About The Role Support the design, development, and implementation of our People analytics and data strategy. Our goal is to increase our analytical capabilities and derive actionable insights into our critical business issues, as well as create a scalable data infrastructure and user friendly reporting environment that can effectively support our growing company. What You’ll Do Continually look for ways to improve regular delivery of standard analysis/reporting through automation, streamlining, and migration to self-serve platforms. Support release and QA activities for data pipelines & dashboards enhancements. This includes the development and execution of testing strategies. Support initiatives to partner with IT to build a well-structured, easy to work with HR data warehouse that contains key business metrics in areas such as Quality of Hire, productivity, and resourcing Support bug/issue resolution processes: root cause analysis, impact analysis and solution design. This includes implementing, testing and deploying solutions Execution of general administration and reporting tasks pertaining to People Analytics and Systems management. Provide analytical support to projects that improve our performance (e.g. Quality of Hire): requirements, discussions, problem solving, analytics, share insights, build solutions, drive change Support broader People Analytics team objectives in delivery of tasks, projects, and enhancements. Create high quality analytics/reports and translate them into value added decisions and actions Support business reporting/data needs across Gartner accurately. What You’ll Need 1-3 yrs Experience in data automation, analytics, problem solving Preferred Bachelor’s Degree or equivalent in: Computer Science, Computer Engineering, Engineering, Management Science, Data Science Interests in pursuing a career in HR analytics, data engineering, data analytics and visualization, business intelligence, or analytical consulting Has the aptitude to use data, analytics, and business knowledge to solve complex business problems. Hands on in visualization tools (PowerBI, etc.), Visier Experience a plus Preferred experience in the following tools: Microsoft Azure, Azure Data Factory, Data Pipelining, Data Transformation, and ETL. What You Will Get Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) Collaborative, team-oriented culture that embraces diversity. Professional development and unlimited growth opportunities. Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work . What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com . Job Requisition ID:100508 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. Show more Show less

Job Purpose The Senior SQL Developer will design, develop, and maintain database systems, including SSIS projects and custom reports, while collaborating with the data team to address SQL issues and ensure efficient data management within a fast-paced environment. Duties & Responsibilities Develop SSIS projects to handle ETL, transmission, encryption, and archiving files received and generated SQL Database Tuning and Performance Design, develop, and maintain database tables, stored procedures, and supporting objects Build and support operational reports for company and clients Work with data team to provide operational support, resolve recurring problems Document database topology, architecture, processes and procedures Develop SQL queries and support ad hoc requests for data Assist with capacity planning and resource expansion through data aggregation and analysis Work with project managers to ensure that reports and metrics identify business needs and opportunities for process improvement Identify inefficiencies in the database platform and provide solutions to the management Use problem-solving skills to assist in resolution of business problems Develop analytical skills to resolve technical problems Identify root causes for problems and propose solutions to prevent recurring. Use, protect and disclose patients’ protected health information (PHI) only in accordance with Health Insurance Portability and Accountability Act (HIPAA) standards Understand and comply with Information Security and HIPAA policies and procedures at all times Limit viewing of PHI to the absolute minimum as necessary to perform assigned duties Qualifications Bachelor’s degree in Computer Science/Information Technology required Minimum five years working as a Database engineer or a related role Minimum of three years extensive SSRS\SSIS\T-SQL experience Minimum of two years’ experience with C# and\or VB.NET Thorough understanding of database structures, theories, principles, & practices Ability to write & troubleshoot SQL code & design stored procedures, functions, tables, views, triggers, indexes, & constraints Extensive knowledge of MS SQL Server 2012 or later with emphasis on query performance Knowledge and know-how to troubleshoot potential issues; experience with best practices around database operations Require ability to work independently with minimal supervision Ability to multi-task with several complex and demanding projects Proficiency in Microsoft Office Suite Strong interpersonal skills, ability to communicate well at all levels of the organization Strong problem solving and creative skills and the ability to exercise sound judgment and make decisions based on accurate and timely analyses High level of integrity and dependability with a strong sense of urgency and results oriented Excellent written and verbal communication skills required Gracious and welcoming personality for customer service interaction Working Conditions Work Set-Up: Fully Remote Work Schedule: US Hours (Night Shift) Physical Demands: While performing the duties of this job, the employee is occasionally required to move around the work area; Sit; perform manual tasks; operate tools and other office equipment such as computer, computer peripherals and telephones; extend arms; kneel; talk and hear. Mental Demands: The employee must be able to follow directions, collaborate with others, and handle stress. Work Environment: The noise level in the work environment is usually minimal. Med-Metrix will not discriminate against any employee or applicant for employment because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, veteran status, other non-merit based factors, or any other characteristic protected by federal, state or local law. Show more Show less

