More than 5+ years of experience in data modelling – designing, implementing, and maintaining data models to support data quality, performance and scalability. Proven experience as a Data Modeler and worked with data analysts, data architects and business stakeholders to ensure data models are aligned to business requirements. Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models, CPG / Manufacturing/Sales/Finance/Supplier/Customer domains ) Experience with at least one MPP database technology such as Databricks Lakehouse, Redshift, Synapse, Teradata, or Snowflake. Experience with version control systems like GitHub and deployment & CI tools. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Working knowledge of SAP data models, particularly in the context of HANA and S/4HANA, Retails Data like IRI, Nielsen Retail. Must Have: Data Modeling, Data Modeling Tool experience, SQL Nice to Have: SAP HANA, Data Warehouse, Databricks, CPG"

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You’ll Do The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities. The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives. . This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions. Key Areas of Responsibility: Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases Lead the discussion and conceptualization of the solutions assigned. Responsible for development of ready to engage and ready to sell collateral Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time. Actively participate in brainstorming sessions to come up with possible solutions/analytics Build solution showcases and support the account teams in high-end customer pitches Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements Conduct assessment and POC activities to support the Pre-Sales Teams Who You’ll Work With The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel). What Makes You a Qualified Candidate Educational Requirements: Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics. Preferably a Masters or Doctorate in the relevant field Technical Skill Set & Experience Required: 10+years’ experience in data driven field (e. g. BI, DWH, Analytics etc. ). Experience in data analysis is a plus. Strong hands on experience with programming languages (e. g. R, Python, Java, etc. ) Comfortable with and experience using SQL. Significant familiarity with Statistical concepts. In-depth understanding is a plus. In depth understanding of Machine Learning concepts and statistical modelling. Exposure and Experience with Artificial Intelligence and Deep Learning Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc. ). Ability to analyze customer technology, define business requirements & participate in risk analysis activities Strong Requirement Elicitation & Analysis skills Cloud Computing Experiences would be a plus (Azure /AWS/Google) Experience of Teradata platform would be a plus Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus What You’ll Bring Ability and willingness to learn. Collaborative attitude and team player. Very strong analytical skills. Ability to independently manage critical situations. Story building skills. Critical thinker and problem-solving skills Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences. Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What you will do ? Be one of the Individual Contributor and a part of our Data Science practice in GSIH India/Pakistan Be proactive and a SME in his/her skills and a great team member, specializing in AI/ML. Produce packaged solutions, AaaS offerings, in addition to supporting Analytics projects and PoCs/PoVs. Work in a team to define and execute data science solutions that address client use cases and business requirements Define activities, scope, and timelines on data science projects Deliver projects following our internal frameworks and best practices Be AI/ML expert to advice customers in defining Analytics Roadmap, Ecosystem and Architecture for Complex Enterprise Systems. Experienced in implementing AI/ML solutions in Agile environment. Discover, interpret and document unique insights in large-scale distributed datasets through exploratory analysis and the application of advanced analytical methodologies Create statistical, machine learning and deep learning models in multiple technologies using best-in-class data science approaches Prepare and conduct presentations and client workshops, communicating past experiences in sales and speaking opportunities Guide junior members of the delivery team during projects Teradata Vantage as a skill that needs to be acquired after joining Teradata Candidate will work on Teradata ClearScape Analytics Offerings Who You’ll Work With Work as an individual contributor to define and execute Advanced Analytics solutions that address client use cases and business requirements. Work in close coordination with Data Science teams in other GSIH centers as well International Data Science teams to serve global customers. Will need to be a quick learner with the desire to improve skill sets As this is a project-oriented position in either onsite or offsite situations having accountability for managing client expectations while delivering the services and solutions associated with the Teradata database This position will combine direct client consulting engagement activities, new solution development and analytics positioning responsibilities What Makes You a Qualified Candidate Bachelor’s, Master’s or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 5+ years of related work and/or research experience in quantitative roles In-depth knowledge in at least 2 of the following data science domains Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Signal Processing, Image, Video Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What You’ll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver. Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What you will do ? Be one of the Individual Contributor and a part of our Data Science practice in GSIH India/Pakistan Be proactive and a SME in his/her skills and a great team member, specializing in AI/ML. Produce packaged solutions, AaaS offerings, in addition to supporting Analytics projects and PoCs/PoVs. Work in a team to define and execute data science solutions that address client use cases and business requirements Define activities, scope, and timelines on data science projects Deliver projects following our internal frameworks and best practices Be AI/ML expert to advice customers in defining Analytics Roadmap, Ecosystem and Architecture for Complex Enterprise Systems. Experienced in implementing AI/ML solutions in Agile environment. Discover, interpret and document unique insights in large-scale distributed datasets through exploratory analysis and the application of advanced analytical methodologies Create statistical, machine learning and deep learning models in multiple technologies using best-in-class data science approaches Prepare and conduct presentations and client workshops, communicating past experiences in sales and speaking opportunities Guide junior members of the delivery team during projects Teradata Vantage as a skill that needs to be acquired after joining Teradata Candidate will work on Teradata ClearScape Analytics Offerings Who You’ll Work With Work as an individual contributor to define and execute Advanced Analytics solutions that address client use cases and business requirements. Work in close coordination with Data Science teams in other GSIH centers as well International Data Science teams to serve global customers. Will need to be a quick learner with the desire to improve skill sets As this is a project-oriented position in either onsite or offsite situations having accountability for managing client expectations while delivering the services and solutions associated with the Teradata database This position will combine direct client consulting engagement activities, new solution development and analytics positioning responsibilities What Makes You a Qualified Candidate Bachelor’s, Master’s or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 5+ years of related work and/or research experience in quantitative roles In-depth knowledge in at least 2 of the following data science domains Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Signal Processing, Image, Video Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What You’ll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver. Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You’ll Do The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities. The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives. . This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions. Key Areas of Responsibility: Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases Lead the discussion and conceptualization of the solutions assigned. Responsible for development of ready to engage and ready to sell collateral Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time. Actively participate in brainstorming sessions to come up with possible solutions/analytics Build solution showcases and support the account teams in high-end customer pitches Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements Conduct assessment and POC activities to support the Pre-Sales Teams Who You’ll Work With The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel). What Makes You a Qualified Candidate Educational Requirements: Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics. Preferably a Masters or Doctorate in the relevant field Technical Skill Set & Experience Required: 10+years’ experience in data driven field (e. g. BI, DWH, Analytics etc. ). Experience in data analysis is a plus. Strong hands on experience with programming languages (e. g. R, Python, Java, etc. ) Comfortable with and experience using SQL. Significant familiarity with Statistical concepts. In-depth understanding is a plus. In depth understanding of Machine Learning concepts and statistical modelling. Exposure and Experience with Artificial Intelligence and Deep Learning Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc. ). Ability to analyze customer technology, define business requirements & participate in risk analysis activities Strong Requirement Elicitation & Analysis skills Cloud Computing Experiences would be a plus (Azure /AWS/Google) Experience of Teradata platform would be a plus Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus What You’ll Bring Ability and willingness to learn. Collaborative attitude and team player. Very strong analytical skills. Ability to independently manage critical situations. Story building skills. Critical thinker and problem-solving skills Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences. Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You’ll Do The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities. The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives. . This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions. Key Areas of Responsibility: Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases Lead the discussion and conceptualization of the solutions assigned. Responsible for development of ready to engage and ready to sell collateral Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time. Actively participate in brainstorming sessions to come up with possible solutions/analytics Build solution showcases and support the account teams in high-end customer pitches Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements Conduct assessment and POC activities to support the Pre-Sales Teams Who You’ll Work With The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel). What Makes You a Qualified Candidate Educational Requirements: Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics. Preferably a Masters or Doctorate in the relevant field Technical Skill Set & Experience Required: 10+years’ experience in data driven field (e. g. BI, DWH, Analytics etc. ). Experience in data analysis is a plus. Strong hands on experience with programming languages (e. g. R, Python, Java, etc. ) Comfortable with and experience using SQL. Significant familiarity with Statistical concepts. In-depth understanding is a plus. In depth understanding of Machine Learning concepts and statistical modelling. Exposure and Experience with Artificial Intelligence and Deep Learning Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc. ). Ability to analyze customer technology, define business requirements & participate in risk analysis activities Strong Requirement Elicitation & Analysis skills Cloud Computing Experiences would be a plus (Azure /AWS/Google) Experience of Teradata platform would be a plus Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus What You’ll Bring Ability and willingness to learn. Collaborative attitude and team player. Very strong analytical skills. Ability to independently manage critical situations. Story building skills. Critical thinker and problem-solving skills Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences. Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What you will do ? Be one of the Individual Contributor and a part of our Data Science practice in GSIH India/Pakistan Be proactive and a SME in his/her skills and a great team member, specializing in AI/ML. Produce packaged solutions, AaaS offerings, in addition to supporting Analytics projects and PoCs/PoVs. Work in a team to define and execute data science solutions that address client use cases and business requirements Define activities, scope, and timelines on data science projects Deliver projects following our internal frameworks and best practices Be AI/ML expert to advice customers in defining Analytics Roadmap, Ecosystem and Architecture for Complex Enterprise Systems. Experienced in implementing AI/ML solutions in Agile environment. Discover, interpret and document unique insights in large-scale distributed datasets through exploratory analysis and the application of advanced analytical methodologies Create statistical, machine learning and deep learning models in multiple technologies using best-in-class data science approaches Prepare and conduct presentations and client workshops, communicating past experiences in sales and speaking opportunities Guide junior members of the delivery team during projects Teradata Vantage as a skill that needs to be acquired after joining Teradata Candidate will work on Teradata ClearScape Analytics Offerings Who You’ll Work With Work as an individual contributor to define and execute Advanced Analytics solutions that address client use cases and business requirements. Work in close coordination with Data Science teams in other GSIH centers as well International Data Science teams to serve global customers. Will need to be a quick learner with the desire to improve skill sets As this is a project-oriented position in either onsite or offsite situations having accountability for managing client expectations while delivering the services and solutions associated with the Teradata database This position will combine direct client consulting engagement activities, new solution development and analytics positioning responsibilities What Makes You a Qualified Candidate Bachelor’s, Master’s or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 5+ years of related work and/or research experience in quantitative roles In-depth knowledge in at least 2 of the following data science domains Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Signal Processing, Image, Video Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What You’ll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver. Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Base Location: Bangalore Minimum Qualification: MBA Preferred Experience: 3-6 Years of relevant experience Key Result Areas Drive Repeat revenue growth Design CRM calendar for the brand in line with marketing calendar & channel requirements. Drive and achieve brand’s repeat revenue, repeat transaction & unique transactors base To drive (growth of) percentage contribution of repeat revenue to overall brand’s NSV targets To manage other repeat customer related KPIs including repeat ABV/ABS, Repeat discount, points liability, earn to burn ratios. Managing Budget Ensure optimum utilization of budget in line with brand’s repeat revenue targets, growing consumer base & communication channels. Loyalty program management Carry out periodic checks & market mapping to determine the health of loyalty program and make structural changes if required. To keep track of other important KPIs including earn/burn ratios, loyalty point outlay, loyalty points redemption etc. to manage financial liability to the brand. To create programs, projects around retention of key customer segments Drive Operational Excellence Train & educate front end teams, including store teams, on the technical & softer aspects of customer relationship management. Create a reporting & review mechanism to ensure data flow within the brand around existing customers, including customer voice, buying habits & customer escalations. Drive and control hygiene activities of data collection as part of new member enrollment, including enrollment rates, enrollment data hygiene etc. Drive and manage data sanity of CRM database & flow of data to internal team including IT, Teradata etc. Campaign management Design & execute effective campaigns to drive increment sales. Work towards improvement of campaign response rates Design campaigns to support key brand initiatives including ATL stories, new season launches & festive markets support. Vendor management Manage external vendor to carry out the work items (including analytics, creative management & campaign design) related to CRM campaigns. Define the work scope of external vendors, review the quality of work. Manage (and optimize) fixed costs related to external vendors & control ‘per campaign cost’ through effective planning. Show more Show less

