1320 Teradata Jobs - Page 39

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

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Data Engineer - Google Cloud  5+ years direct experience working in Enterprise Data Warehouse technologies.  5+ 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, Python and SQL.  Experience designing and deploying large scale distributed data processing systems with few 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 Cloud Architect Or Google Cloud Professional Data Engineer + AWS Big Data Specialty Certification Mandatory skill sets-GCP Data Engineering, SQL, Python Preferred Skill Sets-GCP Data Engineering, SQL, Python Year of experience required-4-8 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 Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) –Senior- Snowflake As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance. The opportunity We’re looking for candidates with strong technology and data understanding in big data engineering space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team. Your Key Responsibilities Lead and Architect migration of data analytics environment from Teradata to Snowflake with performance and reliability Develop & deploy big data pipelines in a cloud environment using Snowflake cloud DW ETL design, development and migration of existing on-prem ETL routines to Cloud Service Interact with senior leaders, understand their business goals, contribute to the delivery of the workstreams Design and optimize model codes for faster execution Skills And Attributes For Success Hands on developer in the field of data warehousing, ETL Hands on development experience in Snowflake. Experience in Snowflake modelling - roles, schema, databases. Experience in Integrating with third-party tools, ETL, DBT tools Experience in Snowflake advanced concepts like setting up resource monitors and performance tuning would be preferable Applying object-oriented and functional programming styles to real-world Big Data Engineering problems using Java/Scala/Python Develop data pipelines to perform batch and Real - Time/Stream analytics on structured and unstructured data. Data processing patterns, distributed computing and in building applications for real-time and batch analytics. Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing. To qualify for the role, you must have Be a computer science graduate or equivalent with 3 - 7 years of industry experience Have working experience in an Agile base delivery methodology (Preferable) Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. Excellent communicator (written and verbal formal and informal). Be a technical expert on all aspects of Snowflake Deploy Snowflake following best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own Work hands-on with customers to demonstrate and communicate implementation best practices on Snowflake technology Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments Provide guidance on how to resolve customer-specific technical challenges Ideally, you’ll also have Client management skills What We Look For Minimum 5 years of experience as Architect on Analytics solutions and around 2 years of experience with Snowflake. People with technical experience and enthusiasm to learn new things in this fast-moving environment What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

