1768 Querying Jobs - Page 5

Laravel Developer Responsibilities: Discussing project aims with the client and development team. Designing and building web applications using Laravel. Troubleshooting issues in the implementation and debug builds. Working with front-end and back-end developers on projects. Testing functionality for users and the backend. Ensuring that integrations run smoothly. Scaling projects based on client feedback. Recording and reporting on work done in Laravel. Maintaining web-based applications. Presenting work in meetings with clients and management. Laravel Developer Requirements: A degree in programming, computer science, or a related field. Experience working with PHP, performing unit testing, and managing APIs such as REST. A solid understanding of application design using Laravel. Knowledge of database design and querying using SQL. Proficiency in HTML and JavaScript. Practical experience using the MVC architecture. A portfolio of applications and programs to your name. Problem-solving skills and critical mindset. Great communication skills. The desire and ability to learn. Job Type: Full-time Pay: From ₹15,000.00 per month Ability to commute/relocate: Rajkot, Gujarat: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: PHP: 1 year (Preferred) total work: 1 year (Preferred) software development: 1 year (Preferred) License/Certification: PHP (Preferred)

Job Description About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. NA Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. Job Title: Junior Data Analyst 📍 Location: Bengaluru, Karnataka 🕒 Employment Type: Full-Time 💼 Experience Level: 0–2 years Job Description: We are seeking a detail-oriented and analytical Junior Data Analyst to join our team in Pune. As a Junior Data Analyst, you will work closely with cross-functional teams to support business decisions through data collection, analysis, and reporting. This is an excellent opportunity for fresh graduates or early-career professionals with strong analytical skills and a passion for working with data. Key Responsibilities: Collect, clean, and organize data from internal and external sources. Assist in developing dashboards, reports, and visualizations using tools like Excel, Tableau, or Power BI. Perform basic statistical analysis to identify trends and patterns. Work with senior analysts and stakeholders to understand business requirements. Maintain and update databases and reporting systems. Document processes, analyses, and findings for internal use. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or related field. Strong knowledge of MS Excel (pivot tables, vlookups, charts). Familiarity with SQL for data querying and extraction. Basic knowledge of data visualization tools like Tableau , Power BI , or Google Data Studio . Understanding of statistics and data modeling concepts. Strong problem-solving skills and attention to detail. Good communication and presentation skills. Preferred Skills (Good to Have): Experience with Python or R for data manipulation. Exposure to data warehousing concepts or tools (e.g., Snowflake, BigQuery). Internship or project experience in data analysis. Tilak Sonawane https://www.linkedin.com/in/tilak-sonawane-02b535227/ Show more Show less

Experienced Laravel Developer (West Bengal Candidates apply only) Job description · Discussing project aims with the client and development team. · Designing and building web applications using Laravel. · Troubleshooting issues in the implementation and debug builds. · Working with back-end developers on projects. · Testing functionality for users and the backend. · Ensuring that integrations run smoothly. · Scaling projects based on client feedback. · Recording and reporting on work done in Laravel. · Maintaining web-based applications. · Presenting work in meetings with clients and management. Laravel Developer Requirements: · A degree in programming, computer science, or a related field. · Experience working with PHP, performing unit testing, and managing APIs such as REST. · A solid understanding of application design using Laravel. · Knowledge of database design and querying using SQL. · Proficiency in HTML and JavaScript. · A portfolio of applications and programs in your name. · Problem-solving skills and critical mind-sets. · Great communication skills. · The desire and ability to learn. · Problem-Solving Skill, Server Maintenance. Required Skill sets:- · The minimum experience required is 1-2 years · Experience in PHP 7+ and Laravel 6+ · Experience with React/ Angular / Node will be an added advantage. · Hands-on project experience in the Laravel framework. · Good knowledge of jQuery, Ajax, REST API · Proficiency in SQL scripting and MySQL 5. x. An advanced level of SQL (Stored Procedure/Trigger/Functions) will be an added advantage. · Good understanding of object-oriented principles and MVC design patterns. Role: Laravel Developer Industry Type: IT Services Education:-Post Graduate or graduate, BCA, MCA, Btech, Bsc , etc. Salary: Rs 13000 to Rs 18000 per month Email id:-talentacquisition@devantitsolutions.com Contact Number-7605083834 immediate joining Job Type: Full-time Pay: ₹13,000.00 - ₹18,000.00 per month Schedule: Day shift Fixed shift Supplemental Pay: Yearly bonus Experience: Laravel: 2 years (Preferred) Language: Bengali (Preferred) English (Preferred) Work Location: In person Application Deadline: 19/06/2025 Expected Start Date: 20/06/2025

