Software Engineering Associate Director - HIH - Evernorth. About Evernorth Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. Position Summary: The Software Development Associate Director provides hands on leadership, management, and thought leadership for a Delivery organization enabling Cignas Technology teams. This individual will lead a team based in our Hyderabad Innovation Hub to deliver innovative solutions supporting multiple business and technology domains within Cigna. This includes the Sales & Underwriting, Producer, Service Operations, and Pharmacy business lines, as well as testing and DevOps enablement. The focus of the team is to build innovative go-to-market solutions enabling business while modernizing our existing asset base to support business growth. The Technology strategy is aligned to our business strategy and the candidate will not only be able to influence technology direction but also establishing our team through recruiting and mentoring employees and vendor resources. This is a hands-on position with visibility to the highest levels of the Cigna Technology team. This leader will focus on enabling innovation using the latest technologies and development techniques. This role will foster rapidly building out a scalable delivery organization that aligns with all areas within the Technology team. The ideal candidate will be able to attract and develop talent in a highly dynamic environment. Job Description & Responsibilities: Provide leadership, vision, and design direction for the quality and development of the US Medical and Health Services Technology teams based at the Hyderabad Innovation Hub (HIH). Work in close coordination with leaders and teams based in the United States, as well as contractors employed by the US Medical and Health Services Technology team who are based both within and outside of the United States, to deliver products and capabilities in support of Cignas business lines. Provide leadership to HIH leaders and teams ensuring the team is meeting the following objectives: Design, configuration, implementation application design/development, and quality engineering within the supported technologies and products. Hands-on people manager who has experience leading agile teams of highly talented technology professionals developing large solutions and internal facing applications. They are expected to work closely with developers, quality engineers, technical project managers, principal engineers, and business stakeholders to ensure that application solutions meet business/customer requirements. A servant leader mentality and a history of creating an inclusive environment, fostering diverse views and approaches from the team, and coaching and mentoring them to thrive in a dynamic workplace. A history of embracing and incubating emerging technology and open-source products. A passion for building highly resilient, scalable, and available platforms, rich reusable foundational capabilities and seamless developer experience while focusing on strategic vision and technology roadmap delivery in an MVP / iterative fast paced approach. Accountable for driving towards timely decisions while influencing across engineering and development delivery teams to drive towards meeting project timelines while balancing destination state. Ensure engineering solutions align with the Technology strategy and that they support the application s requirements. Plan and implement procedures that will maximize engineering and operating efficiency for application integration technologies. Identify and drive process improvement opportunities. Proactive monitoring and management design of supported assets assuring performance, availability, security, and capacity. Maximize the efficiency (operational, performance, and cost) of the application assets. Experience Required: 17 to 19 years of IT and business/industry or equivalent experience preferred, with at least 5 years of experience in a leadership role with responsibility for the delivery of large-scale projects and programs. Leadership, cross-cultural communication, and familiarity with wide range of technologies and stakeholders. Strong Emotional Intelligence with the ability to foster collaboration across geographically dispersed teams. Experience Desired: Recognized leader with proven track record of delivering software engineering initiatives and cross-IT/business initiatives. Proven experience leading/managing technical teams with a passion for developing talent within the team. Experience with vendor management in an onshore/offshore model. Experience in Healthcare, Pharmacy and/or Underwriting systems. Experience with AWS. Education and Training Required: B.S. degree in Computer Science, Information Systems, or other related degrees; Industry certifications such as AWS Solution Architect, PMP, Scrum Master, or Six Sigma Green Belt are also ideal. Primary Skills: Familiarity with most of the following Application Development technologies: Python, RESTful services, React, Angular, Postgres, and MySQL (relational database management systems). Familiarity with most of the following Data Engineering technologies: Databricks, Spark, PySpark, SQL, Teradata, and multi-cloud environments. Familiarity with most of the following Cloud and Emerging technologies: AWS, LLMs (OpenAI, Anthropic), vector databases (Pinecone, Milvus), graph databases (Neo4j, JanusGraph, Neptune), prompt engineering, and fine-tuning AI models. Familiarity with enterprise software development lifecycle to include production reviews and ticket resolution, navigating freeze/stability periods effectively, total cost of ownership reporting, and updating applications to align with evolving security and cloud standards. Familiarity with agile methodology including SCRUM team leadership or Scaled Agile (SAFE). Familiarity with modern delivery practices such as continuous integration, behavior/test driven development, and specification by example. Deep people and matrix management skills, with a heavy emphasis on coaching and mentoring of less senior staff, and a strong ability to influence VP level leaders. Proven ability to resolve issues and mitigate risks that could undermine the delivery of critical initiatives. Strong written and verbal communication skills with the ability to interact with all levels of the organization. Strong influencing/negotiation skills. Strong interpersonal/relationship management skills. Strong time and project management skills. About Evernorth Health Services

Role & responsibilities Develop, maintain, and enhance new data sources and tables, contributing to data engineering efforts to ensure comprehensive and efficient data architecture. Serves as the liaison between Data Engineer team and the Airport operation teams, developing new data sources and overseeing enhancements to existing database; being one of the main contact points for data requests, metadata, and statistical analysis Migrates all existing Hive Metastore tables to Unity Catalog, addressing access issues and ensuring smooth transition of jobs and tables. Collaborate with IT teams to validate package (gold level data) table outputs during the production deployment of developed notebooks Develop and implement data quality alerting systems and Tableau alerting mechanisms for dashboards, setting up notifications for various thresholds. Create and maintain standard reports and dashboards to provide insights into airport performance, helping guide stations to optimize operations and improve performance. Preferred candidate profile Master's degree / UG Min 5 -10 years of experience Databricks (Azur op) Good Communication Experience developing solutions on a Big Data platform utilizing tools such as Impala and Spark Advanced knowledge/experience with Azure Databricks, PySpark , ( Teradata )/Databricks SQL Advanced knowledge/experience in Python along with associated development environments (e.g. JupyterHub, PyCharm, etc.) Advanced knowledge/experience in building Tableau Dashboard / Clikview / PowerBi Basic idea on HTML and JavaScript Immediate Joiner Skills, Licenses & Certifications Strong project management skills Proficient with Microsoft Office applications (MS Excel, Access and PowerPoint); advanced knowledge of Microsoft Excel Advanced aptitude in problem-solving, including the ability to logically structure an appropriate analytical framework Proficient in SharePoint, PowerApp and ability to use Graph API

