and data schema for performance, scalability and functional requirement perspective Build processes supporting data transformation, metadata, dependency and workflow management Research, experiment and prototype new tools/technologies and make them successful SKILL REQUIREMENTS Must have-Strong in Python/Scala Must have experience in Big data technologies like Spark, Hadoop, Athena / Presto, Redshift, Kafka etc Experience in various file formats like parquet, JSON, Avro, orc etc Experience in workflow management tools like airflow Experience with batch processing, streaming and message queues Any of visualization tools like Redash, Tableau, Kibana etc Experience in working with structured and unstructured data sets Strong problem solving skills Good to have - Exposure to NoSQL like MongoDB Exposure to Cloud platforms like AWS, GCP, etc Exposure to Microservices architecture Exposure to Machine learning techniques The role is full-time and comes with full benefits. We are globally headquartered in the San Francisco Bay Area with our India headquarters in Bengaluru. Equal Opportunity As an equal opportunity employer, we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, protected veteran status or any other legally-protected characteristic.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? In this role, the person will report to the Product Manager – Travel & Lifestyle Services, this role is an exciting opportunity for a PO/Analyst, the person will be working on data related products and to maintain quality of data for TLS in the Big Data Platform Cornerstone. Minimum Qualifications 5+ years’ experience in travel domain or minimum background in financial domain At least 5 years of experience in technology product management or data-related products. At least 5 years of experience in Software Architecture and Software Development. 3 years’ experience with SQL Experience with agile methodologies, i.e., rally, agile. An ability to solve complex problems and a highly analytical approach. Demonstrate the ability to learn and be curious to understand and master the travel domain. You are excited and passionate for the travel domain. Self-starter with the ability to think creatively and strategically Strong communication and stakeholder management skills Excellent communication skills with the ability to engage, influence, and inspire partners to drive collaboration and alignment. Demonstrate the ability to maintain a positive attitude and sense of humor in the face of chaos and challenges Has a successful record of leading and coordinating business, delivery, and technology teams to define, prioritize, and deliver on a product roadmap Strong product management skills that will take full ownership from analysis through implementation. High degree of organization, individual initiative, and personal accountability. Platform Knowledge Experience working w/ Hadoop and Big Data Platform – Cornerstone, Google Cloud Platform (GCP) Proficient in Microsoft Suit, Power BI, Tableau, and SQL Education Bachelors in related fields (Computer Science, Information Technology, Engineer, Electronics) Preferred Qualifications Masters in related in fields (Computer Science, Information Technology, Engineer, Electronics) We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Job Summary: We are seeking a highly skilled Python Developer with expertise in Machine Learning and Data Analytics to join our team. The ideal candidate should have 5-6 years of experience in developing end-to-end ML-driven applications and handling data-driven projects independently. You will be responsible for designing, developing, and deploying Python-based applications that leverage data analytics, statistical modeling, and machine learning techniques. Key Responsibilities: Design, develop, and deploy Python applications for data analytics and machine learning. Work independently on machine learning model development, evaluation, and optimization. Develop ETL pipelines and process large-scale datasets for analysis. Implement scalable and efficient algorithms for predictive analytics and automation. Optimize code for performance, scalability, and maintainability. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Integrate APIs and third-party tools to enhance functionality. Document processes, code, and best practices for maintainability. Required Skills & Qualifications: 5-6 years of professional experience in Python application development. Strong expertise in Machine Learning, Data Analytics, and AI frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Proficiency in Python libraries such as Pandas, NumPy, SciPy, and Matplotlib. Experience with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.). Hands-on experience with big data technologies (Apache Spark, Delta Lake, Hadoop, etc.). Strong experience in developing APIs and microservices using FastAPI, Flask, or Django. Good understanding of data structures, algorithms, and software development best practices. Strong problem-solving and debugging skills. Ability to work independently and handle multiple projects simultaneously. Good to have - Working knowledge of cloud platforms (Azure/AWS/GCP) for deploying ML models and data applications. Job Type: Full-time Pay: ₹500,000.00 - ₹1,000,000.00 per year Schedule: Fixed shift Work Location: In person Application Deadline: 30/06/2025 Expected Start Date: 01/07/2025