Job Role ‍ Very good knowledge of Log analysing & monitoring tools like Prometheus, Loki, Dynatrace, Grafana & SolarWinds. Understanding of Infrastructure environments Cloud, VMware, storage, networks, databases, etc. ‍ What you'll be responsible for? ‍ Design and development of security policies, standards, and procedures in accordance with organization goals. Responsible for proactive monitoring of alerts (Network, Infra, Applications) and taking corrective actions. Responsible for Incident Management life cycle & Service requests fulfilment Responsible for Incident logging, accurately tracks and documents all incidents. Adherence to the process compliance Adherence to the SLAs defined for the platform, Service uptime. Coordination with cross-group peers both proactively and reactively produces quality documentation and share with the appropriate team members. Responsible to develop SOP documents. Ability to deep dive into identifying the root cause of various service-impacting events and optimizing. Act as a First Point of Contact for incidents, escalations, and business-impacting technology issues To ensure the maximum possible service availability and performance of the platforms Responsible for continuous improvement of the process science. ‍ Qualification and other skills ‍ Experience of 5- 8 years in NOC Experience in Alert/Incident Management and a good understanding of SLAs Troubleshooting, Problem-solving & Strong presentation skills Analytical and communication skills ‍ What you'd have? ‍ Strong knowledge of Linux, Network & database querying Knowledge of asset management Very good knowledge of Log analysing & monitoring tools like Prometheus, Loki, Dynatrace, Grafana & SolarWinds Understanding of Infrastructure environments Cloud, VMware, storage, networks, databases, etc. Strong Linux, Networking, Log analysing, and database querying skills. Must have experience with monitoring tools like Prometheus, Loki, Grafana, and Dynatrace & building monitoring dashboards. Experience in alerts mitigation & optimization - Knowledge of the ITIL framework Hands-on exp with observability tools will be an added advantage. Must have expertise in maintaining/updating asset management. Certifications: ITIL foundation, AZ-900, Shell Scripting, Python, Hardware & networking. ‍ Why join us? ‍ Impactful Work: Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry. Tremendous Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for professional development. Innovative Environment: Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated. Tanla is an equal opportunity employer. ‍ We champion diversity and are committed to creating an inclusive environment for all employees ‍ https://www.tanla.com ‍ Show more Show less