Location Gurugram, Haryana, India Category Corporate Job Id GGN00002080 Marketing / Loyalty / Mileage Plus / Alliances Job Type Full-Time Posted Date 06/04/2025 Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description Our Marketing and Loyalty team is the strategic force behind United’s industry-leading brand and experience, supporting revenue growth by turning customers into lifelong United flyers. Our marketing communications, market research and brand teams drive travelers’ familiarity and engagement with the United brand. Our product, design and service teams bring the signature United brand to life in our clubs and onboard our aircraft, ensuring a seamless, premier experience. And when customers choose United again and again, that’s because the loyalty team has been hard at work crafting an award-winning program. Our loyalty team manages United MileagePlus®, building travel and lifestyle partnerships that customers can engage with every day, and works with our Star Alliance partners to ensure United can take you anywhere you want to go. Job overview and responsibilities United Airlines reaches out to customers and potential travelers via digital campaigns with new information, travel inspiration, personalized offers, promos, etc. The Digital Marketing & Personalized Offers team at IKC supports all such digital acquisition initiatives with insights to help strategize campaigns and analytics to help measure performance. We work closely with stakeholders in the US to bring these campaigns to life and continuously improve performance with learnings and actionable insights. Ensure alignment and prioritization with business objectives and initiatives – help teams make faster, smarter decisions Conduct exploratory analysis, identify opportunities, and proactively suggest initiatives to meet marketing objectives Assist in campaign planning, targeting and audience identification; measure campaign results and performance using data analysis Create content for and deliver presentations to United leadership and external stakeholders Own workstreams to deliver results, while leading other team members Ensure seamless stakeholder management and keep lines of communication open with all stakeholders Create, modify and automate reports and dashboards - take ownership of reporting structure and metrics, clearly and effectively communicate relevant information to decision makers using data visualization tools This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Qualifications What’s needed to succeed (Minimum Qualifications): Bachelor's degree or 4 years of relevant work experience 4+ years of experience in Analytics and working with analytical tools Proven comfort and an intellectual curiosity for working with very large data sets Experience in manipulating and analyzing complex, high-volume, high-dimensionality data from various sources to highlight patterns and relationships Proficiency in using database querying tools and writing complex queries and procedures using Teradata SQL and/ or Microsoft SQL Familiarity with one or more reporting tools – Spotfire/ Tableau Advanced level comfort with Microsoft Office, especially Excel and PowerPoint Ability to communicate analysis in a clear and precise manner High sense of ownership of work, and ability to lead a team Ability to work under time constraints Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): Master's degree Bachelor’s Degree in a quantitative field like Math, Statistics, Analytics and/ or Business SQL/ Python/ R Visualization tools – Tableau/ Spotfire Understanding of digital acquisition channels Strong knowledge of either Python or R

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview* EIT is a centralized group within Global Risk Management responsible for independent testing of operational processes within the eight lines of business and enterprise control functions at Bank of America to ensure the company is in compliance with domestic and international laws, rules and regulations, and that risk and controls procedures are operating effectively. Job Description* The Sampling and Test Development Specialist II, with minimal supervision, works in collaboration with the Test Owners, Front Line Units, other Sampling and Test Development resources along with the Test Execution Teams to design and assess the quality of both manual and automated tests, validate data sourcing, conduct required sampling governance or distribute samples for testing, and design or revise sampling procedure documentation, with expert level efficiency and quality. This includes driving test structure to support automation. They will make required changes to new and existing test scripts and test plan documentation, as well as sample and data requirements and maintain integrity within the system of record. The Sampling and Test Development Specialist II will independently gather test scripting and data requirements and work with data partners to ensure appropriate test design and sampling requirements are incorporated in to the Test Plans Evaluates if pilot testing is required and participate in testing as needed and participates in other phases of testing (intake, execution, reporting) to provide expertise and feedback on areas assigned. Maintains SOR (System of Record) tracking of test status per standards. Provides peer coaching and direction where needed. Responsibilities* This role is responsible for accessing pertinent databases or acquiring raw data from third party sources along with all associated documentation and for documenting business procedures within testing scripts. The Sampling and Test Development Specialist II often acts independently to uncover and resolve issues associated with procurement of data to be used for testing and the structure and design of complex tests. This role will deliver high-quality results and manage, manipulate and summarize large quantities of data. The Sampling and Test Development Specialist II must participate in and occasionally lead additional projects across Sampling and Test Development including escalation of areas requiring process refinement and revision and taking leadership role to affect changes when needed. Requirements* Education : Graduates or Post-Graduates in Computer Science, Software Engineering, Statistics. Tech/B.E./B.Sc.(Statistics)/B.C.A./M.C.A/M.Sc. (Statistics) Certifications If Any - NA Experience Range : 4-6 yrs Foundational skills* Advanced understanding of automation tools and ability to influence test owners to define ways to structure tests in an automated fashion. Advanced knowledge of data warehouse and mining concepts and baseline understanding of SAS/SQL query language and syntax Experience building queries to source data from a variety of different types of data sources such as DB2, Teradata, Oracle, SQL Server, Hadoop, Hive, Python Proficiency with MS Office suite with an emphasis on Excel to perform data analytics, pivot tables, lookups and data analytics Proven ability to leverage automation efficiencies, tools, and capabilities where possible. Experience building data acquisition routines in a tool such as Trifacta, Alteryx, MicroStrategy, Tableau, Cognos, Python (or other similar business intelligence applications) Strong research, analytical, problem-solving, and technical skills Demonstrated project management skills; Ability to handle multiple competing priorities with demonstrated success at achieving SLA (Service Level Agreements) Strong partnership and influencing skills. Excellent verbal and written communication skills as well as interpersonal skills Self-starter, organized, versatile, capable of performing work independently with minimal direction. Ability to think independently, solve complex problems, and develop integrated solutions. Ability to translate business objectives to comprehensive test requirements. Demonstrated ability to interface effectively with Senior management. Strong team player Desired skills: Compliance or Risk certification a plus Work Timings: 1.30 PM - 10.30 PM Job Location: Chennai Show more Show less