Job Purpose The Senior SQL Developer will design, develop, and maintain database systems, including SSIS projects and custom reports, while collaborating with the data team to address SQL issues and ensure efficient data management within a fast-paced environment. Duties & Responsibilities Develop SSIS projects to handle ETL, transmission, encryption, and archiving files received and generated SQL Database Tuning and Performance Design, develop, and maintain database tables, stored procedures, and supporting objects Build and support operational reports for company and clients Work with data team to provide operational support, resolve recurring problems Document database topology, architecture, processes and procedures Develop SQL queries and support ad hoc requests for data Assist with capacity planning and resource expansion through data aggregation and analysis Work with project managers to ensure that reports and metrics identify business needs and opportunities for process improvement Identify inefficiencies in the database platform and provide solutions to the management Use problem-solving skills to assist in resolution of business problems Develop analytical skills to resolve technical problems Identify root causes for problems and propose solutions to prevent recurring. Use, protect and disclose patients’ protected health information (PHI) only in accordance with Health Insurance Portability and Accountability Act (HIPAA) standards Understand and comply with Information Security and HIPAA policies and procedures at all times Limit viewing of PHI to the absolute minimum as necessary to perform assigned duties Qualifications Bachelor’s degree in Computer Science/Information Technology required Minimum five years working as a Database engineer or a related role Minimum of three years extensive SSRS\SSIS\T-SQL experience Minimum of two years’ experience with C# and\or VB.NET Thorough understanding of database structures, theories, principles, & practices Ability to write & troubleshoot SQL code & design stored procedures, functions, tables, views, triggers, indexes, & constraints Extensive knowledge of MS SQL Server 2012 or later with emphasis on query performance Knowledge and know-how to troubleshoot potential issues; experience with best practices around database operations Require ability to work independently with minimal supervision Ability to multi-task with several complex and demanding projects Proficiency in Microsoft Office Suite Strong interpersonal skills, ability to communicate well at all levels of the organization Strong problem solving and creative skills and the ability to exercise sound judgment and make decisions based on accurate and timely analyses High level of integrity and dependability with a strong sense of urgency and results oriented Excellent written and verbal communication skills required Gracious and welcoming personality for customer service interaction Working Conditions Work Set-Up: Fully Remote Work Schedule: US Hours (Night Shift) Physical Demands: While performing the duties of this job, the employee is occasionally required to move around the work area; Sit; perform manual tasks; operate tools and other office equipment such as computer, computer peripherals and telephones; extend arms; kneel; talk and hear. Mental Demands: The employee must be able to follow directions, collaborate with others, and handle stress. Work Environment: The noise level in the work environment is usually minimal. Med-Metrix will not discriminate against any employee or applicant for employment because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, veteran status, other non-merit based factors, or any other characteristic protected by federal, state or local law. Show more Show less

Description Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete, correct and, comprehensive enough to give Amazon customers a great shopping experience every time. That's where you can help. We believe in “Work Hard. Have Fun. Make History” value by having a focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep, we need you. If you can juggle three tasks and coordinate with multiple people in the heat of an incident, we need you. If you love the benefits of process and methodical improvement, you will love it here. If you want to keep your head down, headphones on, and bash out code to support the team, we have a spot for you too. We challenge one another every day and hold ourselves accountable for our work product as well as our customer's overall success. We all enjoy the interactions with the customers, problem solving, digging into complex issues. We wake up every morning asking ourselves how we can improve the customer's experience, the quality of our product, the quality of our support system, or our individual weaknesses. We are not scared of challenges, nor do we back down or get deterred by tough problems. When problems seem the hardest we are at our best, we work harder to find the root cause and a solution. Work/Life Balance RBS Tech team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and we encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring, detailed and constructive code reviews. We have casual coffee chats with Principal & Senior Engineers from RBS tech where you could have technical conversations around your work, technical challenges, suggestions, ideas and proposals and also seek advice and discuss about things outside work, like, life in general, your family, hobbies etc. We provide trainings to the employees through online learning platforms such as O'reilly and also encourage them to take up AWS/ML certifications. Key job responsibilities We are looking for a sharp, experienced Business Analyst(BA) with a diverse skillset and background. As a BA, you will work directly with our business stakeholders to understand their processes, gather and document requirements, and identify solutions to address their needs. Using data analytics technologies and best practices, you will play a key part in translating business requirements into functional specifications and collaborating with technical teams to build scalable systems. You will be responsible for uncovering root causes, trends, and patterns that impact the business, leveraging dashboards and visualizations to provide insights. You will thrive in an agile, fast-paced environment, tackling unstructured and ambiguous problems on highly visible projects and initiatives. You will work with teams to understand key business problems/process to create BRD and build reports that enable product owners to answer those questions quickly and accurately. You will work with cross-functional leaders to understand their process and data needs and partner with them to build data solutions. About The Team Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Basic Qualifications 4+ years of tax, finance or a related analytical field experience 3+ years of business or financial analysis experience Experience making business recommendations and influencing stakeholders Experience on defining requirements, creating business requirement document, understanding business process and using data and metrics to draw business insights Proficiency in SQL, ETL management, Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualisation tools such as Tableau experience Preferred Qualifications MBA or Master’s degree in Computer Science, Engineering, Statistics, Mathematics or related field Extensive experience in a data engineer or BIE role with a technology company. Experience with statistical modelling / machine learning. Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) High attention to detail and proven ability to manage multiple, competing priorities simultaneously. Ability to work in a fast-paced environment where continuous innovation is desired. History of teamwork and willingness to roll up one’s sleeves to get the job done. 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 - ADCI - BLR 14 SEZ Job ID: A3009344 Show more Show less

