Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the application development process and ensuring successful project delivery. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process- Ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse- Strong understanding of data warehousing concepts- Experience in designing and implementing data warehouse solutions- Knowledge of ETL processes and data modeling- Hands-on experience with SQL and database management Additional Information:- The candidate should have a minimum of 7.5 years of experience in Snowflake Data Warehouse- This position is based at our Pune office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse, Core Banking, PySpark Good to have skills : AWS BigDataMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Core Banking, PySpark.- Good To Have Skills: Experience with AWS BigData.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with data governance and data quality frameworks. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the development process. Your role will require a balance of technical expertise and leadership skills to drive the project forward successfully. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Good To Have Skills: Experience with Apache Hadoop.- Strong understanding of data processing frameworks.- Experience in application design and architecture.- Familiarity with cloud platforms and services. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Informatica Data Quality Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with team members to enhance data workflows and contribute to the overall efficiency of data management practices within the organization. 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.- Assist in the design and implementation of data architecture to support data initiatives.- Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica Data Quality.- Strong understanding of data integration techniques and ETL processes.- Experience with data quality assessment and improvement methodologies.- Familiarity with data governance principles and best practices.- Ability to work with large datasets and perform data cleansing. Additional Information:- The candidate should have minimum 3 years of experience in Informatica Data Quality.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor and evaluate the performance of AI models and systems to ensure optimal functionality. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R for model development.- Knowledge of data preprocessing techniques and data pipeline management. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, while also troubleshooting and optimizing existing data workflows to enhance performance and reliability. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Develop and implement best practices for data management and governance.- Monitor and optimize data pipelines to ensure efficiency and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and data integration techniques.- Familiarity with cloud data warehousing solutions and architecture.- Knowledge of SQL and data querying languages. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse, Core Banking, PySpark Good to have skills : AWS BigDataMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Your role will also include troubleshooting data issues and optimizing data workflows to enhance performance and reliability. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve data processes to ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Core Banking, PySpark.- Good To Have Skills: Experience with AWS BigData.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with cloud-based data solutions and architectures. Additional Information:- The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse, Core Banking, PySpark Good to have skills : AWS BigDataMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data processing workflow. Your role will be pivotal in enhancing the efficiency and reliability of data operations within the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processing workflows to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Core Banking, PySpark.- Good To Have Skills: Experience with AWS BigData.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with cloud-based data solutions and architectures. Additional Information:- The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Lead Data Engineer Overview We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. Our Team Within Mastercard – Services The Services org is a key differentiator for Mastercard, providing the cutting-edge services that are used by some of the world's largest organizations to make multi-million-dollar decisions and grow their businesses. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Advanced Analytics Program Within the Services Technology Team, the Advanced Analytics program is a relatively new program that is comprised of a rich set of products that provide accurate perspectives on Credit Risk, Portfolio Optimization, and Ad Insights. Currently, we are enhancing our customer experience with new user interfaces, moving to API and web application-based data publishing to allow for seamless integration in other Mastercard products and externally, utilizing new data sets and algorithms to further analytic capabilities, and generating scalable big data processes. We are looking for an innovative lead data engineer who will lead the technical design and development of an Analytic Foundation. The Analytic Foundation is a suite of individually commercialized analytical capabilities that also includes a comprehensive data platform. These services will be offered through a series of APIs that deliver data and insights from various points along a central data store. This individual will partner closely with other areas of the business to build and enhance solutions that drive value for our customers. Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. The range of work you will encounter varies from building intuitive, responsive UIs to designing backend data models, architecting data flows, and beyond. There are no rigid organizational structures, and each team uses processes that work best for its members and projects. Here are a few examples of products in our space: Portfolio Optimizer (PO) is a solution that leverages Mastercard’s data assets and analytics to allow issuers to identify and increase revenue opportunities within their credit and debit portfolios. Audiences uses anonymized and aggregated transaction insights to offer targeting segments that have high likelihood to make purchases within a category to allow for more effective campaign planning and activation. Credit Risk products are a new suite of APIs and tooling to provide lenders real-time access to KPIs and insights serving thousands of clients to make smarter risk decisions using Mastercard data. Help found a new, fast-growing engineering team! Position Responsibilities As a Lead Data Engineer within Advanced Analytics team, you will: Lead collaboration with data scientists to understand the existing modeling pipeline and identify optimization opportunities. Oversee the integration and management of data from various sources and storage systems, establishing processes and pipelines to produce cohesive datasets for analysis and modeling. Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features Design and develop data pipelines to automate repetitive tasks within data science and data engineering. Demonstrated experience leading cross-functional teams or working across different teams to solve complex problems. Identify patterns and innovative solutions in existing spaces, consistently seeking opportunities to simplify, automate tasks, and build reusable components for multiple use cases and teams. Create data products that are well-modeled, thoroughly documented, and easy to understand and maintain. Comfortable leading projects in environments with undefined or ambiguous requirements. Mentor junior data engineers Ideal Candidate Qualifications High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Oozie, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms Extensive experience with Spark Processing engine. Proficiency in, at least, one modern programming language such as Python, Java or Scala Strong Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis. Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it Working Knowledge in Software Development engineering Paradigms along with Data Engineering. Relational Databases as well as NoSQL experience Experience in cloud technologies like Databricks/AWS/Azure Basic Shell scripting and knowledge of Linux/Unix systems Experience in designing & developing software at scale Strong written and verbal English communication skills. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-248104 Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Alteryx Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Be involved in the end-to-end data management process. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead data solution architecture design.- Implement data governance policies and procedures.- Optimize data storage and retrieval processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Alteryx.- Strong understanding of data modeling and database design.- Experience with data integration tools and techniques.- Knowledge of data warehousing concepts.- Hands-on experience with SQL and scripting languages. Additional Information:- The candidate should have a minimum of 5 years of experience in Alteryx.- This position is based at our Mumbai office.- A 15 years full-time education is required. Qualification 15 years full time education

Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

Who are you: Delivery Manager for Large Data transformation engagements, especially for the Financial Sector managing the contractual client deliverables with customer satisfaction while mitigating risks. What you’ll do: 1.End to End Delivery Orchestration corresponding to the contract. 2.Project Planning (WBS, Goal Setting), estimation and Schedule management 3.Client communication and stakeholder Management 4.Identifications of risks and working out the mitigating action plan. 5.Issue Management and assignment. 6. Management of Client Commitments 7.Financial Management (Revenue & Gross Profit) 8.1. Base Account Growth Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 1.15+ years of experience in executing Banking Data Transformation projects 2.Of the 15+ years of experience, a minimum of 7 years of having worked as a functional team leader and at least 5 years as a technical team member. 3.Strong understanding of Data Lakehouse, Data Mesh and related architectures applicable in the Financial Services Sector and delivery risks associated. 4.Understanding of the following: a.ETL/ELT processes, and data pipeline orchestration b.Industry Data Model c.Understanding of Banking Book and performance measurement in each of them d.Understanding of accuracy of data needed in for various analysis e.Understanding data reconciliation. 5.Agile Project Management Delivery Methodology and project tracking methods and tools Preferred technical and professional experience 1.Knowledge of various industry data stacks used by Banking Industry 2.Experience in vendor management and contracting 3.Knowledge of data security frameworks and experience of supporting regulatory audits in the financial sector 4.PMP, PRINCE2, or Agile/Scrum certification

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Your primary responsibilities include: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Must have 5+ years exp in Big Data -Hadoop Spark -Scala ,Python Hbase, Hive Good to have Aws -S3, athena ,Dynomo DB, Lambda, Jenkins GIT Developed Python and pyspark programs for data analysis. Good working experience with python to develop Custom Framework for generating of rules (just like rules engine). Developed Python code to gather the data from HBase and designs the solution to implement using Pyspark. Apache Spark DataFrames/RDD's were used to apply business transformations and utilized Hive Context objects to perform read/write operations Preferred technical and professional experience Understanding of Devops. Experience in building scalable end-to-end data ingestion and processing solutions Experience with object-oriented and/or functional programming languages, such as Python, Java and Scala

As a BigData Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Big Data Developer, Hadoop, Hive, Spark, PySpark, Strong SQL. Ability to incorporate a variety of statistical and machine learning techniques. Basic understanding of Cloud (AWS,Azure, etc). Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed. Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and Java Preferred technical and professional experience Basic understanding or experience with predictive/prescriptive modeling skills You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions

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

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact Responsibilities: Responsible to manage end to end feature development and resolve challenges faced in implementing the same Learn new technologies and implement the same in feature development within the time frame provided Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back end software system fixing the issues reported on Content Management back end software system Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Overall, more than 6 years of experience with more than 4+ years of Strong Hands on experience in Python and Spark Strong technical abilities to understand, design, write and debug to develop applications on Python and Pyspark. Good to Have;- Hands on Experience on cloud technology AWS/GCP/Azure strong problem-solving skill Preferred technical and professional experience Good to Have;- Hands on Experience on cloud technology AWS/GCP/Azure