Oversees development and implementation of data mining protocols, architectures, and models as well as data analysis methodologies, used to identify trends in large data sets. Implements new data mining and data analysis processes Required Candidate profile 2 or more years with relational or NoSQL databases (Oracle,Teradata,SQL Server,Hadoop,ELK) 3 or more years working with languages such as R,Python,Java 2 or more years skilled at data visualization

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level 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.  3+ years direct experience working in IT Infrastructure  2+ years in a customer facing role working with enterprise clients.  Experience with implementing and/or maintaining technical solutions in virtualized environments.  Experience in design, architecture and implementation of Data warehouses, data pipelines and flows.  Experience with developing software code in one or more languages such as Java and Python. Proficient with SQL  Experience designing and deploying large scale distributed data processing systems with one or more technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Vertica, Netezza, Teradata, Tableau, Qlik or MicroStrategy.  Customer facing migration experience, including service discovery, assessment, planning, execution, and operations.  Demonstrated excellent communication, presentation, and problem-solving skills.  Mandatory Certifications Required Google Cloud Professional Data Engineer Mandatory skill sets-GCP Architecture/Data Engineering, SQL, Python Preferred Skill Sets-GCP Architecture/Data Engineering, SQL, Python Year of experience required-8-10 years Qualifications-B.E / B.TECH/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills 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

Project description As a SQL Server Database Developer, you will play a key role in building and optimizing database systems based on SQL Server. You will collaborate with developers, data analysts, and stakeholders to ensure data integrity, performance, and security, as well as provide efficient database solutions that align with business needs. Responsibilities Database Development: Design, develop, and maintain SQL Server databases, tables, views, stored procedures, functions, and triggers to support application development. Query Optimization: Write and optimize complex T-SQL queries for performance, ensuring efficient data retrieval and manipulation. Data Modeling: Design logical and physical data models, and create efficient database schemas to meet business requirements. Data Integration: Develop ETL processes to import, export, and transform data between systems using SQL Server Integration Services (SSIS) or other data integration tools. Performance Tuning: Analyze and optimize database performance, including indexing, query tuning, and database configuration for optimal performance. Database Maintenance: Perform database management tasks, including backups, restores, index maintenance, and database monitoring. Collaboration: Work closely with software developers, data analysts, and business stakeholders to gather requirements and develop database solutions that meet business needs. Troubleshooting & Debugging: Identify, troubleshoot, and resolve database issues such as performance bottlenecks, query inefficiencies, and data inconsistencies. Security & Compliance: Ensure database security, manage user permissions, and implement encryption and other security measures to protect sensitive data. Documentation: Create and maintain documentation for database schemas, processes, and procedures. Skills Must have 7+ years of experience in SQL Server Database Development. Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience). Proficiency in T-SQL, with the ability to write and optimize complex queries, stored procedures, and triggers. Experience with SQL Server 2016/2019 or later versions. Strong understanding of database design, normalization, and data modeling. Experience with SSIS (SQL Server Integration Services) for ETL processes. Proficiency in performance tuning, including query optimization and indexing strategies. Experience in database security, including role-based permissions and data encryption. Familiarity with database backup, restore, and disaster recovery procedures. Experience with version control systems like Git for managing database scripts. Strong analytical and problem-solving skills. Excellent communication and teamwork skills. Nice to have Experience with SSRS (SQL Server Reporting Services) and SSAS (SQL Server Analysis Services). Knowledge of cloud-based SQL Server (Azure SQL Database, AWS RDS for SQL Server) and related technologies. Familiarity with PowerShell scripting for database automation. Understanding of Agile methodologies and experience working in an Agile development environment. Experience with DevOps tools for database CI/CD automation. Other Languages English: B2 Upper Intermediate Seniority Senior Gurugram, India Req. VR-114918 SQL (MySQL, T-SQL, Teradata etc.) BCM Industry 06/06/2025 Req. VR-114918

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. Assist in campaign planning, targeting and audience identification; measure campaign results and performance using data analysis Gather and organize data from various sources using SQL/ Python/ R; continuously develop and demonstrate improved analysis methodologies Create content for and deliver presentations to United leadership and external stakeholders 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 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 Ensure seamless stakeholder management and keep lines of communication open with all stakeholders 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 2+ 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/ PowerBI 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 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/ PowerBI Understanding of digital acquisition channels Strong knowledge of either Python or R