Description As Finance Manager for the South Zone in Last Mile (AMZL), you will be responsible for high level of stakeholder management, team leadership, business partnering and ability to balance multiple priorities without compromising timelines or quality of work. Top Skills Strong financial acumen including familiarity with forecasting, budgeting, and variance analysis. Weekly, Monthly Variance Analysis & reporting Designing financial reports in Excel / Cognos/ Access. Excellent oral and written communication skills. Strong analytical and business sense. Ability to simplify financial processes and reports. Ability to learn and adapt in a dynamic environment Roles & Responsibilities Controllership Headcount reporting and management for LM Controllership over purchase requisitions to ensure compliance over established Amazon processes Ensure cash process adherence by tracking COMP closure, COD remittance compliance and SP loss recoveries Tracking short cash recoveries along with zonal channel managers Timely review of Fixed/ad hoc and IHS vans considering new station launches and channel allocation Approval of monthly purchase orders for all types of zonal spends, Reviewing IN LM Manpower cost on monthly basis and approving spends Business Partnering Monthly & Quarterly Business reviews with Zonal managers, operations and support function stakeholders Timely support to business stakeholders by analysing data and sharing actionable insights Partnering with operations to achieve desirable channel mix in order to optimize cost Identifying key input metrics for cost optimization (like productivity improvement of DAs/SSAs, small packages delivered through Vans, Part Time contribution, control over block pricing) and work with Operations to drive improvement. New Business Launches Partnering with stakeholders and providing guidance to support to new business launches Partner with Projects, Real Estate, Supply Chain, Operations and Procurement teams to evaluate capex investment in delivery stations Evaluate ROI and expense against budgets for all capex investments, and work towards getting requisite approvals from leadership. Manage the budget setup of approved projects to ensure accurate cost recognition and review the PRs against budgets while approving Planning and Budgeting Support fixed and variable cost budgeting and forecasting for the annual Operating Plan and long term plans for Last Mile Delivery Stations Review of actual costs vs plan Month end Close Evaluating accruals shared by Business and other support functions Managing monthly financial close process, accounting and reporting Resolving audit queries Publishing Fuel report for the month with insights Zonal wise spends Basic Qualifications 6+ years of tax, finance or a related analytical field experience 6+ years of building financial and operational reports/data sets that inform business decision-making experience MBA Finance or CA Preferred Qualifications Knowledge of SQL/ETL Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results 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 - ATSPL - Maharashtra Job ID: A3009375 Show more Show less

Description Want to join the Earth’s most customer centric company? Do you like to dive deep to understand problems? Are you someone who likes to challenge Status Quo? Do you strive to excel at goals assigned to you? If yes, we have opportunities for you. Global Operations – Artificial Intelligence (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment. Are you somebody that likes to use and analyze big data to drive business decisions? Do you enjoy converting data into insights that will be used to enhance customer decisions worldwide for business leaders? Do you want to be part of the data team which measures the pulse of innovative machine vision-based projects? If your answer is yes, join our team. GO-AI is looking for a motivated individual with strong skills and experience in resource utilization planning, process optimization and execution of scalable and robust operational mechanisms, to join the GO-AI Ops DnA team. In this position you will be responsible for supporting our sites to build solutions for the rapidly expanding GO-AI team. The role requires the ability to work with a variety of key stakeholders across job functions with multiple sites. We are looking for an entrepreneurial and analytical program manager, who is passionate about their work, understands how to manage service levels across multiple skills/programs, and who is willing to move fast and experiment often. Key job responsibilities Ability to maintain and refine straightforward ETL and write secure, stable, testable, maintainable code with minimal defects and automate manual processes. Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders. Building and owning small to mid-size BI solutions with high accuracy and on time delivery using data sets, queries, reports, dashboards, analyses or components of larger solutions to answer straightforward business questions with data incorporating business intelligence best practices, data management fundamentals, and analysis principles. Good understanding of the relevant data lineage: including sources of data; how metrics are aggregated; and how the resulting business intelligence is consumed, interpreted and acted upon by the business where the end product enables effective, data-driven business decisions. Having high responsibility for the code, queries, reports and analyses that are inherited or produced and having analyses and code reviewed periodically. Effective partnering with peer BIEs and others in your team to troubleshoot, research root causes, propose solutions, by either take ownership for their resolution or ensure a clear hand-off to the right owner. About The Team The Global Operations – Artificial Intelligence (GO-AI) team is an initiative, which remotely handles exceptions in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive ability and cannot be processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale. It is operating multiple programs and other new initiatives in partnership with global technology and operations teams. Basic Qualifications 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets 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 - ADCI HYD 16 SEZ Job ID: A3009412 Show more Show less