Minimum 3 years of experience in developing applications programs to implement the ETL workflow by creating the ETL jobs, data models in datamarts using Snowflake, DBT, Unix, SQL technologies. Redesign Control M Batch processing for the ETL job build to run efficiently in Production. Study existing system to evaluate effectiveness and developed new system to improve efficiency and workflow. Responsibilities: Perform requirements identification; conduct business program analysis, testing, and system enhancements while providing production support. Developer should have good understanding of working in Agile environment, Good understanding of JIRA, Sharepoint tools. Good written and verbal communication skills are a MUST as the candidate is expected to work directly with client counterpart." Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Intuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications Preferred technical and professional experience Responsible to develop triggers, functions, stored procedures to support this effort Assist with impact analysis of changing upstream processes to Data Warehouse and Reporting systems. Assist with design, testing, support, and debugging of new and existing ETL and reporting processes. Perform data profiling and analysis using a variety of tools. Troubleshoot and support production processes. Create and maintain documentation.

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop/Convert the database (Hadoop to GCP) of the specific objects (tables, views, procedures, functions, triggers, etc.) from one database to another database platform Implementation of a specific Data Replication mechanism (CDC, file data transfer, bulk data transfer, etc.). Expose data as API Participation in modernization roadmap journey Analyze discovery and analysis outcomes Lead discovery and analysis workshops/playbacks Identification of the applications dependencies, source, and target database incompatibilities. Analyze the non-functional requirements (security, HA, RTO/RPO, storage, compute, network, performance bench, etc.). Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Leads the team to adopt right tools for various migration and modernization method Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Collaborate with stakeholders to gather requirements and design data quality, data governance, and master data management solutions using Ataccama. Responsible for design and implement data matching and deduplication strategies using Ataccama Data Matching Responsible for developing and maintain data quality rules, data profiling, and data cleansing processes within Ataccama Data Quality Center Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 plus years of experience Experience in the optimization of Ataccama data management solutions. Develop and maintain data quality rules, data profiling, and data cleansing processes within Ataccama Data Quality Center. Design and implement data matching and deduplication strategies using Ataccama Data Matching Preferred technical and professional experience Utilize Ataccama Data Catalog for metadata management, data lineage tracking, and data discovery.. Provide expertise in integrating Ataccama with other data management tools and platforms within the organization's ecosystem. Collaborate with stakeholders to gather requirements and design data quality, data governance, and master data management solutions using Ataccama

Your Role Experience in data engineering and end-to-end implementation of CDP projects. Proficient in SQL, CDP (TreasureData), Python/Dig-Dag, Presto/SQL, and data engineering. Hands-on experience with Treasure Data CDP implementation and management. Excellent SQL skills, including advanced query writing and optimization. Oversee the end-to-end maintenance and operation of the Treasure Data CDP. Familiarity with data integration, API operations, and audience segmentation. Your profile Experience in unifying data across multiple brands and regions, ensuring consistency and accuracy. Ability to create and manage data workflows in Treasure Data Collaborate with cross-functional teams to ensure successful data integration and usage. Troubleshoot and optimize data pipelines and processes for scalability and performance. Stay updated on the latest features and best practices in Treasure Data and related technologies.

Key Responsibilities The Business Solution Lead will be a key member of Trade Business Engineering team and responsible for delivering the functional design and mapping business requirements to systems/technical design. The role holder will form a key part of a fast-paced, ambitious, delivery programme. Deliver Functional Design Participate in business process re-engineering Play proxy Product Owner role (as required) Work closely with product management to create and maintain a product backlog according to business value Support Product Owner in product backlog management and prioritization process Lead the product release planning and set expectation for delivery of new functionalities. Ensure that Agile development team always have an adequate amount of prior prepared tasks to work on Assess value, develop cases and prioritize stories, epics and themes with acceptance criteria to ensure focus on those with maximum value that are aligned with product strategy Support Product Owner in gathering and analysing requirements and breaking them down into Epics and User Stories. Design the system capabilities as per requirements and create appropriate design documents (FSDs). Ensure well defined Acceptance Criteria that will help in Test Driven/ Behaviour Driven Development Walk through user stories with the development team and provide functional clarifications Provide functional consultancy support to development team for Technical Design Prepare User guides, Business Cases, Training Material Providing functional support during User Acceptance/Integration Testing Functional analysis of SIT/UAT/Production defects and recommend solutions Walkthrough the User Manual/ Production User Verification scripts with users Adherence To Risk & Data Quality Management Requirements Continuous management of the Trade Application System risks Proactively identify issues and actions Monitor and remediate issues and actions from audits Awareness of the regulatory world and knowledge of AML, Fraud, Screening, Data Quality needs and ensuring these are catered for in the functional design Stakeholder Management Coordinate with resources and teams across different location Key Stakeholders Operations (Group, Regional, Country and Hubs) Business - Product/Sales/Segments (Group, Regional, Country) Technology – Delivery Teams and Technical Architecture) Hive Leads Chapter Leads Trade Technology Team Interface IT Teams Technology Services Teams Skills And Experience Mandatory Skills: Strong presentation and communication skills Ability to understand business requirements and convert them into solution designs Knowledge of web-based systems architecture, Micro service-based architecture, enterprise application architecture as well as experience managing expectations when balancing alternatives against business and financial constraints Must demonstrate good judgment and pragmatic approach to delivering a solution that optimizes architecture activities across company needs, business constraints and technological realities Agile project methodologies Prior Experience Relevant experience of 10-15 years Banking/Fintech experience mandatory Trade Finance domain experience preferred Qualifications EDUCATION Bachelor’s Degree in Computer Science, Software Engineering or equivalent degree About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. Show more Show less