About this role: Wells Fargo is seeking a Senior Analytics Consultant on the Personal Lending Data, Analytics & Reporting Team. In this role, you will: Bring an analytical mindset and generate data or insights working closely with multiple stakeholders across the Personal Lending line of business. You will help enable decision making across the line of business at a transactional, operational and product level. Lead the development and generation of reporting and data based on requests received from various facets of business. Responsible for maintaining partner relationships, ensuring high quality team deliverables and SLAs Working closely with US partners, interacting closely with multiple business partners anchor program managers Designing and solving complex business problems by using analytical techniques and tools Works with large data sets, both structured and unstructured, and from multiple sources Will be involved directly in the technical build-out and/or support of databases, query tools, reporting tools, BI tools, dashboards, etc. that enable analysis, data visualization and/or advance analytics Use standard reporting and visualization tools including SAS/SQL, Teradata, SSIS/SSRS, Tableau, Power BI Develop and maintain report and dashboard inventory Engage with cross-functional experts to ensure solutions are business ready from risk, legal, compliance, and policy perspectives Strong ability to leverage various communication methods and styles across varying levels and sizes of audiences to convey the vision of the product and address critical decision points to sustain team, customer, and stakeholder excitement around the product. Aptness for self-management, problem-solving, and critical decision making in an efficient manner using strong analytical thinking in a complex matrixed environment Ability to use empathy to understand customer and end user needs and translate into requirements Required Qualifications: 4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Additional Requirements: 1:30 PM to 10:30 PM IST Work from Office (as mandated by business, currently 3 Full Days in office) Desired Qualifications: 3+ years of experience within Consumer Lending portfolio Strong data and reporting skills Knowledge of common reporting tool sets including SAS, Teradata, Tableau, Power BI. Posting End Date: 19 Jun 2025 *Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Sr Data Analyst About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations. As a Sr Data Analyst for Target’s Merch Data Analytics team you’ll: Support our world-class Merchandising leadership team at Target with critical data analysis that helps Merch business team to make profitable decisions. Enable faster, smarter and more scalable decision-making to compete and win the modern retail market. Collaborate with stakeholders and understand their priorities/roadmap to drive business strategies using data. Interface with Target business representatives to validate business requirements/requests for analysis and present final analytical results. Designs, develops, and delivers analytical solutions resulting in decision support or models Gathers required data and performs data analysis to support needs. Communicate impact of proposed solutions to business partners Evaluates processes, analyzes and interprets statistical data Develop business acumen and cultivate client relationships Presents results in a manner that the business partners can understand. Translate scientific methodology to business terms. Documents analytical methodologies used in the execution of analytical projects Participate in knowledge sharing system to support iterative model builds Adheres to corporate information protection standards. Keep up to date on industry trends, best practices, and emerging methodologies Requirements / About You: Experience: Overall 5-8 years exp and relevant 3-5 years exp Qualification: B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent 1. Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts. 2. Proven hands-on experience in BI Visualization tool (i.e. Tableau, Domo, MSTR10, Qlik) with ability to learn additional vendor and proprietary visualizations tools. 3. Strong knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS). Exposure and extensive hands-on work with large data sets. 4. Hands on experience in R, Python, Hive or other open-source languages/database 5. Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above 6. Git source code management & experience working in an agile environment. 7. Strong attention to detail, excellent diagnostic, and problem-solving skills 8. Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines 9. Competent and curious to ask questions and learn to fill gaps, desire to teach and learn. 10. Excellent communication, service orientation and strong relationship building skills 11. Experience with Retail, Merchandising, Marketing will be strong addons Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Project description As a SQL Server Database Developer, you will play a key role in building and optimizing database systems based on SQL Server. You will collaborate with developers, data analysts, and stakeholders to ensure data integrity, performance, and security, as well as provide efficient database solutions that align with business needs. Responsibilities Database Development: Design, develop, and maintain SQL Server databases, tables, views, stored procedures, functions, and triggers to support application development. Query Optimization: Write and optimize complex T-SQL queries for performance, ensuring efficient data retrieval and manipulation. Data Modeling: Design logical and physical data models, and create efficient database schemas to meet business requirements. Data Integration: Develop ETL processes to import, export, and transform data between systems using SQL Server Integration Services (SSIS) or other data integration tools. Performance Tuning: Analyze and optimize database performance, including indexing, query tuning, and database configuration for optimal performance. Database Maintenance: Perform database management tasks, including backups, restores, index maintenance, and database monitoring. Collaboration: Work closely with software developers, data analysts, and business stakeholders to gather requirements and develop database solutions that meet business needs. Troubleshooting & Debugging: Identify, troubleshoot, and resolve database issues such as performance bottlenecks, query inefficiencies, and data inconsistencies. Security & Compliance: Ensure database security, manage user permissions, and implement encryption and other security measures to protect sensitive data. Documentation: Create and maintain documentation for database schemas, processes, and procedures. Skills Must have 7+ years of experience in SQL Server Database Development. Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience). Proficiency in T-SQL, with the ability to write and optimize complex queries, stored procedures, and triggers. Experience with SQL Server 2016/2019 or later versions. Strong understanding of database design, normalization, and data modeling. Experience with SSIS (SQL Server Integration Services) for ETL processes. Proficiency in performance tuning, including query optimization and indexing strategies. Experience in database security, including role-based permissions and data encryption. Familiarity with database backup, restore, and disaster recovery procedures. Experience with version control systems like Git for managing database scripts. Strong analytical and problem-solving skills. Excellent communication and teamwork skills. Nice to have Experience with SSRS (SQL Server Reporting Services) and SSAS (SQL Server Analysis Services). Knowledge of cloud-based SQL Server (Azure SQL Database, AWS RDS for SQL Server) and related technologies. Familiarity with PowerShell scripting for database automation. Understanding of Agile methodologies and experience working in an Agile development environment. Experience with DevOps tools for database CI/CD automation. Other Languages English: B2 Upper Intermediate Seniority Senior Chennai, India Req. VR-114918 SQL (MySQL, T-SQL, Teradata etc.) BCM Industry 06/06/2025 Req. VR-114918