Description Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc. Extract huge volumes of structured and unstructured data from various sources (Relational /Non-relational/No-SQL database) and message streams and construct complex analyses. Develop and manage ETLs to source data from various systems and create unified data model for analytics and reporting Perform detailed source-system analysis, source-to-target data analysis, and transformation analysis Participate in the full development cycle for ETL: design, implementation, validation, documentation, and maintenance. Basic Qualifications 3+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines 4+ years of SQL experience Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets Preferred Qualifications Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets 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 - ADCI HYD 13 SEZ Job ID: A3009501 Show more Show less

Job Title: ETL Developer Location: Offshore - India Remote We need a ETL engineer for MS SQL Server Integration Service working in 4:30am to 10:30am IST shift timings. Design, develop, and maintain ETL processes using SQL Server Integration Services (SSIS). Create and optimize complex SQL queries, stored procedures, and data transformation logic on Oracle and SQL Server databases. Build scalable and reliable data pipelines using AWS services (e.g., S3, Glue, Lambda, RDS, Redshift). Develop and maintain Linux shell scripts to automate data workflows and perform system-level tasks. Schedule, monitor, and troubleshoot batch jobs using tools like Control-M, AutoSys, or cron. Collaborate with stakeholders to understand data requirements and deliver high-quality integration solutions. Ensure data quality, consistency, and security across systems. Maintain detailed documentation of ETL processes, job flows, and technical specifications. Experience with job scheduling tools such as Control-M and/or AutoSys. Exposure to version control tools (e.g., Git) and CI/CD pipelines. Show more Show less

We need a ETL engineer for MS SQL Server Integration Service working in 4:30am to 10:30am IST shift timings. Design, develop, and maintain ETL processes using SQL Server Integration Services (SSIS). Create and optimize complex SQL queries, stored procedures, and data transformation logic on Oracle and SQL Server databases. Build scalable and reliable data pipelines using AWS services (e.g., S3, Glue, Lambda, RDS, Redshift). Develop and maintain Linux shell scripts to automate data workflows and perform system-level tasks. Schedule, monitor, and troubleshoot batch jobs using tools like Control-M, AutoSys, or cron. Collaborate with stakeholders to understand data requirements and deliver high-quality integration solutions. Ensure data quality, consistency, and security across systems. Maintain detailed documentation of ETL processes, job flows, and technical specifications. Experience with job scheduling tools such as Control-M and/or AutoSys. Exposure to version control tools (e.g., Git) and CI/CD pipelines. Show more Show less

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Analyst, Big Data Analytics & Engineering Overview The Services Portfolio Management team is looking for a Senior Analyst, Big Data Analytics & Engineering to build a new product that will serve actionable insights to all Programs under Mastercard Services Portfolio. The ideal candidate should have a proven ability to analyze large data sets and effectively communicate their findings. They must have prior experience in product development, be highly motivated, innovative, intellectually curious, analytical, and possess an entrepreneurial mindset. Role Build a solution stack for a dashboard including front end in PowerBI/Tableau, data integrations, database models, ETL jobs, etc. Identify opportunities to introduce Automation and AI tools into workflows. Translate product requirements into tangible technical solution specifications and high quality, on time deliverables. Partner with other automation specialists across Services I&E to learn and build best practices for building and running the Portfolio Cockpit tool. Identify gaps and conceptualize new product/platform capabilities as required. Proactively identify automation opportunities All About You Experience with data analysis, with a background in building KPIs and reporting. PowerBI experience preferred or other reporting tools like Tableau, DOMO. Experience with PowerApps or other No/Low-code app development tools is a plus Experience in systems analysis and application design and development. Ability to deliver technology products/services in a high growth environment where priorities change rapidly. Proactive self-starter seeking initiatives for advancement. Understanding of data architecture and some experience in building logical/conceptual data models or creating data mapping documentation. Experience with data validation, quality control, and cleansing processes for new and existing data sources. Strong problem-solving, quantitative, and analytical skills. Advanced SQL skills, ability to write optimized queries for large data sets. Exposure to Python, Scala, Spark, Cloud, and other related technologies is advantageous. In-depth technical knowledge, and ability to learn new technologies. Attention to detail and quality. Team player with effective communication skills. Must be able to interact with management, internal stakeholders, and collect requirements. Must be able to perform in a team, use judgment, and operate under ambiguity. Experience in leveraging generative AI tools to enhance day-to-day tasks is beneficial. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-251036 Show more Show less