Job Role Strong Spark programming experience with Java Good knowledge of SQL query writing and shell scripting Experience working in Agile mode Analyze, Design, develop, deploy and operate high-performant and high-quality services that serve users in a cloud environment. Good understanding of client eco system and expectations In charge of code reviews, integration process, test organization, quality of delivery Take part in development. Experienced into writing queries using SQL commands. Experienced with deploying and operating the codes in the cloud environment. Experienced in working without much supervision. Your Profile Primary Skill Java, Spark, SQL Secondary Skill/Good to have Hadoop or any cloud technology, Kafka, or BO. What youll love about working hereShort Description Choosing Capgemini means having the opportunity to make a difference, whether for the worlds leading businesses or for society. It means getting the support you need to shape your career in the way that works for you. It means when the future doesnt look as bright as youd like, you have the opportunity to make changeto rewrite it. When you join Capgemini, you dont just start a new job. You become part of something bigger. A diverse collective of free-thinkers, entrepreneurs and experts, all working together to unleash human energy through technology, for an inclusive and sustainable future. At Capgemini, people are at the heart of everything we do! You can exponentially grow your career by being part of innovative projects and taking advantage of our extensive Learning & Development programs. With us, you will experience an inclusive, safe, healthy, and flexible work environment to bring out the best in you! You also get a chance to make positive social change and build a better world by taking an active role in our Corporate Social Responsibility and Sustainability initiatives. And whilst you make a difference, you will also have a lot of fun.

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities Atlassian is looking for a Senior Data Engineer to join our Data Engineering team which is responsible for building our data lake, maintaining our big data pipelines / services and facilitating the movement of billions of messages each day. We work directly with the business stakeholders and plenty of platform and engineering teams to enable growth and retention strategies at Atlassian. We are looking for an open-minded, structured thinker who is passionate about building services that scale. On a typical day you will help our stakeholder teams ingest data faster into our data lake, you’ll find ways to make our data pipelines more efficient, or even come up ideas to help instigate self-serve data engineering within the company. You’ll get the opportunity to work on a AWS based data lake backed by the full suite of open source projects such as Spark and Airflow. We are a team with little legacy in our tech stack and as a result you’ll spend less time paying off technical debt and more time identifying ways to make our platform better and improve our users experience. Qualifications As a Senior Data Engineer in the DE team, you will have the opportunity to apply your strong technical experience building highly reliable services on managing and orchestrating a multi-petabyte scale data lake. You enjoy working in a fast paced environment and you are able to take vague requirements and transform them into solid solutions. You are motivated by solving challenging problems, where creativity is as crucial as your ability to write code and test cases. On Your First Day, We'll Expect You To Have A BS in Computer Science or equivalent experience At least 7+ years professional experience as a Sr. Software Engineer or Sr. Data Engineer Strong programming skills (Python, Java or Scala preferred) Experience writing SQL, structuring data, and data storage practices Experience with data modeling Knowledge of data warehousing concepts Experience building data pipelines, platforms Experience with Databricks, Spark, Hive, Airflow and other streaming technologies to process incredible volumes of streaming data Experience in modern software development practices (Agile, TDD, CICD) Strong focus on data quality and experience with internal/external tools/frameworks to automatically detect data issues, anomalies. A willingness to accept failure, learn and try again An open mind to try solutions that may seem crazy at first Experience working on Amazon Web Services (in particular using EMR, Kinesis, RDS, S3, SQS and the like) It's Preferred That You Have Experience building self-service tooling and platforms Built and designed Kappa architecture platforms Contributed to open source projects (Ex: Operators in Airflow) Experience with Data Build Tool (DBT) Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh . Show more Show less