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 Will Be Doing... The Commercial Data & Analytics - Impact Analytics team is part of the Verizon Global Services (VGS) organization.The Impact Analytics team addresses high-impact, analytically driven projects focused within three core pillars: Customer Experience, Pricing & Monetization, Network & Sustainability. In this role, you will analyze large data sets to draw insights and solutions to help drive actionable business decisions. You will also apply advanced analytical techniques and algorithms to help us solve some of Verizon’s most pressing challenges. Use your analysis of large structured and unstructured datasets to draw meaningful and actionable insights Envision and test for corner cases. Build analytical solutions and models by manipulating large data sets and integrating diverse data sources Present the results and recommendations of statistical modeling and data analysis to management and other stakeholders Identify data sources and apply your knowledge of data structures, organization, transformation, and aggregation techniques to prepare data for in-depth analysis Deeply understand business requirements and translate them into well-defined analytical problems, identifying the most appropriate statistical techniques to deliver impactful solutions. Assist in building data views from disparate data sources which powers insights and business cases Apply statistical modeling techniques / ML to data and perform root cause analysis and forecasting Develop and implement rigorous frameworks for effective base management. Collaborate with cross-functional teams to discover the most appropriate data sources, fields which caters to the business need Design modular, reusable Python scripts to automate data processing Clearly and effectively communicate complex statistical concepts and model results to both technical and non-technical audiences, translating your findings into actionable insights for stakeholders. What We’re Looking For... You have strong analytical skills, and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and cross functional teams to implement data science driven business solutions. You Will Need To Have Bachelor’s degree in computer science or another technical field or four or more years of work experience Four or more years of relevant work experience Proficiency in SQL, including writing queries for reporting, analysis and extraction of data from big data systems (Google Cloud Platform, Teradata, Spark, Splunk etc) Curiosity to dive deep into data inconsistencies and perform root cause analysis Programming experience in Python (Pandas, NumPy, Scipy and Scikit-Learn) Experience with Visualization tools matplotlib, seaborn, tableau, grafana etc A deep understanding of various machine learning algorithms and techniques, including supervised and unsupervised learning Understanding of time series modeling and forecasting techniques Even better if you have one or more of the following: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and deploying machine learning models at scale using platforms like Domino Data Lab or Vertex AI Experience in applying statistical ideas and methods to data sets to answer business problems. Ability to collaborate effectively across teams for data discovery and validation Experience in deep learning, recommendation systems, conversational systems, information retrieval, computer vision Expertise in advanced statistical modeling techniques, such as Bayesian inference or causal inference. Excellent interpersonal, verbal and written communication skills. 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

Data Modeling Advisor - HIH - Evernorth About Evernorth: Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. Data Modeling Advisor Position Summary: The Health Services Data Design and Metadata Management team is hiring an Architecture Senior Advisor to work across all projects. The work involves understanding and driving data design best practices, including data modeling, mapping, and analysis, and helping others to apply them across strategic data assets. The data models are wide-ranging and must include the appropriate metadata to support and improve our data intelligence. Data design centers around standard health care data (eligibility, claim, clinical, and provider data) across structured and unstructured data platforms. Job Description & Responsibilities: Perform data analysis, data modeling, and data mapping following industry and Evernorth data design standards for analytics/data warehouses and operational data stores across various DBMS types, including Teradata, Oracle, Cloud, and Hadoop, Databricks and datalake. Perform data analysis, profiling and validation, contributing to data quality efforts to understand data characteristics and ensure data correctness/condition for use. Participate in and coordinate data model metadata development processes to support ongoing development efforts (data dictionary, NSM, and FET files), maintenance of data model/data mapping metadata, and linking of our data design metadata to business terms, data models, mapping documents, ETL jobs, and data model governance operations (policies, standards, best practices). Facilitate and actively participate in data model/data mapping reviews and audits, fostering collaborative working relationships and partnerships with multidisciplinary teams. Provide guidance, mentoring, and training as needed in data modeling, data lineage, ddl code, and the associated toolsets (Erwin Data Modeler, Erwin Web Portal, Erwin model mart, Erwin Data Intelligence Suite, Alation). Assist with the creation, documentation, and maintenance of Evernorth data design standards and best practices involving data modeling, data mapping, and metadata capture including data sensitivity, data quality rules, and reference data usage. Develop and facilitate strong partnerships and working relationships with Data Governance, delivery, and other data partners. Continuously improve operational processes for data design metadata management for global and strategic data. Interact with Business stakeholders and IT in defining and managing data design. Coordination, collaboration, and innovation with Solution Verticals, Data Lake teams, IT & Business Portfolios to ensure alignment of data design metadata and related information with ongoing programs (cyber risk and security) and development efforts. Experience Required: 11 to 13 years' experience with data modeling (logical / physical data model, canonical structures, etc.) and SQL code; Experience Desired: Subject matter expertise level experience preferred Experience executing data model / data lineage governance across business and technical data. Experience utilizing data model / lineage / mapping / analysis management tools for business, technical and operational metadata (Erwin Data Modeler, Erwin Web Portal, Erwin Model Mart, Erwin Data Intelligence Suite, Alation Experience working in an Agile delivery environment (Jira, Confluence, SharePoint, Git, etc.) Education and Advanced Training Required: degree in Computer Science or a related discipline and at least six, typically eight or more years’ experience in all phases of data modeling, data warehousing, data mining, data entity analysis, logical data base design and relational data base definition, or an equivalent combination of education and work experience. Primary Skills: Physical Data Modeling, Data Warehousing, Metadata, Reference Data, Data Mapping Data Mining, Teradata, Data Quality, Excellent Communication Skills, Data Analysis, Oracle Data Governance, Database Management System, Jira, DDL, Data Integration, Microsoft, SharePoint, Database Modeling, Confluence, Agile, Marketing Analysis, SharePoint, Operations, Topo, Data Lineage, Data Warehouses, Documentation Big Data, Web Portal, Maintenance, Erwin, SQL, Unstructured Data, Audit, Git, Pharmacy DBMS, Databricks, AWS Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives. Location & Hours of Work: Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required. Equal Opportunity Statement: Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. General Shift (11:30 AM - 8:30 PM IST / 1:00 AM - 10:00 AM EST / 2:00 AM - 11:00 AM EDT) Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Overview As an Analyst, Data Modeling, your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analyzing 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-premise 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, DataBricks, 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 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 DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI). Show more Show less