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Analyst, Big Data Analytics & Engineering Overview The Services Portfolio Management team is looking for a Senior Analyst, Big Data Analytics & Engineering to build a new product that will serve actionable insights to all Programs under Mastercard Services Portfolio. The ideal candidate should have a proven ability to analyze large data sets and effectively communicate their findings. They must have prior experience in product development, be highly motivated, innovative, intellectually curious, analytical, and possess an entrepreneurial mindset. Role Build a solution stack for a dashboard including front end in PowerBI/Tableau, data integrations, database models, ETL jobs, etc. Identify opportunities to introduce Automation and AI tools into workflows. Translate product requirements into tangible technical solution specifications and high quality, on time deliverables. Partner with other automation specialists across Services I&E to learn and build best practices for building and running the Portfolio Cockpit tool. Identify gaps and conceptualize new product/platform capabilities as required. Proactively identify automation opportunities All About You Experience with data analysis, with a background in building KPIs and reporting. PowerBI experience preferred or other reporting tools like Tableau, DOMO. Experience with PowerApps or other No/Low-code app development tools is a plus Experience in systems analysis and application design and development. Ability to deliver technology products/services in a high growth environment where priorities change rapidly. Proactive self-starter seeking initiatives for advancement. Understanding of data architecture and some experience in building logical/conceptual data models or creating data mapping documentation. Experience with data validation, quality control, and cleansing processes for new and existing data sources. Strong problem-solving, quantitative, and analytical skills. Advanced SQL skills, ability to write optimized queries for large data sets. Exposure to Python, Scala, Spark, Cloud, and other related technologies is advantageous. In-depth technical knowledge, and ability to learn new technologies. Attention to detail and quality. Team player with effective communication skills. Must be able to interact with management, internal stakeholders, and collect requirements. Must be able to perform in a team, use judgment, and operate under ambiguity. Experience in leveraging generative AI tools to enhance day-to-day tasks is beneficial. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-251036 Show more Show less

Summary Position Summary Strategy & Analytics AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Snowflake Consultant The position is suited for individuals who have demonstrated ability to work effectively in a fast paced, high volume, deadline driven environment. Education And Experience Education: B.Tech/M.Tech/MCA/MS/MBA 3-6 years of experience in design and implementation of database migration and integration solutions for any Data warehousing project Required Skills Good knowledge of DBMS concepts, SQL, and PL/SQL. Good knowledge of Snowflake system Hierarchy. Good knowledge of Snowflake schema’s/tables/views/stages etc. Should have strong problem solving and analytical capabilities. Should have hands-on experience in the following: data validation, writing custom SQL code, managing the Snowflake account /users/roles and privileges. Should have experience in integrating any ETL tool like DataStage or Informatica with Snowflake. Should have experience in integrating any BI tool like Tableau, Power BI with Snowflake. Should have experience in fine tuning and troubleshooting performance issues. Should be well versed with understanding of design documents like HLD, LLD etc. Should be well versed with Data migration and integration concepts. Should be self-starter in solution implementation with inputs from design documents Should have participated in different kinds of testing like Unit Testing, System Testing, User Acceptance Testing, etc. Preferred Skills Exposure to Data Modelling concepts is desirable. Exposure to advanced Snowflake features like Data sharing/Cloning/export and import is desirable. Participation in client interactions/meetings is desirable. Participation in code-tuning is desirable. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300082 Show more Show less

Summary Position Summary Strategy & Analytics AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Snowflake Consultant The position is suited for individuals who have demonstrated ability to work effectively in a fast paced, high volume, deadline driven environment. Education And Experience Education: B.Tech/M.Tech/MCA/MS/MBA 3-6 years of experience in design and implementation of database migration and integration solutions for any Data warehousing project Required Skills Good knowledge of DBMS concepts, SQL, and PL/SQL. Good knowledge of Snowflake system Hierarchy. Good knowledge of Snowflake schema’s/tables/views/stages etc. Should have strong problem solving and analytical capabilities. Should have hands-on experience in the following: data validation, writing custom SQL code, managing the Snowflake account /users/roles and privileges. Should have experience in integrating any ETL tool like DataStage or Informatica with Snowflake. Should have experience in integrating any BI tool like Tableau, Power BI with Snowflake. Should have experience in fine tuning and troubleshooting performance issues. Should be well versed with understanding of design documents like HLD, LLD etc. Should be well versed with Data migration and integration concepts. Should be self-starter in solution implementation with inputs from design documents Should have participated in different kinds of testing like Unit Testing, System Testing, User Acceptance Testing, etc. Preferred Skills Exposure to Data Modelling concepts is desirable. Exposure to advanced Snowflake features like Data sharing/Cloning/export and import is desirable. Participation in client interactions/meetings is desirable. Participation in code-tuning is desirable. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300082 Show more Show less