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

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. ͏ Mandatory Skills: Teradata. Experience: 5-8 Years. Please find the Teradata JD Below: Good understanding of DWH Good Experience in Teradata (Bteqs), Oracle and SQL Server ETL Knowledge like (Informatica) BI Knowledge (like Power BI or looker) Basic Shell scripting Scheduling tools like (Maestro) Good understanding of CICD in Azure DevOps or GitHub, with knowledge of Jenkin Jobs ͏ Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers’ and clients’ business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLA’s ͏ Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks ͏ Deliver No Performance Parameter Measure 1 Process No. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT 2 Team Management Productivity, efficiency, absenteeism 3 Capability development Triages completed, Technical Test performance Mandatory Skills: Teradata. Experience: 5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Date live: 06/02/2025 Business Area: Physical Operations Area of Expertise: Technology Contract: Permanent Reference Code: JR-0000046220 Be a part of a place where challenges are measured in billions, qubits and nanoseconds. Build your career in an environment where we’re advancing machine learning, leveraging blockchains, and harnessing FinTech. Working in Barclays technology, you’ll reimagine possibilities: learning and innovating to solve the challenges ahead, delivering for millions of customers. We are shaping the future of financial technology. Why not join us and make it happen here? Join us as a "Senior Data Operations Analyst" at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences. You may be assessed on the key critical skills relevant for success in role, such as experience with SQL and Unix, as well as job-specific skillsets. To be successful as a "Data Operations Analyst", you should have experience with: Developing and managing your campaigns Proactively monitor and track the outcome of scheduled processes daily (Monday – Friday 8am – 4pm) with issues expected to be raised within an hour of detection and on same day. Operate the scheduler change process, including tracking new requests, confirming all governance steps have been performed, and then deploying changes into the scheduler in a controlled way. In the event of process failures being detected, promptly communicate this to stakeholders, then perform any agreed action to remediate this issue. Continuously maintain documentation for processes that support the scheduler, for instance the program and specification documentation. Where required of our area, coordinate the capture of information needed to provide a collective response to impact assessment requests from infrastructure teams. In the event of issues being caused by infrastructure, lead the raising of incidents to platform support teams, and regularly communicate progress and outcomes to stakeholders. Perform all steps as set out in role process documentation for scheduler management. Stakeholder Management Main stakeholders are the Customer Targeting team within Customer Communication Delivery, with the expectation that you support the team through accurately and promptly dealing with scheduled process queries and issues. Other stakeholders are the multiple support teams we rely upon for the platforms and tools that the team use to execute customer communications. You’ll need to contact them whenever their support is needed with an issue. On occasion you may need to communicate with processes owners in Barclays UK . Decision-making and Problem Solving If a problem is found with a scheduled process then evaluation of the issue and root cause identification should be performed quickly before escalating to the process owner or Team Lead(s), ideally with a recommendation of how to resolve the issue. It’s important that this evaluation considers a range of possible causes and considers whether multiple issues in a short time could be linked to a common root cause. Person Specification Excellent attention to detail. Well organised and diligent when updating documentation. Strong written and verbal communication skills with the ability to communicate technical information in a clear and appropriate way to colleagues who may not have the same understanding, as well as share relevant information or updates with the team. Ability to problem solve and work under pressure Able to build effective and respectful working relationships with colleagues and other teams across geographies and as part of virtual teams. Speaks up to ensure that team processes and controls are followed. Basic/ Essential Qualifications: Strong planning, organisational, and stakeholder management skills Good analytical and problem solving skills. High attention to detail and quality of work. Knowledge and practical experience with SQL syntax and logic Desirable skillsets/ good to have: Practical experience with working with schedulers, such as Unix CRON or Tivoli’s Dynamic Workload Console (TWS) Practical experience with Teradata or Hadoop databases, ideally in a commercial environment. Practical experience with SAS or R programming languages, ideally in a commercial environment. Microsoft Excel to an advanced level. This role will be based out of Chennai. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. (Opens in new tab or window) (Opens in new tab or window) (Opens in new tab or window) Reasonable adjustment Our purpose Equal opportunities Right to work statement Who succeeds in Tech at Barclays? For a career with us, you need to be prepared to take big steps forward, curious to face the challenges ahead, and driven to focus on the outcomes. We need people with the Barclays mindset to make it happen here. What you'll get in return Competitive holiday allowance Life assurance Private medical care Pension contribution Our technology Supporting our 48 million customers and clients worldwide takes a lot of forward thinking. It means harnessing technology to support the economy. It means making a difference to people’s lives. And it requires the maintenance and development of a global, technological infrastructure. At Barclays, technology helps us keep transactions moving, manages data, and protects our customers. Join a world where your work creates unique moments of impact. Make it happen here. This is Barclays Chennai Barclays Chennai is one of our key strategic locations. It’s home to over 5,000 talented and passionate Barclays colleagues, across Finance, HR, operational and technology functions ensuring the bank’s technology and infrastructure runs smoothly. A workplace of the future Your wellbeing Your commute More than just a workplace Working flexibly We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports your personal needs, alongside the professional needs of our business. If you'd like to explore flexible working arrangements, please discuss this with the hiring manager. Your request will be reviewed in-line with the requirements of the role/business needs of the team. Hybrid working We have a structured approach to hybrid working, where colleagues work at an onsite location on fixed, ‘anchor’, days, as set by the business area. Please discuss the working pattern requirements for the role you are applying for with the hiring manager. Please note that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business. Barclays is built on an international scale. Our geographic reach, our wide variety of functions, businesses, roles and locations reflect the rich diversity of our worldwide customer base. All of which means we offer incredible variety, depth and breadth of experience. And the chance to learn from a globally diverse mix of colleagues, including some of the very best minds in banking, finance, technology and business. Throughout, we’ll encourage you to embrace mobility, exploring every part of our operations as you build your career.