Position Summary: The Software Development Associate Director provides hands on leadership, management, and thought leadership for a Delivery organization enabling Cigna's Technology teams. This individual will lead a team based in our Hyderabad Innovation Hub to deliver innovative solutions supporting multiple business and technology domains within Cigna. This includes the Sales & Underwriting, Producer, Service Operations, and Pharmacy business lines, as well as testing and DevOps enablement. The focus of the team is to build innovative go-to-market solutions enabling business while modernizing our existing asset base to support business growth. The Technology strategy is aligned to our business strategy and the candidate will not only be able to influence technology direction but also establishing our team through recruiting and mentoring employees and vendor resources. This is a hands-on position with visibility to the highest levels of the Cigna Technology team. This leader will focus on enabling innovation using the latest technologies and development techniques. This role will foster rapidly building out a scalable delivery organization that aligns with all areas within the Technology team. The ideal candidate will be able to attract and develop talent in a highly dynamic environment. Job Description & Responsibilities: Provide leadership, vision, and design direction for the quality and development of the US Medical and Health Services Technology teams based at the Hyderabad Innovation Hub (HIH). Work in close coordination with leaders and teams based in the United States, as well as contractors employed by the US Medical and Health Services Technology team who are based both within and outside of the United States, to deliver products and capabilities in support of Cigna's business lines. Provide leadership to HIH leaders and teams ensuring the team is meeting the following objectives: Design, configuration, implementation application design/development, and quality engineering within the supported technologies and products. Hands-on people manager who has experience leading agile teams of highly talented technology professionals developing large solutions and internal facing applications. They are expected to work closely with developers, quality engineers, technical project managers, principal engineers, and business stakeholders to ensure that application solutions meet business/customer requirements. A servant leader mentality and a history of creating an inclusive environment, fostering diverse views and approaches from the team, and coaching and mentoring them to thrive in a dynamic workplace. A history of embracing and incubating emerging technology and open-source products. A passion for building highly resilient, scalable, and available platforms, rich reusable foundational capabilities and seamless developer experience while focusing on strategic vision and technology roadmap delivery in an MVP iterative fast paced approach. Accountable for driving towards timely decisions while influencing across engineering and development delivery teams to drive towards meeting project timelines while balancing destination state. Ensure engineering solutions align with the Technology strategy and that they support the applications requirements. Plan and implement procedures that will maximize engineering and operating efficiency for application integration technologies. Identify and drive process improvement opportunities. Proactive monitoring and management design of supported assets assuring performance, availability, security, and capacity. Maximize the efficiency (operational, performance, and cost) of the application assets. Experience Required: 17 to 19 years of IT and business/industry or equivalent experience preferred, with at least 5 years of experience in a leadership role with responsibility for the delivery of large-scale projects and programs. Leadership, cross-cultural communication, and familiarity with wide range of technologies and stakeholders. Strong Emotional Intelligence with the ability to foster collaboration across geographically dispersed teams. Experience Desired: Recognized leader with proven track record of delivering software engineering initiatives and cross-IT/business initiatives. Proven experience leading/managing technical teams with a passion for developing talent within the team. Experience with vendor management in an onshore/offshore model. Experience in Healthcare, Pharmacy and/or Underwriting systems. Experience with AWS. Education and Training Required: B.S. degree in Computer Science, Information Systems, or other related degrees; Industry certifications such as AWS Solution Architect, PMP, Scrum Master, or Six Sigma Green Belt are also ideal. Primary Skills: Familiarity with most of the following Application Development technologies: Python, RESTful services, React, Angular, Postgres, and MySQL (relational database management systems). Familiarity with most of the following Data Engineering technologies: Databricks, Spark, PySpark, SQL, Teradata, and multi-cloud environments. Familiarity with most of the following Cloud and Emerging technologies: AWS, LLMs (OpenAI, Anthropic), vector databases (Pinecone, Milvus), graph databases (Neo4j, JanusGraph, Neptune), prompt engineering, and fine-tuning AI models. Familiarity with enterprise software development lifecycle to include production reviews and ticket resolution, navigating freeze/stability periods effectively, total cost of ownership reporting, and updating applications to align with evolving security and cloud standards. Familiarity with agile methodology including SCRUM team leadership or Scaled Agile (SAFE). Familiarity with modern delivery practices such as continuous integration, behavior/test driven development, and specification by example. Deep people and matrix management skills, with a heavy emphasis on coaching and mentoring of less senior staff, and a strong ability to influence VP level leaders. Proven ability to resolve issues and mitigate risks that could undermine the delivery of critical initiatives. Strong written and verbal communication skills with the ability to interact with all levels of the organization. Strong influencing/negotiation skills. Strong interpersonal/relationship management skills. Strong time and project management skills.