The Apps Support Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual. 6-8 years of strong Application production support experience in the financial industry Experience using call/ticketing software Hadoop/Big Data Platform Working knowledge of various components and technologies under Cloudera distribution like HDFS, Hive, Impala, Spark, YARN, Sentry, Oozie, Kafka. Very good knowledge on analyzing the bottlenecks on the cluster - performance tuning, effective resource usage, capacity planning, investigating. Perform daily performance monitoring of the cluster - Implement best practices, ensure cluster staility and create/analyze performance metrics. Hands-on experience in supporting applications built on Hadoop. Linux 4 - 6 years of experience Database Good SQL experience in any of the RDBMS. Scheduler Autosys / CONTROL-M or other schedulers will be of added advantage. Programming Languages UNIX shell scripting, Python / PERL will be of added advantage. Other Applications Knowledge / working experience of ITRS Active Console/other monitoring tools. - Job Family Group: Technology - Job Family: Applications Support - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing… We are looking for data engineers who can work with world class team members to help drive telecom business to its full potential. We are building data products / assets for telecom wireless and wireline business which includes consumer analytics, telecom network performance and service assurance analytics etc. We are working on cutting edge technologies like digital twin to build these analytical platforms and provide data support for varied AI ML implementations. As a data engineer you will be collaborating with business product owners, coaches, industry renowned data scientists and system architects to develop strategic data solutions from sources which includes batch, file and data streams As a Data Engineer with ETL/ELT expertise for our growing data platform & analytics teams, you will understand and enable the required data sets from different sources both structured and unstructured data into our data warehouse and data lake with real-time streaming and/or batch processing to generate insights and perform analytics for business teams within Verizon. Understanding the business requirements and converting them to technical design. Working on Data Ingestion, Preparation and Transformation. Developing data streaming applications. Debugging the production failures and identifying the solution. Working on ETL/ELT development. Understanding devops process and contributing for devops pipelines What We’re Looking For... You’re curious about new technologies and the game-changing possibilities it creates. You like to stay up-to-date with the latest trends and apply your technical expertise to solving business problems. You’ll need to have… Bachelor’s degree or four or more years of work experience. Four or more years of relevant work experience. Experience with Data Warehouse concepts and Data Management life cycle. Experience in Big Data technologies - GCP/Hadoop/Spark/Composer/DataFlow/Bigquery. Experience in complex SQL. Experience working on Streaming ETL pipelines Expertise in Java Experience with MemoryStore / Redis / Spanner Experience in troubleshooting the data issues. Experience with data pipeline and workflow management & Governance tools. Knowledge of Information Systems and their applications to data management processes. Even better if you have one or more of the following… Three or more years of relevant experience. Any relevant Certification on ETL/ELT developer. Certification in GCP-Data Engineer. Accuracy and attention to detail. Good problem solving, analytical, and research capabilities. Good verbal and written communication. Experience presenting to and influence stakeholders. Experience in driving a small team of 2 or more members for technical delivery #AI&D Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

The SAS to Databricks Migration Developer will be responsible for migrating existing SAS code, data processes, and workflows to the Databricks platform. This role requires expertise in both SAS and Databricks, with a focus on converting SAS logic into scalable PySpark and Python code. The developer will design, implement, and optimize data pipelines, ensuring seamless integration and functionality within the Databricks environment. Collaboration with various teams is essential to understand data requirements and deliver solutions that meet business needs