Summary Position Summary Strategy & Analytics AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Snowflake Consultant The position is suited for individuals who have demonstrated ability to work effectively in a fast paced, high volume, deadline driven environment. Education And Experience Education: B.Tech/M.Tech/MCA/MS/MBA 3-6 years of experience in design and implementation of database migration and integration solutions for any Data warehousing project Required Skills Good knowledge of DBMS concepts, SQL, and PL/SQL. Good knowledge of Snowflake system Hierarchy. Good knowledge of Snowflake schema’s/tables/views/stages etc. Should have strong problem solving and analytical capabilities. Should have hands-on experience in the following: data validation, writing custom SQL code, managing the Snowflake account /users/roles and privileges. Should have experience in integrating any ETL tool like DataStage or Informatica with Snowflake. Should have experience in integrating any BI tool like Tableau, Power BI with Snowflake. Should have experience in fine tuning and troubleshooting performance issues. Should be well versed with understanding of design documents like HLD, LLD etc. Should be well versed with Data migration and integration concepts. Should be self-starter in solution implementation with inputs from design documents Should have participated in different kinds of testing like Unit Testing, System Testing, User Acceptance Testing, etc. Preferred Skills Exposure to Data Modelling concepts is desirable. Exposure to advanced Snowflake features like Data sharing/Cloning/export and import is desirable. Participation in client interactions/meetings is desirable. Participation in code-tuning is desirable. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300082 Show more Show less

Position Overview Job Title: Business Management Senior Analyst Corporate Title: Associate Location: Mumbai, India Role Description As a BA you are expected to design and deliver on critical senior management dashboards and analytics using tools such as Excel, SQL etc. These management packs should enable management to make timely decisions for their respective businesses and create a sound foundation for the analytics. You will need to collaborate closely with senior business managers, data engineers and stakeholders from other teams to comprehend requirements and translate them into visually pleasing dashboards and reports. You will play a crucial role in analyzing business data and generating valuable insights for other strategic ad hoc exercises. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Collaborate with business user, managers to gather requirements, and comprehend business needs to design optimal solutions. Perform ad hoc data analysis as per business needs to generate reports, visualizations, and presentations helping strategic decision making. You will be responsible for sourcing information from multiple sources, build a robust data pipeline model. To be able work on large and complex data sets to produce useful insights. Perform audit checks ensuring integrity and accuracy across all spectrums before implementing findings. Ensure timely refresh to provide most updated information in dashboards/reports. Identifying opportunities for process improvements and optimization based on data insights. Communicate project status updates and recommendations. Your Skills And Experience Bachelor’s degree in computer science, IT, Business Administration or related field Minimum of 8 years of experience in visual reporting development, including hands-on development of analytics dashboards and working with complex data sets Excellent Microsoft Office skills including advanced Excel skills. Comprehensive understanding of data visualization best practices Experience with data analysis, modeling, and ETL processes is advantageous. Excellent knowledge of database concepts and extensive hands-on experience working with SQL Strong analytical, quantitative, problem solving and organizational skills. Attention to detail and ability to coordinate multiple tasks, set priorities and meet deadlines. Excellent communication and writing skills. How We’ll Support You Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Show more Show less

Your work days are brighter here. At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here. At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday. About The Team In 2024, Workday launched an Enterprise Data and Analytics team with a mission to transform and optimize the way Workday creates and shares trusted data to drive actionable insights and data led innovation across the enterprise. The team has introduced a new, cloud based technical stack, a Data Product methodology anchored in the principles of Data Ops, an Active Data Governance methodology to manage the quality and discovery of data, and a series of modern analytics tools that facilitate discovery, analysis, visualization, machine learning, and AI. The team’s goal is to lead high value cross-functional data and analytics work and to establish and support the broader Workday analytics community by establishing modern, common ways of working, facilitating training and communication, and creating secure data and analytics brokering capability across business units. About The Role Data Profiling and Analysis: Conduct thorough data profiling to understand data patterns, identify anomalies, and assess data quality. Analyze data to identify root causes of data quality issues and propose solutions. Data Quality Rule Development and Implementation: Develop and implement data quality rules, checks, and validations using SQL and other relevant tools. Design and implement automated data quality monitoring and alerting systems. Data Quality Tooling and Automation: Evaluate and implement data quality tools and technologies. Automate data quality processes to improve efficiency and scalability. Collaboration and Communication: Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and address data quality concerns. Communicate data quality findings and recommendations effectively to technical and non-technical audiences. Document all data quality processes, rules, and findings. Issue Resolution and Remediation: Troubleshoot and resolve data quality issues in a timely and efficient manner. Develop and implement data remediation strategies. About You The person in this role should have a good understanding of the data engineering domain with a proven track record of building and supporting data and analytics engineering solutions using modern data engineering tools and technologies. Basic Qualifications: 3+ years of experience in data quality engineering or a similar role. Strong proficiency in SQL for data querying and manipulation. Experience with data profiling and data quality assessment tools. Familiarity with data warehousing (Snowflake) and ETL/ELT processes. Understanding of data governance principles and best practices. Experience with scripting languages (e.g., Python) for data automation is a plus. Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Experience with version control systems like Git. Preferred Qualifications: Knowledge of data modelling and database design. Experience with cloud based data warehousing tools like Snowflake. Experience with data transformation tools like dbt. Experience with data observability tools like Acceldata. Experience with CI/CD pipelines. Our Approach to Flexible Work With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! Show more Show less