About us: Analytics & Information Management AIM is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast-growing organization working with Citi businesses and functions across the world. Remediation & Remuneration COE Remediation team is responsible for cross functional coordination of customer facing remediation efforts. Provide oversight, prioritization, and scheduling of remediation activities with remediation partner teams including Technology, FSO, Analytics groups, Shared Services (mail vendor) and Controllers. R&R AIM Team works as the data Analytic partner for the Issue Remediation Business Team. Job responsibilities: R&R team manages the analysis of the customer remediation issues across globe, currently in retail consumer bank. The critical areas are work is divided into: Remediation analysis : Execution of the comprehensive data remediation approach on Customer issues due to gaps observed in policies and governance, Self-identified, or through IA. Impact assessment : Identification of size of the customers and the dollar amount impacted due to these issues. Issue Management & Root cause analysis : Identifying the issues and reasons for the issues by leveraging analytical methods. Audit Support : Tracking implementation plans and providing data evidence, artifacts for audit completion Report Generation : Generate business metrics and actionable business insights using latest reporting tools Expertise Required: Tools and Platforms Proficient in SAS, SQL, RDBMS, Teradata, Unix Proficient in MS Excel, PowerPoint, and VBA Jira, Bitbucket, Sharepoint Tableau, Cognos Exposure to Big data, Python Domain Skills Good understanding of banking domain and consumer products (Retail Banking, Deposit, Loans, Wealth management, Mortgage, Insurance, etc.) (Preferred) Knowledge of Finance Regulations, Understanding on Retail Business/ Banking Domain Analytical & Interpersonal Skills Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Data analysis, Data profiling, Data Management skills MIS reporting and generate actionable Business Insights Should have excellent communication and inter-personal skills Good process management skills Coming up with automated Techniques to reduce redundancy, remove false positives and enhance optimization Identification of control gaps and providing recommendations as per data strategy (Preferred) - Risk & control Metrics & Audit Framework Exposure Other Info: Education Level : Master’s / Advanced Degree in Information Technology/ Computer Applications/ Engineering/ MBA from a premier institute Overall experience of 2-5 years Job Category : Decision Management Schedule : Full-time Shift : Regular Local Working Hours (aligned with NAM working hours) Employee Status : Regular Salary Grade : C09 - Job Family Group: Decision Management - Job Family: Data/Information Management - Time Type: Full time - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

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 str/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/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

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 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 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 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.