Noida, Uttar Pradesh, India;Indore, Madhya Pradesh, India;Bangalore, Karnataka, India;Hyderabad, Telangana, India;Gurgaon, Haryana, India Qualification : Required Proven hands-on experience on designing, developing and supporting Database projects for analysis in a demanding environment. Proficient in database design techniques – relational and dimension designs Experience and a strong understanding of business analysis techniques used. High proficiency in the use of SQL or MDX queries. Ability to manage multiple maintenance, enhancement and project related tasks. Ability to work independently on multiple assignments and to work collaboratively within a team is required. Strong communication skills with both internal team members and external business stakeholders Added Advanatage Hadoop ecosystem or AWS, Azure or GCP Cluster and processing Experience working on Hive or Spark SQL or Redshift or Snowflake will be an added advantage. Experience of working on Linux system Experience of Tableau or Micro strategy or Power BI or any BI tools will be an added advantage. Expertise of programming in Python, Java or Shell Script would be a plus Role : Roles & Responsibilities Be frontend person of the world’s most scalable OLAP product company – Kyvos Insights. Interact with senior-most technical and business people of large enterprises to understand their big data strategy and their problem statements in that area. Create, present, align customers with and implement solutions around Kyvos products for the most challenging enterprise BI/DW problems. Be the Go-To person for customers regarding technical issues during the project. Be instrumental in reading the pulse of the big data market and defining the roadmap of the product. Lead a few small but highly efficient teams of Big data engineers Efficient task status reporting to stakeholders and customer. Good verbal & written communication skills Be willing to work on off hours to meet timeline. Be willing to travel or relocate as per project requirement Experience : 5 to 10 years Job Reference Number : 11078

Noida, Uttar Pradesh, India;Gurgaon, Haryana, India;Bangalore, Karnataka, India;Indore, Madhya Pradesh, India;Pune, Maharashtra, India Qualification : Job Title: Senior Big Data Cloud QA Job Description: We are seeking an experienced Senior Big Data Cloud Quality Assurance Engineer to join our dynamic team. In this role, you will be responsible for ensuring the quality and performance of our big data applications and services deployed in cloud environments. You will work closely with developers, product managers, and other stakeholders to define testing strategies, develop test plans, and execute comprehensive testing processes. Key Responsibilities: Design and implement test plans and test cases for big data applications in cloud environments. Perform functional, performance, and scalability testing on large datasets. Identify, record, and track defects using bug tracking tools. Collaborate with development teams to understand product requirements and provide feed on potential quality issues early in the development cycle. Develop and maintain automated test scripts and frameworks for continuous integration and deployment. Analyze test results and provide detailed reports on the quality of releases. Mentor junior QA team members and share best practices in testing methodologies and tools. Stay updated on industry trends and advancements in big data and cloud technologies to continuously improve QA processes. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field. Minimum of 5 years of experience in software testing, with at least 2 years focused on big data applications and cloud technologies. Proficiency in testing frameworks and tools, such as JUnit, TestNG, Apache JMeter, or similar. Experience with big data technologies, such as Hadoop, Spark, or distributed databases. Strong understanding of cloud platforms, such as AWS, Azure, or Google Cloud. Familiarity with programming languages such as Java, Python, or Scala. Excellent analytical and problem-solving skills, with a keen attention to detail. Strong communication skills, both verbal and written, along with the ability to work collaboratively in a team environment. If you are a motivated and detail-oriented professional looking to advance your career in big data quality assurance, we encourage you to for this exciting opportunity. Skills Required : ETL Testing, Bigdata, Database Testing, API Testing, Selenium, SQL, Linux, Cloud Testing Role : Job Title: Senior Big Data Cloud QA Roles and Responsibilities: 1. Design and implement comprehensive test plans and test cases for big data applications deployed in cloud environments. 2. Collaborate with data engineers and developers to understand system architecture and data flow for effective testing. 3. Perform manual and automated testing for big data processing frameworks and tools, ensuring data quality and integrity. 4. Lead and mentor junior QA team members, providing guidance on best practices for testing big data solutions. 5. Identify and document defects, track their resolution, and verify fixes in a timely manner. 6. Develop and maintain automated test scripts using appropriate testing frameworks compatible with cloud big data platforms. 7. Execute performance testing to assess the scalability and reliability of big data applications in cloud environments. 8. Participate in design and code reviews, providing insights on testability and quality. 9. Work with stakeholders to define acceptance criteria and ensure that deliverables meet business requirements. 10. Stay updated on industry trends and advancements in big data technologies and cloud services to continually improve testing processes. 11. Ensure compliance with security and data governance policies during testing activities. 12. Provide detailed reports and metrics on testing progress, coverage, and outcomes to project stakeholders. Experience : 5 to 7 years Job Reference Number : 12944