Position Overview Job Title- Operations Engineer, Associate Location- Pune, India Role Description Responsible for the day-to-day maintenance of the application systems in operation, including tasks related to identifying and troubleshooting application issues and issues resolution or escalation. Responsibilities also include root cause analysis, management communication and client relationship management in partnership with Infrastructure Service Support team members. Ensures all production changes are made in accordance with life-cycle methodology and risk guidelines. Responsible for coaching and mentoring less experienced team members and or acting as a subject matter expert. In depth Functional knowledge of the application(s) supported and interdependencies Is an experienced and detail-oriented person capable of integrating product knowledge, research and testing to answer complex questions about product behavior and provide end to end solution to permanently fix the issue. The engineer will assist customer teams and other team members to understand how customers can achieve desired outcomes using the applications it exists today. The output of could range from FAQs and knowledge base articles that describe to customers how to operate the product to achieve selected outcomes to end to end coding solution for the issue reported. The engineer would be liaising with the global stakeholders and vendors to deliver technology solutions as part of yearly book of work The engineer should also be able understand functional requirements / expectations of the various stakeholders and work towards an appropriate plan of action. The role also requires working with the product vendors and lead upgrades as applicable. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Researching, designing, implementing and managing software programs Testing and evaluating new programs Identifying areas for modification in existing programs and subsequently developing these modifications Oversee resolution of technical issues coming from customer teams Fix and deliver the customer issues Follow ITIL processes including incident management, change management, release management, problem management and knowledge management Strong problem solving skills with good communication skills, ability to work under pressure with a high sense of urgency. Proactively identify potential incidents and problems as well as availability issues Manage any IT Security incidents that may occur in the application. Identify risk & issues and contribute in Service Management related audits. Perform environment maintenance and management Deploying software tools, processes and metrics Perform standard recurring activities like data and environment refreshes Be a liaison between the customer-facing teams and the Product and Engineering org for management and resolution of all technical questions and issues Work closely with other developers, business and systems analysts Maintain detailed documentation ranging from Knowledge Base articles to live logging of incidents for post-mortems Ensure delivery timelines and SLA obligations established with with internal and external stakeholders are observed and met; escalate as necessary using judgment and discretion Develop a deep understanding of the application platform across all product lines and clearly articulate support decisions and findings Work closely with internal teams to stay up to date on product features, changes, and issues Your Skills And Experience Must be having total 6+ years of experience and at least 5 years in software development/support engineering Must have advanced knowledge of Java / C# / .Net debugging & scripting (Power shell / Unix / any other) Must have advanced knowledge of MS SQL Sever, SSIS, Tableau and ETL processes Working Knowledge of SDLC & Agile processes Demonstrable experience in leading projects to successful conclusions Strong customer focus with experience of working with cross-functional/ cross-department teams A self-starter with strong organization skills, resolution management, and superior written and verbal communication skills Educational/Qualifications: B.E. / B. Tech. / Master's degree in computer science or equivalent ITIL Certification is good to have How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Show more Show less

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark): In-depth knowledge of Sparks architecture, core APIs, and PySpark for distributed data processing. Big Data Technologies: Familiarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modelling, and data warehousing concepts. Strong proficiency in Python: Expertise in Python programming with a focus on data processing and manipulation. Data Processing Frameworks: Knowledge of data processing libraries such as Pandas, NumPy. SQL Proficiency: Experience writing optimized SQL queries for large-scale data analysis and transformation. Cloud Platforms: Experience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

Implementing and validating predictive models as well as creating and maintaining 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. Working 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 behaviors. Building teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 plus years of experience Experience in Front-End Development specializing in React.js and TypeScript , Javascript, MySql Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed. Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop, and Java. Proficient understanding of code version tools such as GitHub, Gitlab, Bitbucket Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions. Ability to communicate results to technical and non-technical audiences