About the role As an Ab Initio Admin, you will make an impact by leveraging your expertise in data warehousing and ETL processes & driving data integration solutions. You will be a valued member of the AI Analytics group and work collaboratively with CMT team members. In this role, you will: Develop and implement efficient ETL processes using Ab Initio tools to ensure seamless data integration and transformation Collaborate with cross-functional teams to gather requirements and design data solutions that meet business needs Optimize data warehousing solutions by applying advanced scheduling techniques and SQL queries Troubleshoot and resolve data-related issues to maintain system reliability and performance Provide technical expertise in Ab Initio Conduct>It and Co>Operating System to enhance data processing capabilities Ensure data accuracy and consistency by conducting thorough testing and validation of ETL processes Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in your respective work location. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. What you must have to be considered Possess strong knowledge of data warehousing concepts and scheduling basics to design effective data solutions Demonstrate proficiency in ETL processes and SQL for efficient data manipulation and transformation Have hands-on experience with Ab Initio GDE and Conduct>It for robust data integration Utilize Unix Shell Scripting to automate routine tasks and improve operational efficiency These will help you stand out Show expertise in Ab Initio Co>Operating System to optimize data processing workflows Exhibit skills in Unix Shell Scripting to automate tasks and streamline operations Display a collaborative mindset to work effectively in a hybrid work model and day shift environment We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

About us: Analytics & Information Management AIM is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast-growing organization working with Citi businesses and functions across the world. Remediation & Remuneration COE Remediation team is responsible for cross functional coordination of customer facing remediation efforts. Provide oversight, prioritization, and scheduling of remediation activities with remediation partner teams including Technology, FSO, Analytics groups, Shared Services (mail vendor) and Controllers. R&R AIM Team works as the data Analytic partner for the Issue Remediation Business Team. Job responsibilities: R&R team manages the analysis of the customer remediation issues across globe, currently in retail consumer bank. The critical areas are work is divided into: Remediation analysis: Execution of the comprehensive data remediation approach on Customer issues due to gaps observed in policies and governance, Self-identified, or through IA. Impact assessment: Identification of size of the customers and the dollar amount impacted due to these issues. Issue Management & Root cause analysis: Identifying the issues and reasons for the issues by leveraging analytical methods. Audit Support: Tracking implementation plans and providing data evidence, artifacts for audit completion Report Generation: Generate business metrics and actionable business insights using latest reporting tools Expertise Required: Tools and Platforms Proficient in SAS, SQL, RDBMS, Teradata, Unix Proficient in MS Excel, PowerPoint, and VBA Jira, Bitbucket, Sharepoint Tableau, Cognos Exposure to Big data, Python Domain Skills Good understanding of banking domain and consumer products (Retail Banking, Deposit, Loans, Wealth management, Mortgage, Insurance, etc.) (Preferred) Knowledge of Finance Regulations, Understanding on Retail Business/ Banking Domain Analytical & Interpersonal Skills Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Data analysis, Data profiling, Data Management skills MIS reporting and generate actionable Business Insights Should have excellent communication and inter-personal skills Good process management skills Coming up with automated Techniques to reduce redundancy, remove false positives and enhance optimization Identification of control gaps and providing recommendations as per data strategy (Preferred) - Risk & control Metrics & Audit Framework Exposure Other Info: Education Level: Master’s / Advanced Degree in Information Technology/ Computer Applications/ Engineering/ MBA from a premier institute Overall experience of 2-5 years Job Category: Decision Management Schedule: Full-time Shift: Regular Local Working Hours (aligned with NAM working hours) Employee Status: Regular Salary Grade: C09 ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ 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. Show more Show less

Overview As a Data Modeler & Functional Data Senior Analyst, your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analysing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, D&A standards, and best practices. You will be performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architecture teams. As a member of the Data Modeling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like Master Data, Finance, Revenue Management, Supply chain, Manufacturing and Logistics. The primary responsibility of this role is to work with Data Product Owners, Data Management Owners, and Data Engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities Complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, Data Bricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs Data Design/Modeling - documentation of metadata (business definitions of entities and attributes) and construction of database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to existing, or new, applications/reporting. Lead and Support assigned project contractors (both on & offshore), orienting new contractors to standards, best practices, and tools. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of enhancements or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for proper management of: business and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Analyze/profile source data and identify issues that impact accuracy, completeness, consistency, integrity, timeliness and validity. Create Source to Target Mapping documents including identifying and documenting data transformations. Assume accountability and responsibility for assigned product delivery, be flexible and able to work with ambiguity, changing priorities, tight timelines and critical situations/issues. Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications BA or BS degree required in Data Science/Management/Engineering, Business Analytics, Information Systems, Software Engineering or related Technology Discipline. 8+ years of overall technology experience that includes at least 4+ years of Data Modeling and Systems Architecture/Integration. 3+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 4+ years of experience developing Enterprise Data Models. 3+ years of Functional experience with SAP Master Data Governance (MDG) including use of T-Codes to create/update records and query tables. Extensive knowledge of all core Master Data tables, Reference Tables, IDoc structures. 3+ years of experience with Customer & Supplier Master Data. Strong SQL skills with ability to understand and write complex queries. Strong understanding of Data Life cycle, Integration and Master Data Management principles. Excellent verbal and written communication and collaboration skills. Strong Excel skills for data analysis and manipulation. Strong analytical and problem-solving skills. Expertise in Data Modeling tools (ER/Studio, Erwin, IDM/ARDM models). Experience with integration of multi cloud services (Azure) with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or Snowflake. Experience with version control systems like GitHub and deployment & CI tools. Working knowledge of agile development, including Dev Ops and Data Ops concepts. Experience mapping disparate data sources into a common canonical model. Differentiating Competencies Experience with metadata management, data lineage and data glossaries. Experience with Azure Data Factory, Databricks and Azure Machine learning. Familiarity with business intelligence tools (such as Power BI). CPG industry experience. Experience with Material, Location, Finance, Supply Chain, Logistics, Manufacturing & Revenue Management Data. Show more Show less