Noida, Uttar Pradesh, India;Gurgaon, Haryana, India;Hyderabad, Telangana, India;Indore, Madhya Pradesh, India;Bangalore, Karnataka, India Qualification : 5-7 years of good hands on exposure with Big Data technologies – pySpark (Data frame and SparkSQL), Hadoop, and Hive Good hands on experience of python and Bash Scripts Good understanding of SQL and data warehouse concepts Strong analytical, problem-solving, data analysis and research skills Demonstrable ability to think outside of the box and not be dependent on readily available tools Excellent communication, presentation and interpersonal skills are a must Good to have: Hands-on experience with using Cloud Platform provided Big Data technologies (i.e. IAM, Glue, EMR, RedShift, S3, Kinesis) Orchestration with Airflow and Any job scheduler experience Experience in migrating workload from on-premise to cloud and cloud to cloud migrations Skills Required : Python, Pyspark, AWS Role : Develop efficient ETL pipelines as per business requirements, following the development standards and best practices. Perform integration testing of different created pipeline in AWS env. Provide estimates for development, testing & deployments on different env. Participate in code peer reviews to ensure our applications comply with best practices. Create cost effective AWS pipeline with required AWS services i.e S3,IAM, Glue, EMR, Redshift etc. Experience : 8 to 10 years Job Reference Number : 13025

Noida, Uttar Pradesh, India;Bangalore, Karnataka, India;Gurugram, Haryana, India;Hyderabad, Telangana, India;Indore, Madhya Pradesh, India;Pune, Maharashtra, India Qualification : Do you love to work on bleeding-edge Big Data technologies, do you want to work with the best minds in the industry, and create high-performance scalable solutions? Do you want to be part of the team that is solutioning next-gen data platforms? Then this is the place for you. You want to architect and deliver solutions involving data engineering on a Petabyte scale of data, that solve complex business problems Impetus is looking for a Big Data Developer that loves solving complex problems, and architects and delivering scalable solutions across a full spectrum of technologies. Experience in providing technical leadership in the Big Data space (Hadoop Stack like Spark, M/R, HDFS, Hive, etc. Should be able to communicate with the customer in the functional and technical aspects Expert-level proficiency in Python/Pyspark Hands-on experience with Shell/Bash Scripting (creating, and modifying scripting files) Control-M, AutoSys, Any job scheduler experience Experience in visualizing and evangelizing next-generation infrastructure in Big Data space (Batch, Near Real-time, Real-time technologies). Should be able to guide the team for any functional and technical issues Strong technical development experience in effectively writing code, code reviews, and best practices code refactoring. Passionate for continuous learning, experimenting, ing and contributing towards cutting-edge open-source technologies and software paradigms Good communication, problem-solving & interpersonal skills. Self-starter & resourceful personality with the ability to manage pressure situations. Capable of providing the design and Architecture for typical business problems. Exposure and awareness of complete PDLC/SDLC. Out of box thinker and not just limited to the work done in the projects. Must Have Experience with AWS(EMR, Glue, S3, RDS, Redshift, Glue) Cloud Certification Skills Required : AWS, Pyspark, Spark Role : valuate and recommend the Big Data technology stack best suited for customer needs. Design/ Architect/ Implement various solutions arising out of high concurrency systems Responsible for timely and quality deliveries Anticipate on technological evolutions Ensure the technical directions and choices. Develop efficient ETL pipelines through spark or Hive. Drive significant technology initiatives end to end and across multiple layers of architecture Provides strong technical leadership in adopting and contributing to open-source technologies related to Big Data across multiple engagements Designing /architecting complex, highly available, distributed, failsafe compute systems dealing with a considerable amount (GB/TB) of data Identify and work on incorporating Non-functional requirements into the solution (Performance, scalability, monitoring etc.) Experience : 8 to 12 years Job Reference Number : 12400