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 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 PepsiCo operates in an environment undergoing immense and rapid change. Big-data and digital technologies are driving business transformation that is unlocking new capabilities and business innovations in areas like eCommerce, mobile experiences and IoT. The key to winning in these areas is being able to leverage enterprise data foundations built on PepsiCo’s global business scale to enable business insights, advanced analytics, and new product development. PepsiCo’s Data Management and Operations team is tasked with the responsibility of developing quality data collection processes, maintaining the integrity of our data foundations, and enabling business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation. What PepsiCo Data Management and Operations does: Maintain a predictable, transparent, global operating rhythm that ensures always-on access to high-quality data for stakeholders across the company. Responsible for day-to-day data collection, transportation, maintenance/curation, and access to the PepsiCo corporate data asset. Work cross-functionally across the enterprise to centralize data and standardize it for use by business, data science or other stakeholders. Increase awareness about available data and democratize access to it across the company. As a data engineering lead, you will be the key technical expert overseeing PepsiCo's data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. You'll be empowered to create & lead a strong team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data engineering team, you will help lead the development of very large and complex data applications into 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. You will work closely with process owners, product owners and business users. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. Ideally Candidate must be flexible to work an alternative schedule either on tradition work week from Monday to Friday; or Tuesday to Saturday or Sunday to Thursday depending upon coverage requirements of the job. The candidate can work with immediate supervisor to change the work schedule on rotational basis depending on the product and project requirements. Responsibilities Manage a team of data engineers and data analysts by delegating project responsibilities and managing their flow of work as well as empowering them to realize their full potential. Design, structure and store data into unified data models and link them together to make the data reusable for downstream products. Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products. Create reusable accelerators and solutions to migrate data from legacy data warehouse platforms such as Teradata to Azure Databricks and Azure SQL. Enable and accelerate standards-based development prioritizing reuse of code, adopt test-driven development, unit testing and test automation with end-to-end observability of data Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality, performance and cost. Collaborate with internal clients (product teams, sector leads, data science teams) and external partners (SI partners/data providers) to drive solutioning and clarify solution requirements. Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects to build and support the right domain architecture for each application following well-architected design standards. Define and manage SLA’s for data products and processes running in production. Create documentation for learnings and knowledge transfer to internal associates. Qualifications 12+ years of overall technology experience that includes at least 5+ years of hands-on software development, data engineering, and systems architecture. 8+ years of experience with Data Lakehouse, Data Warehousing, and Data Analytics tools. 6+ years of experience in SQL optimization and performance tuning on MS SQL Server, Azure SQL or any other popular RDBMS 6+ years of experience in Python/Pyspark/Scala programming on big data platforms like Databricks 4+ years in cloud data engineering experience in Azure or AWS. Fluent with Azure cloud services. Azure Data Engineering certification is a plus. Experience with integration of multi cloud services with on-premises technologies. Experience with data modelling, data warehousing, and building high-volume ETL/ELT pipelines. Experience with data profiling and data quality tools like Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one business intelligence tool such as Power BI or Tableau Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes. Experience with version control systems like ADO, Github and CI/CD tools for DevOps automation and deployments. Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools. Experience with Statistical/ML techniques is a plus. Experience with building solutions in the retail or in the supply chain space is a plus. Understanding of metadata management, data lineage, and data glossaries is a plus. BA/BS in Computer Science, Math, Physics, or other technical fields. Candidate must be flexible to work an alternative work schedule either on tradition work week from Monday to Friday; or Tuesday to Saturday or Sunday to Thursday depending upon product and project coverage requirements of the job. Candidates are expected to be in the office at the assigned location at least 3 days a week and the days at work needs to be coordinated with immediate supervisor Skills, Abilities, Knowledge: Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management. Proven track record of leading, mentoring data teams. Strong change manager. Comfortable with change, especially that which arises through company growth. Ability to understand and translate business requirements into data and technical requirements. High degree of organization and ability to manage multiple, competing projects and priorities simultaneously. Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment. Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs. Foster a team culture of accountability, communication, and self-management. Proactively drives impact and engagement while bringing others along. Consistently attain/exceed individual and team goals. Ability to lead others without direct authority in a matrixed environment. Comfortable working in a hybrid environment with teams consisting of contractors as well as FTEs spread across multiple PepsiCo locations. Domain Knowledge in CPG industry with Supply chain/GTM background is preferred. Show more Show less

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 str/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/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

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) –Senior- Snowflake As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance. The opportunity We’re looking for candidates with strong technology and data understanding in big data engineering space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team. Your Key Responsibilities Lead and Architect migration of data analytics environment from Teradata to Snowflake with performance and reliability Develop & deploy big data pipelines in a cloud environment using Snowflake cloud DW ETL design, development and migration of existing on-prem ETL routines to Cloud Service Interact with senior leaders, understand their business goals, contribute to the delivery of the workstreams Design and optimize model codes for faster execution Skills And Attributes For Success Hands on developer in the field of data warehousing, ETL Hands on development experience in Snowflake. Experience in Snowflake modelling - roles, schema, databases. Experience in Integrating with third-party tools, ETL, DBT tools Experience in Snowflake advanced concepts like setting up resource monitors and performance tuning would be preferable Applying object-oriented and functional programming styles to real-world Big Data Engineering problems using Java/Scala/Python Develop data pipelines to perform batch and Real - Time/Stream analytics on structured and unstructured data. Data processing patterns, distributed computing and in building applications for real-time and batch analytics. Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing. To qualify for the role, you must have Be a computer science graduate or equivalent with 3 - 7 years of industry experience Have working experience in an Agile base delivery methodology (Preferable) Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. Excellent communicator (written and verbal formal and informal). Be a technical expert on all aspects of Snowflake Deploy Snowflake following best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own Work hands-on with customers to demonstrate and communicate implementation best practices on Snowflake technology Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments Provide guidance on how to resolve customer-specific technical challenges Ideally, you’ll also have Client management skills What We Look For Minimum 5 years of experience as Architect on Analytics solutions and around 2 years of experience with Snowflake. People with technical experience and enthusiasm to learn new things in this fast-moving environment What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less