About this role: Wells Fargo is seeking a Lead Data Management Analyst. We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow. This role requires a blend of technical expertise, analytical thinking, and strategic decision making to drive impactful insights. At Wells Fargo, we are looking for talented people who will put our customers at the center of everything we do. We are seeking candidates who embrace diversity, equity and inclusion in a workplace where everyone feels valued and inspired. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you. Wells Fargo is seeking a Lead Data Management Analyst to drive data and analytics initiatives in the Payments Analytics and Insights Team. The team is responsible for supporting Digital Product Managers and Executives plus relevant stakeholders from across the enterprise. The team will collaborate with stakeholders develop meaningful analyses which drive actionable insights. The team will also need to influence data architecture and may support payments strategy and product development initiatives. In this role, you will: Consult, review and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable data factors Perform moderately complex data analysis to support and drive strategic initiatives and business needs Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements Lead or participate on large cross group projects Mentor less experienced staff Collaborate and consult with peers, colleagues, external contractors, and mid-level managers to resolve issues and achieve goals Leverage a solid understanding of compliance and risk management requirements for supported area Develop queries and other programmatic logic to effectively source, aggregate and combine data in line with product / project initiatives. Lead in utilizing data visualization best practices to tell stories that drive both engagement and action; influence partners to integrate data into decision-making, increase data literacy, and build acceptance of tools, programs, and services. Proactively manage risk including measures to minimize inaccuracy and clarify the meaning of data which is delivered Document development processes, key decisions made and any risks or open items. Support transition of code to production environments. Required Qualifications: 5+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Degree in a quantitative field such as applied math, accounting, engineering, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis 5+ years of experience in an environment with large relational databases or distributed systems, such as SQL Server, Oracle, DB2, Teradata, or Hive 5+ years of experience developing complex SQL queries and Python coding environments 5+ years of experience developing structured visualization solutions and automation tools in Tableau, Power BI, and/or Alteryx Experience in maintaining and creating efficient data solutions to support reporting Good to have experience in treasury management products (wires, ACH, instant payments, etc), correspondent banking, and/or commercial banking Partner management experience with ability to effectively drive results, provide feedback/direction, and manage and build relationships with leaders and team members in a geographically dispersed team environment Excellent verbal, written and interpersonal communication skills Strong analytical skills with high attention to detail and accuracy Have a deep technical and nuanced understanding of various Payment rails. Be an expert in WIRES Payments and clearing. Highly collaborative and inclusive approach with proven track record of delivering acknowledged value. Experience with master reference data such as Customer hierarchies, legal entities, and product taxonomies Knowledge and understanding of relational and no-SQL databases, structured, semi-structured, and unstructured data Job Expectations: Develop and refine business intelligence and data visualizations using Tableau and/or Power BI Maintain partner relationships with wires and clearing product teams, ensuring high quality team deliverables and SLAs Perform strategic ad hoc data analyses to support key business decisions Source data from across multiple systems using a variety of database and distributed applications (Hive, Teradata, SQL Server, Oracle) Provide support/generate and distribute existing management information systems (MIS) reports in accurate and timely manner Maintain reference data that supports the entire insights and reporting processes Develops MIS documentation to allow for smooth operations and easy system maintenance Support automation by identifying the opportunities on existing process and reports Create best-practice reports based on data mining, analysis, and visualization Identify trends and opportunities for growth through analysis of complex datasets Provide feedback and present ideas for improving or implementing processes and tools within the analytics group Quantify success of business opportunities, sales campaigns and initiatives; track progress towards revenue and profitability goals and targets Solve complex business problems by using analytical techniques and tools.

About this role: Wells Fargo is seeking a Lead Data Management Analyst In this role, you will: Organize and lead complex companywide initiatives to ensure that data quality is maintained so that data can effectively support business processes Oversee analysis and reporting in support of regulatory requirements Identify and recommend analysis of data quality or integrity issues Evaluate data quality metrics and data quality audits to benchmark the state of data quality Make decisions in complex and multi-faceted situations requiring solid understanding of data governance standards and procedures Identify new data sources and develop recommendations for assessing the quality of new data Lead project teams and mentor less experienced staff members Recommend remediation of process or control gaps that align to management strategy Serve as relationship manager for a line of business Consult with and provide recommendations to senior management regarding assessments of the current state of data and metadata quality within area of assigned responsibility Represent client in cross-functional groups to develop companywide data governance strategies Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to coordinate and drive collaboration on solution design and remediation execution Organize and lead complex companywide initiatives to ensure that data quality is maintained so that data can effectively support business processes Oversee analysis and reporting in support of regulatory requirements Identify and recommend analysis of data quality or integrity issues Evaluate data quality metrics and data quality audits to benchmark the state of data quality Make decisions in complex and multi-faceted situations requiring solid understanding of data governance standards and procedures Identify new data sources and develop recommendations for assessing the quality of new data Consult with and provide recommendations to senior management regarding assessments of the current state of data and metadata quality within area of assigned responsibility Represent client in cross-functional groups to develop companywide data governance strategies Help analyzing the data streamlining to simplify overall data extraction Data Wrangling, Data Analysis leveraging internal data platforms which include SORs (like AIMS, AFS etc.,) , CLOSs (nCino etc.,), data lakes & aggregators like IHUD, WDM, WCDIR etc., Responsible to provide various Regulatory reports like Schedule H (C&I, CRE loans), Large Corporation Syndicated Credits, Small Loan cost survey (FR2028D), HC-L, 14M and Leverage Lending These reports require an in-depth knowledge of various accounting terms like Invoice Factoring, fronting, Swinglines, Commitment to Commit and Disposition Work with the various upstream systems to standardize data and support the data for FR Y-14 Regulatory reporting function of Commercial Banking. Required Qualifications: 5+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Experience: Strong analytical skills with high attention to detail, accuracy, and data wrangling Ability to articulate complex concepts in a clear manner Knowledge and understanding of data governance challenges and approaches: metadata, data quality, and data stewardship Ability to manipulate data from non-normalized or disparate data sources Documentation of the updated logic for regulatory audit needs Ownership & Accountability for Delivery Experience in Commercial Lending Systems Knowledge in 14Q Regulatory Reporting space Technical Expertise: Experience in SQL Teradata Good knowledge & experience in JIRA or any Defect Management Tool Good knowledge & experience in Agile Project Management Tools MS Office suite Exposure to Data Visualization Tools like Tableau/Power BI is a plus Soft Skills & Traits: Good Verbal & Written Communication Ability & Compatibility to work with US Geography from India Time Zone Ability to work independently and handle large scale deliveries Open to New Ideas & Contribution in Innovation & Automation Job Expectations: 5+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Experience analyzing data defects, identifying the root cause and defining the remediation options. Experience working with complex datasets using SQL Experience working in Commercial Banking and Lending Data (CBL) Domain at Wells Fargo Regulatory Reporting Experience is a plus - FRY 14, FRY 9C, BASEL, FFIEC, FR 2052a, BSA/AML..etc Prior experience with Wells Fargo CBL data domain is a plus (e.g.: iHub, AFS, LIQ, AIMS, CHOICE, LUCAS, WCDIR, WCIS, PBC, LVT) Proficiency in written skills to author requirements documents, specifications and training documents. Ability to develop business metadata and data dictionaries Must demonstrate strong communication skills including Management Reporting (good with Power Point skills). Excellent verbal, written, and interpersonal communication skills.