Noida, Uttar Pradesh, India;Hyderabad, Telangana, India;Indore, Madhya Pradesh, India;Bangalore, Karnataka, India;Pune, Maharashtra, India Qualification : Job Descriptions for Technical Architect Position Summary: We are looking for candidates with hands on experience in Big Data and Cloud Technologies. Must have technical Skills 10+ Years of experience Expertise in designing and developing applications using Big Data and Cloud technologies – Must Have Expertise and hands-on experience* on Spark, and Hadoop echo system components – Must Have Expertise and hands-on experience* of any of the Cloud (AWS/Azure/GCP) – Must Have Good knowledge of Shell script & Java/Python – Must Have Good knowledge of migration projects on Hadoop – Good to Have Good Knowledge of one of the Workflow engine like Oozie, Autosys – Good to Have Good knowledge of Agile Development– Good to Have Passionate about exploring new technologies – Must Have Automation approach - – Good to Have Good Communication Skills – Must Have Data Ingestion, Processing and Orchestration knowledge Skills Required : Solution Architecting, Solution Design, orchestration, migration Role : Responsibilities Define Data Warehouse modernization approach and strategy for the customer Align the customer on the overall approach and solution Design systems for meeting performance SLA Resolve technical queries and issues for team Work with the team to establish an end-to-end migration approach for one use case so that the team can replicate the same for other iterations Experience : 10 to 15 years Job Reference Number : 12968

Noida/ Indore/ Bangalore;Bangalore, Karnataka, India;Indore, Madhya Pradesh, India;Gurugram, Haryana, India Qualification : OLAP, Data Engineering, Data warehousing, ETL Hadoop ecosystem or AWS, Azure or GCP Cluster and processing Experience working on Hive or Spark SQL or Redshift or Snowflake Experience in writing and troubleshooting SQL programming or MDX queries Experience of working on Linux Experience in Microsoft Analysis services (SSAS) or OLAP tools Tableau or Micro strategy or any BI tools Expertise of programming in Python, Java or Shell Script would be a plus Skills Required : OLPA, MDX, SQL Role : Be frontend person of the world’s most scalable OLAP product company – Kyvos Insights. Interact with senior-most technical and business people of large enterprises to understand their big data strategy and their problem statements in that area. Create, present, align customers with and implement solutions around Kyvos products for the most challenging enterprise BI/DW problems. Be the Go-To person for prospects regarding technical issues during POV stage. Be instrumental in reading the pulse of the big data market and defining the roadmap of the product. Lead a few small but highly efficient teams of Big data engineers Efficient task status reporting to stakeholders and customer. Good verbal & written communication skills Be willing to work on off hours to meet timeline. Be willing to travel or relocate as per project requirement Experience : 3 to 6 years Job Reference Number : 10350