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 Will Be Doing... The Commercial Data & Analytics - Impact Analytics team is part of the Verizon Global Services (VGS) organization.The Impact Analytics team addresses high-impact, analytically driven projects focused within three core pillars: Customer Experience, Pricing & Monetization, Network & Sustainability. In this role, you will analyze large data sets to draw insights and solutions to help drive actionable business decisions. You will also apply advanced analytical techniques and algorithms to help us solve some of Verizon’s most pressing challenges. Use your analysis of large structured and unstructured datasets to draw meaningful and actionable insights Envision and test for corner cases. Build analytical solutions and models by manipulating large data sets and integrating diverse data sources Present the results and recommendations of statistical modeling and data analysis to management and other stakeholders Identify data sources and apply your knowledge of data structures, organization, transformation, and aggregation techniques to prepare data for in-depth analysis Deeply understand business requirements and translate them into well-defined analytical problems, identifying the most appropriate statistical techniques to deliver impactful solutions. Assist in building data views from disparate data sources which powers insights and business cases Apply statistical modeling techniques / ML to data and perform root cause analysis and forecasting Develop and implement rigorous frameworks for effective base management. Collaborate with cross-functional teams to discover the most appropriate data sources, fields which caters to the business need Design modular, reusable Python scripts to automate data processing Clearly and effectively communicate complex statistical concepts and model results to both technical and non-technical audiences, translating your findings into actionable insights for stakeholders. What We’re Looking For... You have strong analytical skills, and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and cross functional teams to implement data science driven business solutions. You Will Need To Have Bachelor’s degree in computer science or another technical field or four or more years of work experience Four or more years of relevant work experience Proficiency in SQL, including writing queries for reporting, analysis and extraction of data from big data systems (Google Cloud Platform, Teradata, Spark, Splunk etc) Curiosity to dive deep into data inconsistencies and perform root cause analysis Programming experience in Python (Pandas, NumPy, Scipy and Scikit-Learn) Experience with Visualization tools matplotlib, seaborn, tableau, grafana etc A deep understanding of various machine learning algorithms and techniques, including supervised and unsupervised learning Understanding of time series modeling and forecasting techniques Even better if you have one or more of the following: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and deploying machine learning models at scale using platforms like Domino Data Lab or Vertex AI Experience in applying statistical ideas and methods to data sets to answer business problems. Ability to collaborate effectively across teams for data discovery and validation Experience in deep learning, recommendation systems, conversational systems, information retrieval, computer vision Expertise in advanced statistical modeling techniques, such as Bayesian inference or causal inference. Excellent interpersonal, verbal and written communication skills. 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

Job Title: Data Architect (C2) Job Summary The Data Architect will provide technical expertise in analysis, design, development, rollout and maintenance of enterprise data models and solutions Provides technical expertise in needs identification, data modelling, data movement and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective. Understands and leverages best fit technologies (e.g., cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges Provides data understanding and coordinate data related activities with other data management groups such as master data management, data governance and metadata management. Leadership not only in the conventional sense, but also within a team we expect people to be leaders. Candidate should elicit leadership qualities such as Innovation, Critical thinking, optimism/positivity, Communication, Time Management, Collaboration, Problem-solving, Acting Independently, Knowledge sharing and Approachable. Essential Duties Design and develop conceptual / logical / physical data models for building large scale data lake and data warehouse solutions Understanding of data integration processes (batch or real-time) using tools such as Informatica PowerCenter and/or Cloud, Microsoft SSIS, MuleSoft, DataStage, Sqoop, etc. Create functional & technical documentation – e.g. data integration architecture documentation, data models, data dictionaries, data integration specifications, data testing plans, etc. Collaborate with business users to analyse and test requirements Stays current with emerging and changing technologies to best recommend and implement beneficial technologies and approaches for Data Architecture Assist with and support setting the data architecture direction (including data movement approach, architecture / technology strategy, and any other data-related considerations to ensure business value,) ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level Coordinate and consult with the project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels Education & Experience 5-10 years of Enterprise Data Modelling Experience using major data modelling tools (examples: ERwin, ER/Studio, PowerDesigner, etc.) Expert proficiency in Data Contracts, Data Modelling, and Data Vault 2.0. Experience with major database platforms (e.g. Oracle, SQL Server, Teradata, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) 3-5 years of management experience required 3-5 years consulting experience preferred Bachelor’s degree or equivalent experience, Master’s Degree Preferred Experience in data analysis and profiling Strong data warehousing and OLTP systems from a modelling and integration perspective Strong understanding of data integration best practices and concepts Strong development experience under Unix and/or Windows environments Strong SQL skills required scripting (e.g., PL/SQL) preferred Strong Knowledge of all phases of the system development life cycle Understanding of modern data warehouse capabilities and technologies such as real-time, cloud, Big Data. Understanding of on premises and cloud infrastructure architectures (e.g. Azure, AWS, Google Cloud) Preferred Skills & Experience Comprehensive understanding of relational databases and technical documentation Ability to analyse business requirements as they relate to the data movement and transformation processes, research, evaluation and recommendation of alternative solutions. Ability to transform business requirements into technical requirement documents. Ability to run conceptual data modelling sessions to accurately define business processes, independently of data structures and then combines the two together. Can create documentation and presentations such that the they “stands on their own.” Demonstrates ability to create new and innovative solutions to problems that have previously not been encountered. Ability to work independently on projects as well as collaborate effectively across teams Must excel in a fast-paced, agile environment where critical thinking and strong problem solving skills are required for success Strong team building, interpersonal, analytical, problem identification and resolution skills Experience working with multi-level business communities Can effectively utilise SQL and/or available BI tool to validate/elaborate business rules. Demonstrates an understanding of EDM architectures and applies this knowledge in collaborating with the team to design effective solutions to business problems/issues. Understands and leverages a multi-layer semantic model to ensure scalability, durability, and supportability of the analytic solution. Understands modern data warehouse concepts (real-time, cloud, Big Data) and how to enable such capabilities from a reporting and analytic stand-point. Demonstrated ability to serve as a trusted advisor that builds influence with client management beyond simply EDM Show more Show less

Job Overview: As Senior Analyst, Data Modeling , your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analyzing 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-premise 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, DataBricks, 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: 8+ years of overall technology experience that includes at least 4+ years of data modeling and systems architecture. 3+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 4+ 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/operatinghighly 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 DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI).