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise seach 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 behaviors. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Your primary responsibilities include: Develop & maintain data pipelines for batch & stream processing using informatica power centre or cloud ETL/ELT tools. Liaise with business team and technical leads, gather requirements, identify data sources, identify data quality issues, design target data structures, develop pipelines and data processing routines, perform unit testing and support UAT. Work with data scientist and business analytics team to assist in data ingestion and data-related technical issues. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Expertise in Data warehousing/ information Management/ Data Integration/Business Intelligence using ETL tool Informatica PowerCenter Knowledge of Cloud, Power BI, Data migration on cloud skills. Experience in Unix shell scripting and python Experience with relational SQL, Big Data etc Preferred technical and professional experience Knowledge of MS-Azure Cloud Experience in Informatica PowerCenter Experience in Unix shell scripting and python

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 behaviors. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Very good experience on Continuous Flow Graph tool used for point based development Design, develop, and maintain ETL processes using Ab Initio tools. Write, test, and deploy Ab Initio graphs, scripts, and other necessary components. Troubleshoot and resolve data processing issues and improve performance Data Integration: Extract, transform, and load data from various sources into data warehouses, operational data stores, or other target systems. Work with different data formats, including structured, semi-structured, and unstructured data. Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the worlds technology leader. Come to IBM and make a global impact Responsibilities: Responsible to manage end to end feature development and resolve challenges faced in implementing the same Learn new technologies and implement the same in feature development within the time frame provided Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back end software system fixing the issues reported on Content Management back end software system Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Tableau Desktop & Server SQL, Oracle & Hive, Communication Skills, Project Management Multitasking, Collaborative Skills Proven experience in developing and working Tableau driven dashboards, analytics. Ability to query and display large data sets while maximizing the performance of workbook. Ability to interpret technical or dashboard structure and translate complex business requirements to technical Preferred technical and professional experience Tableau Desktop & Server SQL ,Oracle & Hive

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Your primary responsibilities include: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Design, develop, and maintain Ab Initio graphs for extracting, transforming, and loading (ETL) data from diverse sources to various target systems. Implement data quality and validation processes within Ab Initio.. Data Modeling and Analysis:. Collaborate with data architects and business analysts to understand data requirements and translate them into effective ETL processes.. Analyze and model data to ensure optimal ETL design and performance.. Ab Initio Components:. . Utilize Ab Initio components such as Transform Functions, Rollup, Join, Normalize, and others to build scalable and efficient data integration solutions.. Implement best practices for reusable Ab Initio component Preferred technical and professional experience Optimize Ab Initio graphs for performance, ensuring efficient data processing and minimal resource utilization.. Conduct performance tuning and troubleshooting as needed.. Collaboration. Work closely with cross-functional teams, including data analysts, database administrators, and quality assurance, to ensure seamless integration of ETL processes.. Participate in design reviews and provide technical expertise to enhance overall solution quality Documentation

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs Your primary responsibilities include: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Design, develop, and maintain Ab Initio graphs for extracting, transforming, and loading (ETL) data from diverse sources to various target systems. Implement data quality and validation processes within Ab Initio. Data Modelling and Analysis. Collaborate with data architects and business analysts to understand data requirements and translate them into effective ETL processes. Analyse and model data to ensure optimal ETL design and performance. Ab Initio Components. . Utilize Ab Initio components such as Transform Functions, Rollup, Join, Normalize, and others to build scalable and efficient data integration solutions. Implement best practices for reusable Ab Initio components Preferred technical and professional experience Optimize Ab Initio graphs for performance, ensuring efficient data processing and minimal resource utilization. Conduct performance tuning and troubleshooting as needed. Collaboration. . Work closely with cross-functional teams, including data analysts, database administrators, and quality assurance, to ensure seamless integration of ETL processes. Participate in design reviews and provide technical expertise to enhance overall solution quality Documentation

As a senior SAP Consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include: Strategic SAP Solution Focus: Working across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Comprehensive Solution Delivery: Involvement in strategy development and solution implementation, leveraging your knowledge of SAP and working with the latest technologies. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Professional Expertise with SAP Configuration: Hands-on SAP configuration experience in SAP XXX (requisition to specify module/skill required) with a minimum of XX end-to-end implementations from project preparation to go-live as Consultant or Solution Architect. SAP Process knowledge: Experience with XXX processes and workflows (requisition to specify functional area e.g., finance, supply chain, etc.). Experience with SAP S/4HANA: Practical experience with SAP S/4HANA, demonstrating how it is applied in different client environments. SAP Certifications: Holder of SAP certifications. Preferred technical and professional experience Proven experience as an SAP Embedded Analytics & SAP DATASPHERE Consultant with a focus on implementation and optimization. In-depth knowledge of SAP DATASPHERE data modelling, ETL processes, and reporting tools. In-depth knowledge of SAP Embedded Analytics modelling for data extraction from S/4 system. Strong analytical and problem-solving skills. Effective communication and collaboration skills