Job description Minimum of 5 years of experience in designing and building production data pipelines from data ingestion to consumption within a hybrid big data architecture using Hadoop, Hive, HDFS, HBase, Spark, Kafka, Nifi and Airflow. Expertise in one of the programming language- Scala/Java/Python. Experience with Data lake, data warehouse ETL build and design, and Data migration from legacy systems including Hadoop, Exadata, Oracle Teradata, or Netezza etc. Demonstrable knowledge Experience using Google Cloud Big Query is mandatory. Good understanding of batch and streaming Data Ingestion. Expertise on building modern data pipelines and operations, with an ELT philosophy Experience with Agile methodologies and DevOps , CICD principles Strong knowledge of data technologies and data modeling. As a lead architect, work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large scale data solutions in the enterprise, using modern data/analytics technologies on-premise. Lead Big data solution and scoping to generate estimates and approaches for proposals and SOWs for customers. Create detailed target state technical architecture and design blueprints incorporating modern data technologies demonstrating modernization value proposition.

> Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment Monitoring of Software 100% error free on boarding implementation, throughput %, Adherence to the schedule/ release plan 2. Quality CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS Reporting 100% on time MIS report generation Mandatory Skills: Teradata. Experience: 3-5 Years.

Overview As an Analyst, Data Modeler, your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analysing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architects teams. As a member of the data Modeling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities Complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, Data Bricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs data design/modeling - documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper management: business and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Assist with data planning, sourcing, collection, profiling, and transformation. Create Source To Target Mappings for ETL and BI developers. Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; data streaming (consumption/production), data in-transit. Develop reusable data models based on cloud-centric, code-first approaches to data management and cleansing. Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications Bachelor’s degree required in Computer Science, Data Management/Analytics/Science, Information Systems, Software Engineering or related Technology Discipline. 5+ years of overall technology experience that includes at least 2+ years of data modeling and systems architecture. Around 2+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 2+ years of experience developing enterprise data models. Experience in building solutions in the retail or in the supply chain space. Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models). Experience with integration of multi cloud services (Azure) with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or Snowflake. Experience with version control systems like GitHub and deployment & CI tools. Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including Dev Ops and Data Ops concepts. Familiarity with business intelligence tools (such as Power BI). Excellent verbal and written communication and collaboration skills. Show more Show less

Mega Walkin Drive for Senior Software Engineer- Informatica, Teradata, SQL Your future duties and responsibilities: Job Summary: CGI is seeking a skilled and detail-oriented Informatica Developer to join our data engineering team. The ideal candidate will be responsible for designing, developing, and implementing ETL (Extract, Transform, Load) workflows using Informatica PowerCenter (or Informatica Cloud), as well as optimizing data pipelines and ensuring data quality and integrity across systems. Key Responsibilities : Develop, test, and deploy ETL processes using Informatica PowerCenter or Informatica Cloud. Work with business analysts and data architects to understand data requirements and translate them into technical solutions. Integrate data from various sources including relational databases, flat files, APIs, and cloud-based platforms. Create and maintain technical documentation for ETL processes and data flows. Optimize existing ETL workflows for performance and scalability. Troubleshoot and resolve ETL and data-related issues in a timely manner. Implement data validation, transformation, and cleansing techniques. Collaborate with QA teams to support data testing and verification.Ensure compliance with data governance and security policies. Required qualifications to be successful in this role: Minimum 4 years of experience with Informatica PowerCenter or Informatica Cloud. Proficiency in SQL and experience with databases like Oracle, SQL Server, Snowflake, or Teradata. Strong understanding of ETL best practices and data integration concepts. Experience with job scheduling tools like Autosys, Control-M, or equivalent. Knowledge of data warehousing concepts and dimensional modeling. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Good to have Python or any programming knowledge. Bachelors degree in Computer Science, Information Systems, or related field. Preferred Qualifications: Experience with cloud platforms like AWS, Azure, or GCP. Familiarity with Bigdata/ Hadoop tools (e.g., Spark, Hive) and modern data architectures.Informatica certification is a plus. Experience with Agile methodologies and DevOps practices. Shift Timings : Shift: General Shift (5 Days WFO for initial 8 weeks) Skills: Data Engineering Hadoop Hive Python SQL Teradata Notice Period- 0-45 Days Pre requisites : Aadhar Card a copy, PAN card copy, UAN Disclaimer : The selected candidates will initially be required to work from the office for 8 weeks before transitioning to a hybrid model with 2 days of work from the office each week.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Roles & Responsibilities: Total Experience : 3 to 10 years Languages: Scala/Python 3.x File System: HDFS Frameworks: Spark 2.x/3.x (Batch/SQL API), Hadoop, Oozie/Airflow Databases: HBase, Hive, SQL Server, Teradata Version Control System: GitHub Other Tools: Zendesk, JIRA Mandatory Skill Sets Big Data, Python, Hadoop, Spark Preferred Skill Sets Big Data, Python, Hadoop, Spark Years Of Experience Required 3-10 Years Education Qualification BE, B.Tech, MCA, M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Big Data Optional Skills Python (Programming Language) Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