Noida, Uttar Pradesh, India;Gurgaon, Haryana, India;Hyderabad, Telangana, India;Bangalore, Karnataka, India;Indore, Madhya Pradesh, India Qualification : 6-8 years of good hands on exposure with Big Data technologies – pySpark (Data frame and SparkSQL), Hadoop, and Hive Good hands on experience of python and Bash Scripts Good understanding of SQL and data warehouse concepts Strong analytical, problem-solving, data analysis and research skills Demonstrable ability to think outside of the box and not be dependent on readily available tools Excellent communication, presentation and interpersonal skills are a must Hands-on experience with using Cloud Platform provided Big Data technologies (i.e. IAM, Glue, EMR, RedShift, S3, Kinesis) Orchestration with Airflow and Any job scheduler experience Experience in migrating workload from on-premise to cloud and cloud to cloud migrations Good to have: Skills Required : Python, pyspark, SQL Role : Develop efficient ETL pipelines as per business requirements, following the development standards and best practices. Perform integration testing of different created pipeline in AWS env. Provide estimates for development, testing & deployments on different env. Participate in code peer reviews to ensure our applications comply with best practices. Create cost effective AWS pipeline with required AWS services i.e S3,IAM, Glue, EMR, Redshift etc. Experience : 6 to 8 years Job Reference Number : 13024

1. Write efficient, reusable, and testable Python code following best practices and coding standards. 2. Good idea about scraping technologies in Python. 3. Design, develop, and deploy serverless applications using Chalice and AWS Lambda. 4. Integrate AWS services like API Gateway, DynamoDB, S3, and others as required for application functionality. 5. Optimize applications for performance, scalability, and cost-effectiveness on AWS. 6. Collaborate with front-end developers and other stakeholders to deliver seamless user experiences. 7. Work closely with DevOps teams to ensure smooth deployment and continuous integration. 8. Debug and resolve issues related to application functionality, performance, and integration with AWS services. 9. Stay up-to-date with the latest trends and advancements in serverless computing and AWS services. 10. Conduct code reviews to maintain code quality and provide constructive feedback to team members. 11. Document application design, architecture, and implementation for knowledge sharing and future reference. Technical Skills-  Previous experience in programming and software development.  Python frameworks like Django, Flask, etc.  Web frameworks and RESTful APIs.  Core Python fundamentals and programming and familiar with Oop sconcept.  Code packaging, release, and deployment.  Database knowledge of Mysql, Postgres and Mongodb.  Circles, conditional and control statements.  Object-relational mapping.  Code versioning tools like Git, SVN, etc.  Front-end technologies like JS, CSS3 and HTML5.  Production level deployment experience using Nginx, Gunicorn, Ansibleetc.  Knowledge of Python, Django, or other programming languages, experience with AWS and Linux a plus.  Should have knowledge of data science and machine learning concepts.  Knowledge of Big data, Hadoop, Scala is plus. Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹45,000.00 per month Schedule: Day shift Monday to Friday Work Location: In person

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 : SAP HANA DB Administration, PostgreSQL Administration, Hadoop Administration Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 16 years full time education Cloud Database Engineer HANA Required Skills: • SAP HANA Database Administration - Knowledge of clustering, replication, and load balancing techniques to ensure database availability and reliability • Proficiency in monitoring and maintaining the health and performance of high availability systems • Experience with public cloud platforms such as GCP, AWS, or Azure • Strong troubleshooting skills and the ability to provide effective resolutions for technical issues Desired Skills: • Understanding of Cassandra, Ansible, Terraform, Kafka, Redis, Hadoop or Postgres. • Growth and product mindset and a strong focus on automation. • Working knowledge of Kubernetes for container orchestration and scalability. Activities: • Collaborate closely with cross-functional teams to gather requirements and support SAP teams to execute database initiatives. • Automate the provisioning and configuration of cloud infrastructure, ensuring efficient and reliable deployments. • Provide operational support to monitor database performance, implement changes, and apply new patches and versions when required and previously agreed . • Act as the point of contact for escalated technical issues with our Engineering colleagues, demonstrating deep troubleshooting skills to provide effective resolutions to unblock our partners. Requirements: • Bachelor’s degree in computer science, Engineering, or a related field. • Proven experience in planning, deploying, supporting, and optimizing highly scalable and resilient SAP HANA database systems. • Ability to collaborate effectively with cross-functional teams to gather requirements and convert them into measurable scopes. • troubleshooting skills and the ability to provide effective resolutions for technical issues. • Familiarity with public cloud platforms such as GCP, AWS, or Azure. • Understands Agile principles and methodologies. 16 years full time education