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities As an Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Preferred Education Master's Degree Required Technical And Professional Expertise Design and implement efficient database schemas and data models using Teradata. Optimize SQL queries and stored procedures for performance. Perform database administration tasks including installation, configuration, and maintenance of Teradata systems Preferred Technical And Professional Experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences Show more Show less

HIH - Software Engineering Associate Advisor Position Overview The successful candidate will be a member of our US medical Integration Solutions ETL team. They will play a major role in the design and development if the ETL application in support of various portfolio projects. Responsibilities Analyze business requirements and translate into ETL architecture and data rules Serve as advisor and subject matter expert on project teams Manage both employees and consultants on multiple ETL projects. Oversee and review all design and coding from developers to ensure they follow company standards and best practices, as well as architectural direction Assist in data analysis and metadata management Test planning and execution Effectively operate within a team of technical and business professionals Asses new talent and mentor direct reports on best practices Review all designs and code from developers Qualifications Desired Skills & Experience: 8 - 11 Years of Experience in Java and Python, PySpark to support new development as well as support existing 7+ Years of Experience with Cloud technologies, specifically AWS Experience in AWS services such as Lambda, Glue, s3, MWAA, API Gateway and Route53, DynamoDB, RDS MySQL, SQS, CloudWatch, Secrete Manager, KMS, IAM, EC2 and Auto Scaling Group, VPC and Security Groups Experience with Boto3, Pandas and Terraforms for building Infrastructure as a Code Experience with IBM Datastage ETL tool Experience with CD /CI methodologies and processing and the development of these processes DevOps experience Knowledge in writing SQL Data mapping: source to target : target to multiple formats Experience in the development of data extraction and load processes in a parallel framework Understanding of normalized and de-normalized data repositories Ability to define ETL standards & processes SQL Standards / Processes / Tools: Mapping of data sources ETL Development, monitoring, reporting and metrics Focus on data quality Experience with DB2/ZOS, Oracle, SQL Server, Teradata and other database environments Unix experience Excellent problem solving and organizational skills Strong teamwork and interpersonal skills and ability to communicate with all management levels Leads others toward technical accomplishments and collaborative project team efforts Very strong communication skills, both verbal and written, including technical writing Strong analytical and conceptual skills Location & Hours of Work (Specify whether the position is remote, hybrid, in-office and where the role is located as well as the required hours of work) Equal Opportunity Statement About Evernorth Health Services

Location: Pune Working Mode: Hybrid Experience: 4 to 10 years Primary Skills: Oracle EPM i.e. Hyperion Essbase and Planning applications version 11.1.2.2 OR higher. Smart View, Web Forms and reports Maxl Alternate Skills: SQL Oracle Data Integrator Knowledge of Finance Controlling, Planning, Budgeting and Forecasting. Good experiences in: -Hyperion, ODI, Teradata -Finance (Controlling & Planning) -Deliver project on time with minimal defect. -Ensuring KPI's are met. -Delivery of projects as per the plan. -Ability to work under pressure to tight deadlines. Core competencies, knowledge and experience: Essential: -Good finance background mainly in Finance Controlling and Planning -Working experience with a largescale implementation of Hyperion Essbase and Planning applications version 11.1.2.2 or higher -Rich experience in developing and maintaining Hyperion Planning and Essbase applications. -Strong understanding of ASO/BSO cube development -Able to manage different stakeholders. Experience: -Coordination of operational activities during MEC process, also under pressure due to possible issues. -Working experience on of writing basic query or SQL in TERADATA -Experience with Smart View, web forms and reports, Maxl, Oracle Data Integrator, and UNIX shell scripting. -Experience is a plus Deep functional and technical knowledge of financial systems and business processes, especially around planning, budgeting, & forecasting -Responsible for creating, documenting, and implementing scalable solution design and implementation plans -Working experience on Oracle Data Integrator (ODI). -Detail conscious, Problem solver & Innovative thinker. -Relevant work experience (8-10) years -Provide Process related metrics.

Key Responsibilities JOB DESCRIPTION Develop, optimize, and maintain complex SQL queries, stored procedures, functions, and views. Analyze slow-performing queries and optimize execution plans to improve database performance. Design and implement indexing strategies to enhance query efficiency. Work with developers to optimize database interactions in applications. Develop and implement Teradata best practices for large-scale data processing and ETL workflows. Monitor and troubleshoot Teradata performance issues using tools like DBQL (Database Query Log), Viewpoint, and Explain Plan Analysis. Perform data modeling, normalization, and schema design improvements. Collaborate with teams to implement best practices for database tuning and performance enhancement. Automate repetitive database tasks using scripts and scheduled jobs. Document database architecture, queries, and optimization techniques. Responsibilities Required Skills & Qualifications: Strong proficiency in Teradata SQL, including query optimization techniques. Strong proficiency in SQL (T-SQL, PL/SQL, or equivalent). Experience with indexing strategies, partitioning, and caching techniques. Knowledge of database normalization, denormalization, and best practices. Familiarity with ETL processes, data warehousing, and large datasets. Experience in writing and optimizing stored procedures, triggers, and functions. Hands-on experience in Teradata performance tuning, indexing, partitioning, and statistics collection. Experience with EXPLAIN plans, DBQL analysis, and Teradata Viewpoint monitoring. Candidate should have PowerBI / Tableau integration experience - Good to Have About Us ABOUT US Bristlecone is the leading provider of AI-powered application transformation services for the connected supply chain. We empower our customers with speed, visibility, automation, and resiliency – to thrive on change. Our transformative solutions in Digital Logistics, Cognitive Manufacturing, Autonomous Planning, Smart Procurement and Digitalization are positioned around key industry pillars and delivered through a comprehensive portfolio of services spanning digital strategy, design and build, and implementation across a range of technology platforms. Bristlecone is ranked among the top ten leaders in supply chain services by Gartner. We are headquartered in San Jose, California, with locations across North America, Europe and Asia, and over 2,500 consultants. Bristlecone is part of the $19.4 billion Mahindra Group. Equal Opportunity Employer Bristlecone is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status . Information Security Responsibilities Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System. Take part in information security training and act while handling information. Report all suspected security and policy breach to InfoSec team or appropriate authority (CISO). Understand and adhere to the additional information security responsibilities as part of the assigned job role. Show more Show less