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… As a Data Engineer with ETL/ELT expertise for our growing data platform and analytics teams, you will understand and enable the required data sets from different sources. You will take 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 six or more years of work experience. Four or more years of relevant work experience. Experience in Big Data technologies - GCP/Composer/Bigquery/DataFlow Experience in Java Experience with Data Warehouse concepts and Data Management life cycle. Even better if you have one or more of the following: Any related Certification on GCP/ELT developer. Experience in Teradata Accuracy and attention to detail. Strong problem solving, analytical, and research capabilities. Strong verbal and written communication skills. Experience presenting to and influencing partners. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above. #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

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Vacancy Title Senior Vacancy Type Permanent Business Unit GDS Advisory Bangalore Employment Type Permanent/Regular - Full Time Company profile: EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance functions of leading Fortune 500 Companies. Within EY’s FSO Advisory Practice, Data and Analytics team solves big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client’s decision-making. Key Responsibilities The role requires good data visualization development experience and the candidate must have strong ability to: Work both as a good team player and an individual contributor throughout design, development and delivery phases and stay with the focus of quality deliverable. Working with the clients directly to understand the requirement and provide inputs to build the optimum solutions Develop new capabilities for our clients in the form of Visualization dashboards in tools like PowerBI, Qlikview, Qliksense, Tableau etc. Provide support in organization-level initiatives & operational activities Ensure continual knowledge management and take part in all internal L&D team’s trainings Qualifications: BE/BTech/MCA/MBA with 3-6 years industry experience Technical skills requirement: Must have: Excellent visualization design and development experience with one or more visualization tools: Tableau, Qlikview, Power BI Experience in design & build dashboard automation processes as well as organize analysis findings into logical presentations Strong basic understanding and hands experience on SQL; Relational database experience such as DB2, Oracle, SQL Server, Teradata Work with individual responsibility on analytical projects/requests, drafting new SQL queries Excellent aptitude for learning business, data, GUI tools, and analysis techniques Ability to interpret and present data in a manner to communicate findings and insights Good to have: Good understanding of Data Management concepts and Data Strategy Very good experience on data preparation tools like Alteryx Knowledge about data concepts such as Data Warehouses, Data Marts, data extraction and preparation processes and Data Modelling Understanding of the importance of Data governance and Data security Experience on Banking and Capital Markets domains People responsibilities: Willingness to travel to meet client needs Excellent communication and inter-personal skills; excellent team player and maintain good professional relationship with the colleagues Multi-tasking attitude, flexible with ability to change priorities quickly Ability to quickly understand and learn new technology/feature and should inspire the learning process among the peers within the team EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About EY GDS Global Delivery Services (GDS) is a dynamic and truly global delivery network. Across our six locations, we work with teams from all EY service lines, geographies and sectors, and play a vital role in the delivery of the EY growth strategy. We operate from six countries and sixteen cities: Argentina (Buenos Aires) China (Dalian) India (Bangalore, Chennai, Gurgaon, Hyderabad, Kochi, Kolkata, Mumbai, Noida, Trivandrum) Philippines (Manila) Poland (Warsaw and Wroclaw) UK (Manchester, Liverpool) Careers in EY Global Delivery Services Join a team of over 50,000 people, working across borders, to provide innovative and strategic business solutions to EY member firms around the world. Join one of our dynamic teams From accountants to coders, we offer a wide variety of fulfilling career opportunities that span all business disciplines Our Consulting practice provides differentiated focus on the key business themes to help our clients solve better questions around technology. Our vision is to be recognized as a leading provider of differentiated technology consulting services, harnessing new disruptive technology, alliances and attracting talented people to solve our clients' issues. It's an exciting time to join us and grow your career as a technology professional. A technology career is about far more than leading-edge innovations. It’s about the application of these technologies in the real world to make a real, meaningful impact. We are looking for highly motivated, articulate individuals who have the skills to the technology lifecycle and are passionate about designing innovative solutions to solve complex business problems. Your career in Consulting can span across these technology areas/ services lines: Digital Technologies : We are a globally integrated digital architecture and engineering team. Our mission is to deliver tailored, custom-built end to end solutions to our customers that are Digital, Cloud Native and Open Source. Our skills include Experience design, UI development, Design Thinking, Architecture & Design, Full stack development (.Net/ Java/ SharePoint/ Power Platform), Emerging Technologies like Block Chain, IoT, AR\VR, Drones, Cloud and DevSecOps. We use industrialized techniques, built on top of agile methods utilizing our global teams to deliver end to end solutions at best unit cost proposition. Testing Services: We are the yardstick of quality software product. We break something to make the product stronger and successful. We provide entire gamut of testing services including Busines / User acceptance testing. Hence this is a team with all round skills such as functional, technical and process. Data & Analytics : Data and Analytics is amongst the largest and most versatile practices within EY. Our sector and domain expertise combined with technical skills in data, cloud, advanced analytics and artificial intelligence differentiates us in the industry. Our talented team possesses cross-sector and cross-domain expertise and a wide array of skills in Information Management (IM), Business Intelligence (BI), Advance Analytics (AA) and Artificial Intelligence (AI) Oracle : We provide one-stop solution for end-to-end project implementation enabled by Oracle and IBM Products. We use proven methodologies, tools and accelerators to jumpstart and support large Risk and Finance Transformation. We develop solutions using various languages such as SQL or PL/ SQL, Java, Java Script, Python, IBM Maximo and other Oracle Utilities . We also provide consulting services for streamlining the current reporting process using various Enterprise Performance Management tools. SAP : By building on SAP’s S/4HANA digital core and cloud services, EY and SAP are working to help organizations leverage industry-leading technologies to improve operational performance. This collaboration helps drive digital transformation for our clients across areas including finance, human resources, supply chain and procurement. Our goal is to support clients as they initiate or undergo major transformation. Our capabilities span end-to-end solution implementation services from strategy and architecture to production deployment. EY supports clients in three main areas, Technology implementation support, Enterprise and Industry application implementation, Governance Risk Compliance (GRC) Technology. Banking and Capital Market Services: Banking and Capital Market Services companies are transforming their complex tax and finance functions with technologies such as AI and ML. With the right blend of core competencies, tax and finance personnel will shift to data, process and technology skills to service global clients on their Core Banking Platforms and support their business / digital transformation like Deposit system replacements, lending / leasing modernization, Cloud–native architecture (Containerization) etc. Wealth and Asset Management : We help our clients thrive in a transformative age by providing innovative services to global and domestic asset management clients to increase efficiency, effectiveness and manage the overall impact on bottom line profitability by leveraging the technology, data and digital teams. We do many operational efficiency programs and Technology Enabled Transformation to re-platform their front and Back offices with emerging technologies like AI, ML, Blockchain etc. Insurance Transformation : The current changing Macroeconomic trends continue to challenge Insurers globally. However, with disruptive technologies – including IoT, autonomous vehicles, Blockchain etc, we help companies through these challenges and create innovative strategies to transform their business through technology enabled transformation programs. We provide end to end services to Global P&C (General), Life and Health Insurers, Reinsurers and Insurance brokers. Cyber Security: The ever-increasing risk and complexity surrounding cybersecurity and privacy has put cybersecurity at the top of the agenda for senior management, the Board of Directors, and regulators. We help our clients to understand and quantify their cyber risk, prioritize investments, and embed security, privacy and resilience into every digitally-enabled initiative – from day one. Technology Risk: A practice that is a unique, industry-focused business unit that provides a broad range of integrated services where you’ll contribute technically to IT Risk and Assurance client engagements and internal projects. An important part of your role will be to actively establish, maintain and strengthen internal and external relationships. You’ll also identify potential business opportunities for EY within existing engagements and escalate these as appropriate. Similarly, you’ll anticipate and identify risks within engagements and share any issues with senior members of the team. Behavioral Competencies: Adaptive to team and fosters collaborative approach Innovative approach to the project, when required Shows passion and curiosity, desire to learn and can think digital Agile mindset and ability to multi-task Must have an eye for detail Skills needed: Should have understanding and/or experience of software development best practices and software development life cycle Understanding of one/more programming languages such as Java/ .Net/ Python, data analytics or databases such as SQL/ Oracle/ Teradata etc. Internship in a relevant technology domain will be an added advantage Qualification: BE - B. Tech / (IT/ Computer Science/ Circuit branches) Should have secured 60% and above No active Backlogs EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