Indore, Madhya Pradesh, India;Bengaluru, Karnataka, India;Pune, Maharashtra, India;Hyderabad, Telangana, India;Noida, Uttar Pradesh, India Qualification : 15+ years of experience in the role of managing and implementing of high-end software products. Expertise in Java/ J2EE or EDW/SQL OR Hadoop/Hive/Spark and preferably hands-on. Good knowledge* of any of the Cloud (AWS/Azure/GCP) – Must Have Managed/ delivered and implemented complex projects dealing with considerable data size (TB/ PB) and with high complexity Experience in handling migration projects Good to have: Data Ingestion, Processing and Orchestration knowledge Skills Required : Java Architecture, Big Data, Cloud Technologies Role : Senior Technical Project Managers (STPMs) are in charge of handling all aspects of technical projects. This is a multi-dimensional and multi-functional role. You will need to be comfortable reporting program status to executives, as well as diving deep into technical discussions with internal engineering teams and external partners. You should collaborate with, and leverage, colleagues in business development, product management, analytics, marketing, engineering, and partner organizations. You have to manage multiple projects and ensures all releases on time. You are responsible for manage and deliver the technical solution to support an organization’s vision and strategic direction. The technology program manager delivers the technical solution to support an organization’s vision and strategic direction. You should be capable to working with a different type of customer and should possess good customer handling skills. Experience in working in ODC model and capable of presenting the Technical Design and Architecture to Senior Technical stakeholders. Should have experience in defining the project and delivery plan for each assignment Capable of doing resource allocations as per the requirements for each assignment Should have experience of driving RFPs. Should have experience of Account management – Revenue Forecasting, Invoicing, SOW creation etc. Experience : 15 to 20 years Job Reference Number : 13010

Indore, Madhya Pradesh, India Qualification : BTech degree in computer science, engineering or related field of study or 12+ years of related work experience 7+ years design & implementation experience with large scale data centric distributed applications Professional experience architecting, operating cloud-based solutions with good understanding of core disciplines like compute, networking, storage, security, databases etc. Good understanding of data engineering concepts like storage, governance, cataloging, data quality, data modeling etc. Good understanding about various architecture patterns like data lake, data lake house, data mesh etc. Good understanding of Data Warehousing concepts, hands-on experience working with tools like Hive, Redshift, Snowflake, Teradata etc. Experience migrating or transforming legacy customer solutions to the cloud. Experience working with services like AWS EMR, Glue, DMS, Kinesis, RDS, Redshift, Dynamo DB, Document DB, SNS, SQS, Lambda, EKS, Data Zone etc. Thorough understanding of Big Data ecosystem technologies like Hadoop, Spark, Hive, HBase etc. and other competent tools and technologies Understanding in designing analytical solutions leveraging AWS cognitive services like Textract, Comprehend, Rekognition etc. in combination with Sagemaker is good to have. Experience working with modern development workflows, such as git, continuous integration/continuous deployment pipelines, static code analysis tooling, infrastructure-as-code, and more. Experience with a programming or scripting language – Python/Java/Scala AWS Professional/Specialty certification or relevant cloud expertise Skills Required : AWS, Big Data, Spark, Technical Architecture Role : Drive innovation within Data Engineering domain by designing reusable and reliable accelerators, blueprints, and libraries. Capable of leading a technology team, inculcating innovative mindset and enable fast paced deliveries. Able to adapt to new technologies, learn quickly, and manage high ambiguity. Ability to work with business stakeholders, attend/drive various architectural, design and status calls with multiple stakeholders. Exhibit good presentation skills with a high degree of comfort speaking with executives, IT Management, and developers. Drive technology/software sales or pre-sales consulting discussions Ensure end-to-end ownership of all tasks being aligned. Ensure high quality software development with complete documentation and traceability. Fulfil organizational responsibilities (sharing knowledge & experience with other teams / groups) Conduct technical training(s)/session(s), write whitepapers/ case studies / blogs etc. Experience : 10 to 18 years Job Reference Number : 12895