Amex GBT is a place where colleagues find inspiration in travel as a force for good and – through their work – can make an impact on our industry. We’re here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. What You’ll Do on a Typical Day : This role sits within the CX Data & Operations team in the Customer Analytics org. We have the operational ownership and responsibility to work collaboratively across business and technology. The position requires a blend of strategic and multidimensional thinking, strong communication skills, and a passion to influence how our processes are improved. We’re seeking a proactive and detail-oriented Business Systems And Operations Senior Analyst to join our CX Data & Operations team. In this role, you’ll be responsible for analyzing data, data quality, troubleshooting, issue resolution, as well as building and maintaining automations. Your technical capabilities will be used across multiple proprietary and non-proprietary tools. Collect, manage, and analyze customer feedback data using Qualtrics and other analytics tools. Build and maintain dashboards, trackers, and automated reports for CX metrics. Identify trends, root causes, and opportunities for experience improvements using structured analysis. Collaborate with stakeholders to define requirements, validate data, and track progress of CX initiatives. Present findings and actionable recommendations through clear and concise reports and presentations. Troubleshoot data flow or reporting issues independently and escalate when necessary. Maintain and streamline document and survey process management, ensuring version control and compliance. Monitor, prioritize, and action support tickets related to surveys, dashboards, or data issues, while meeting defined SLAs. Stay current on customer experience best practices and emerging analytics tools .Provide support to team members on tools, workflows, and documentation as needed. What We’re Looking For : Bachelor’s degree in business, Analytics, or related field. Minimum 3 years of relevant experience with data analysis, data reporting, or operations. Experience with Qualtrics is a plus, but strong proficiency is essential. Proficient in Microsoft Excel, Access, Word, PowerPoint, Outlook Proficient to intermediate level skill set in Alteryx Experience with SQL (Hive), JavaScript, CSS, HTML, JSON preferred Familiarity with SharePoint List creation and maintenance Strong analytical and critical thinking skills. Proven business acumen refers to the demonstrated ability to effectively understand and navigate business situations, making informed decisions that lead to positive outcomes. Excellent communication skills—able to explain complex data clearly and confidently. Proven track record of independent task ownership and follow-through Ability to manage multiple priorities in a deadline-driven environment High attention to detail and process integrity. Strong collaboration skills, with ability to work across global teams and time zones Familiarity with customer experience metrics (e.g., CSAT, NPS) is an asset Location Gurgaon, India The #TeamGBT Experience Work and life: Find your happy medium at Amex GBT. Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family. Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action. And much more! All applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law. Click Here for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance. Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the Amex GBT Recruitment Privacy Statement. What if I don’t meet every requirement? If you’re passionate about our mission and believe you’d be a phenomenal addition to our team, don’t worry about “checking every box;" please apply anyway. You may be exactly the person we’re looking for! Show more Show less

Role The Senior Software Engineer will be responsible for development solutions with high level of innovation, high quality and faster time to market. This position interacts with product managers, engineering leaders, architects and software developers and business operations on the definition and delivery of highly scalable and secure solutions. The role includes: • Hands-on developer who writes high quality, secure code that is modular, functional and testable. • Create or introduce, test, and deploy new technology to optimize the service • Contribute to all parts of the software’s development including design, development, documentation, and testing. • Have strong ownership • Communicate, collaborate and work effectively in a global environment. • Responsible for ensuring application stability in production by creating solutions that provide operational health. • Mentoring and leading new developers while driving modern engineering practices. • Communicate, collaborate and work effectively in a global environment All About You • Strong analytical and excellent problem-solving skills and experience working in an Agile environment. • Experience with XP, TDD and BDD in the software development processes • Proficiency in Java, Scala & SQL (Oracle, Postgres, H2, Hive, & HBase) & building pipelines • Expertise and Deep understanding on Hadoop Ecosystem including HDFS, YARN, MapReduce, Tools like Hive, Pig/Flume, Data processing framework like Spark & Cloud platform, Orchestration Tools - Apache Nifi / Airflow, Apache Kafka • Expertise in Web applications (Springboot Angular, Java, PCF), Web Services (REST/OAuth), and Big Data Technologies (Hadoop, Spark, Hive, HBase) and tools ( Sonar, Splunk, Dynatrace) • Expertise SQL, Oracle and Postgres • Experience in microservices, event driven architecture • Soft skills: strong verbal and written communication to demo features to product owners; strong leadership quality to mentor and support junior team members, proactive and has initiative to take development work from inception to implementation. • Familiar with secure coding standards (e.g., OWASP, CWE, SEI CERT) and vulnerability management Show more Show less