- 2+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience - 2+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience - 2+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience - 5+ years of data engineering experience - Experience managing a data or BI team - Experience communicating to senior management and customers verbally and in writing - Experience leading and influencing the data or BI strategy of your team or organization - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Do you pioneer? Do you enjoy solving complex problems in building and analyzing large datasets? Do you enjoy focusing first on your customer and working backwards? Amazon transportation controllership team is looking for an experienced Data Engineering Manager with experience in architecting large/complex data systems with a strong record of achieving results, scoping and delivering large projects end-to-end. You will be the key driver in building out our vision for scalable data systems to support the ever-growing Amazon global transportation network businesses. Key job responsibilities As a Data Engineering Manager in Transportation Controllership, you will be at the forefront of managing large projects, providing vision to the team, designing and planning large financial data systems that will allow our businesses to scale world-wide. You should have deep expertise in the database design, management, and business use of extremely large datasets, including using AWS technologies - Redshift, S3, EC2, Data-pipeline and other big data technologies. Above all you should be passionate about data warehousing large datasets together to answer business questions and drive change. You should have excellent business acumen and communication skills to be able to work with multiple business teams, and be comfortable communicating with senior leadership. Due to the breadth of the areas of business, you will coordinate across many internal and external teams, and provide visibility to the senior leaders of the company with your strong written and oral communication skills. We need individuals with demonstrated ability to learn quickly, think big, execute both strategically and tactically, motivate and mentor their team to deliver business values to our customers on time. A day in the life On a daily basis you will: • manage and help GROW a team of high performing engineers • understand new business requirements and architect data engineering solutions for the same • plan your team's priorities, working with relevant internal/external stakeholders, including sprint planning • resolve impediments faced by the team • update leadership as needed • use judgement in making the right tactical and strategic decisions for the team and organization • monitor health of the databases and ingestion pipelines Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with AWS Tools and Technologies (Redshift, S3, EC2) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Design, develop, and support ETL migration project from DataStage to Databricks or Cloud platform Assist in developing and implementing strategies for migrating ETL processes to cloud platforms like Azure Participate in assessing the current infrastructure and creating a detailed migration roadmap Utilize Unix shell scripting to automate data processing tasks and manage ETL workflows. Ensure data integrity and performance during monthly production run Provide technical support during monthly ETL process, resolve any issues and maintain data quality/integrity on monthly basis Implement and maintain scripts for data extraction, transformation, and loading Maintain comprehensive documentation of the ETL process along migration process, including data mappings, ETL workflows, and system configurations Assist in training team members and end-users on new cloud-based ETL processes and tools Conduct testing and validation to ensure the accuracy and performance of migrated data Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: 2+ years of experience working on Microsoft Azure Databricks 2+ years of experience in development/coding on Spark/Scala or Python or Pyspark 2+ years of relevant Datastage development experience or ETL tools Relevant experience on Databases like Teradata, Snowflake Hands-on development experience in UNIX scripting Experience in working on data warehousing projects with Agile methodologies Sound knowledge of SQL programming and SQL Query Skills Exposure to job schedulers like Airflow and ability to create and modify DAGs Exposure on DevOps methodology and creating CI/CD deployment pipeline Proficient in learning & adopting new technologies and use them to execute the use cases for business problem solving Proven solid Communication skills (written and Verbal) Proven excellent Analytical and Communication skills (Both Verbal and Written) Demonstrated ability to understand the existing application codebase, perform impact analysis and update the code when required based on the business logic or for optimization Demonstrated ability to apply the knowledge of principles and techniques to solve technical problems and write code based on technical design At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.