Role Expectations: Lead the offshore Power BI development team. Oversee the development and testing of Power BI reports and dashboards. Ensure adherence to project timelines and quality standards. Collaborate with the onshore architect and project manager. Provide technical guidance and support to the offshore team. Work with the data engineers to validate the data within snowflake and teradata. Qualifications: Strong leadership and communication skills. Extensive experience with Power BI development. Proficiency in DAX, Power Query, and data modeling. Experience with Agile development methodologies. Ability to manage and mentor a team. Testing and validation of the user stories developed by engineers Remove any bottlenecks and technical impediments for the project Skills must have Team Lead / Project Leading Experience Power BI (Desktop, Service) DAX, Power Query PowerBI Reports Builder SQL Show more Show less

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. Assist in campaign planning, targeting and audience identification; measure campaign results and performance using data analysis Gather and organize data from various sources using SQL/ Python/ R; continuously develop and demonstrate improved analysis methodologies Create content for and deliver presentations to United leadership and external stakeholders 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 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 Ensure seamless stakeholder management and keep lines of communication open with all stakeholders 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 2+ 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/ PowerBI 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 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/ PowerBI Understanding of digital acquisition channels Strong knowledge of either Python or R GGN00002085 Show more Show less

Description AWS Fintech team is looking for a Data Engineering Manager to transform and optimize high-scale, world class financial systems that power the global AWS business. The success of these systems will fundamentally impact the profitability and financial reporting for AWS and Amazon. This position will play an integral role in leading programs that impact multiple AWS cost optimization initiatives. These programs will involve multiple development teams across diverse organizations to build sophisticated, highly reliable financial systems. These systems enable routine finance operations as well as machine learning, analytics, and GenAI reporting that enable AWS Finance to optimize profitability and free cash flow. This position requires a proactive, highly organized individual with an aptitude for data-driven decision making, a deep curiosity for learning new systems, and collaborative skills to work with both technical and financial teams. Key job responsibilities Build and lead a team of data engineers, application development engineers, and systems development engineers Drive execution of data engineering programs and projects Help our leadership team make challenging decisions by presenting well-reasoned and data-driven solution proposals and prioritizing recommendations. Identify and execute on opportunities for our organization to move faster in delivering innovations to our customers. This role has oncall responsibilities. A day in the life The successful candidate will build and grow a high-performing data engineering team to transform financial processes at Amazon. The candidate will be curious and interested in the capabilities of Large Language Model-based development tools like Amazon Q to help teams accelerate transformation of systems. The successful candidate will begin with execution to familiarize themselves with the space and then construct a strategic roadmap for the team to innovate. You thrive and succeed in an entrepreneurial environment, and are not hindered by ambiguity or competing priorities. You thrive driving strategic initiatives and also dig in deep to get the job done. About The Team The AWS FinTech team enables the growth of earth’s largest cloud provider by building world-class finance technology solutions for effective decision making. We build scalable long-term solutions that provide transparency into financial business insights while ensuring the highest standards of data quality, consistency, and security. We encourage a culture of experimentation and invest in big ideas and emerging technologies. We are a globally distributed team with software development engineers, data engineers, application developers, technical program managers, and product managers. We invest in providing a safe and welcoming environment where inclusion, acceptance, and individual values are honored. Basic Qualifications Experience managing a data or BI team 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 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 Preferred Qualifications Knowledge of software development life cycle or agile development environment with emphasis on BI practices 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. Company - Amazon Dev Center India - Hyderabad Job ID: A2961772 Show more Show less

Line of Service Advisory Industry/Sector FS X-Sector 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. Job location: Bangalore Total experience: 6 to 8 years Job Description  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 Set-Scala/Python Preferred Skill Set-Scala/Python Year of experience required-5+ Qualifications-Btech Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Full time | Work From Office This Position is Currently Open Department / Category: ADMIN Listed on Jun 04, 2025 Work Location: HYDERABAD BANGALORE Job Descritpion of Teradata DBA Admin 5 to 8 Years Relevant Experience We are seeking a skilled and proactive Teradata DBA Administrator with 5–8 years of experience in managing and supporting Teradata environments. The ideal candidate will be responsible for installation, configuration, performance monitoring, backup/recovery, and security management across multiple Teradata systems. This role requires a strong understanding of Teradata architecture and hands-on experience in database administration and optimization. Key Responsibilities: Install, configure, upgrade, and maintain Teradata software and related components. Manage and execute database backup, recovery, and migration processes. Establish and maintain disaster recovery policies and procedures. Proactively monitor and tune database performance to ensure high availability and minimal downtime. Implement and maintain robust database security measures. Maintain detailed documentation, standards, and procedures for database environments. Support and manage multiple Teradata systems, including enterprise data warehouses and independent marts. Collaborate with system and development teams to ensure optimal use of hardware resources and database performance. Manage database upgrades and the rollout of new features and improvements. Support the implementation and release of database changes from the development team. Perform user, database, role, and profile management activities. Conduct SQL performance tuning and analysis. Required Skills: Strong experience with Teradata database administration, performance tuning, and system monitoring. In-depth knowledge of SQL and database performance optimization. Solid understanding of Teradata roles, users, databases, and access management. Experience in backup, restore, disaster recovery, and data migration processes. Excellent troubleshooting, analytical, and problem-solving skills. Strong communication skills and ability to work in a collaborative team environment. Preferred Qualifications: Experience with Teradata Viewpoint, Teradata Tools and Utilities (TTU). Knowledge of scripting (Shell, Python) for automation tasks. Exposure to data warehousing concepts and ETL processes. Experience working in cloud-based Teradata environments is a plus. Required Skills for Teradata DBA Admin Job Teradata Our Hiring Process Screening (HR Round) Technical Round 1 Technical Round 2 Final HR Round