Indore, Madhya Pradesh, India;Bangalore, Karnataka, India;Noida, Uttar Pradesh, India Qualification : Pre-Sales Solution Engineer - India Experience areas or Skills : Pre-Sales experience of Software or analytics products Excellent verbal & written communication skills OLAP tools or Microsoft Analysis services (MSAS) Data engineering or Data warehouse or ETL Hadoop ecosystem or AWS, Azure or GCP Cluster and processing Tableau or Micro strategy or any BI tool Hive QL or Spark SQL or PLSQL or TSQL Writing and troubleshooting SQL programming or MDX queries Working on Linux programming in Python, Java or Java Script would be a plus Filling RFP or Questioner from Customer NDA, Success Criteria, Project closure and other Documentation Be willing to travel or relocate as per requirement Role : Acts as main point of contact for Customer contacts involved in the evaluation process Product demonstrations to qualified leads Product demonstrations in support of marketing activity such as events or webinars Own RFP, NDA, PoC success criteria document, POC Closure and other documents Secures alignment on Process and documents with the customer / prospect Owns the technical win phases of all active opportunities Understand Customer domain and database schema Providing OLAP and Reporting solution Work closely with customers for understanding and resolving environment or OLAP cube or reporting related issues Co-ordinate with solutioning team for execution of PoC as per success plan Creates enhancement requests or identify requests for new features on behalf of customers or hot prospects Experience : 3 to 6 years Job Reference Number : 10771

We are looking for a PySpark solutions developer and data engineer who can design and build solutions for one of our Fortune 500 Client programs, which aims towards building a data standardized and curation needs on Hadoop cluster. This is high visibility, fast-paced key initiative will integrate data across internal and external sources, provide analytical insights, and integrate with the customers critical systems. Key Responsibilities Ability to design, build and unit test applications on Spark framework on Python. Build PySpark based applications for both batch and streaming requirements, which will require in-depth knowledge on majority of Hadoop and NoSQL databases as well. Develop and execute data pipeline testing processes and validate business rules and policies. Build integrated solutions leveraging Unix shell scripting, RDBMS, Hive, HDFS File System, HDFS File Types, HDFS compression codec. Create and maintain integration and regression testing framework on Jenkins integrated with Bit Bucket and/or GIT repositories. Participate in the agile development process, and document and communicate issues and bugs relative to data standards in scrum meetings. Work collaboratively with onsite and offshore team. Develop & review technical documentation for artifacts delivered. Ability to solve complex data-driven scenarios and triage towards defects and production issues. Ability to learn-unlearn-relearn concepts with an open and analytical mindset. Participate in code release and production deployment. Preferred Qualifications BE/B.Tech/ B.Sc. in Computer Science/ Statistics from an accredited college or university. Minimum 3 years of extensive experience in design, build and deployment of PySpark-based applications. Expertise in handling complex large-scale Big Data environments preferably (20Tb+). Minimum 3 years of experience in the following: HIVE, YARN, HDFS. Hands-on experience writing complex SQL queries, exporting, and importing large amounts of data using utilities. Ability to build abstracted, modularized reusable code components. Prior experience on ETL tools preferably Informatica PowerCenter is advantageous. Able to quickly adapt and learn. Able to jump into an ambiguous situation and take the lead on resolution. Able to communicate and coordinate across various teams. Are comfortable tackling new challenges and new ways of working Are ready to move from traditional methods and adapt into agile ones Comfortable challenging your peers and leadership team. Can prove yourself quickly and decisively. Excellent communication skills and Good Customer Centricity. Strong Target & High Solution Orientation. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.