📊 Business Analytics Intern (Remote) Company: Coreline Solutions Type: Internship (3 to 6 Months) Mode: 100% Remote Stipend: Unpaid 🌐 About Us Coreline Solutions is a modern digital consulting and tech company focused on delivering smart, data-driven solutions. We specialize in software development, data science, business intelligence, and digital transformation. Our goal is to empower businesses through strategic use of data and technology. We're now offering a Business Analytics Internship for individuals eager to explore how data influences decisions in real-world business environments. 🎯 About the Internship As a Business Analytics Intern, you’ll work closely with data, operations, and strategy teams to analyze trends, identify business opportunities, and support data-driven decision-making. This is a fully remote internship designed to provide you with real exposure to business analytics tools, reporting methods, and data storytelling. 📌 Key Responsibilities Analyze and interpret business data using tools such as Excel, SQL, or Python Create dashboards and visualizations using Power BI or Tableau Assist in preparing weekly/monthly reports and business summaries Support teams in identifying KPIs and tracking performance metrics Conduct competitor and market research to guide strategy Help translate data into clear insights and action plans ✅ What We’re Looking For Currently pursuing or recently completed a degree in Business Analytics, Data Science, Statistics, Economics, or a related field Strong analytical skills and knowledge of Excel (formulas, pivot tables, charts) Familiarity with SQL or Python for basic data querying and analysis Ability to create and interpret data visualizations Attention to detail and curiosity to ask “why” behind the numbers Good written and verbal communication skills 💡 Bonus Skills (Preferred but Not Required) Experience with BI tools like Power BI, Tableau, or Google Data Studio Exposure to CRM or business platforms (Salesforce, Zoho, etc.) Understanding of A/B testing, forecasting, or financial modeling 🎁 What You’ll Gain Hands-on experience with real business data and reporting tools Mentorship from business analysts and strategy consultants Internship Certificate upon successful completion Letter of Recommendation for top performers Potential consideration for full-time placement after internship 🤝 Our Commitment Coreline Solutions is proud to be an equal opportunity organization that values diversity, inclusion, and innovation. We treat all personal data responsibly in accordance with LinkedIn’s Privacy Policy and Professional Community Policies. 📬 How to Apply Send your updated resume and a short cover message to: 📩 hr@corelinesolutions.site Subject Line: “Application – Business Analytics Intern – [Your Full Name]” 📌 Tip: Highlight any academic or freelance projects that show your data and business analysis skills. Show more Show less

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Job Summary Fiche de poste : This position provides leadership in the design, development and implementation of complex algorithms and advanced analytics models and solutions to yield predictive and prescriptive insights from large volume of structured and unstructured data. This position uses knowledge and expertise in analytical approaches and advanced computing methods to evaluate, estimate and run models that drive insights and empowers confidence in business decisions. This position operates and leads within a highly collaborative environment of fellow data scientists, data engineers, domain business and data leaders during every phase of the advanced analytics activities and tasks. This position guides and influences department and project teams in identifying and managing data and model management challenges and risks by facilitating collaboration with various stakeholders. This position may supervise people within the department. Responsibilities Engages and collaborates with business leaders across the organization to help assess business needs and define research questions. Develops hypotheses, approaches (i.e., analytic plans and model development process), models, and solutions to solve problems and increase profitability. Builds models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques. Examines the business reality behind large sets of data and develops the appropriate method and direction to derive meaningful insights and deliver data solutions to business problems. Creates innovative procedures by adapting emerging tools and technologies to new modeling techniques and procedures. Improves upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters using Cloud-AI technologies. Communicates with business customers and the leadership team, who have various levels of technical knowledge, and educates them about our systems, insights, and recommendations that can inform business strategies. Develops strategy to monitor model and system performance/integrity and supports the analysis and integration of tools and methods to provide desired optimal results from models. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Acts as a project manager (as needed) of an analytics project and/or teams, responsible for the planning, procurement, quality control and execution of all components and resources needed to support the execution of data and analytics project Serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Qualifications Requirements: Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Extensive experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Strong proficiency in data management pipelines involving data extraction, analysis and transformation using either data querying languages (SQL,NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS). Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (Supervised, Unsupervised, Deep Learning, NLP, Neural Networks, Graphs) Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams as well business audiences. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Proven ability to convey rigorous technical concepts and considerations to non-experts, as well as strong analytical skills, attention to detail. Master’s degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary This position provides leadership in the design, development and implementation of complex algorithms and advanced analytics models and solutions to yield predictive and prescriptive insights from large volume of structured and unstructured data. This position uses knowledge and expertise in analytical approaches and advanced computing methods to evaluate, estimate and run models that drive insights and empowers confidence in business decisions. This position operates and leads within a highly collaborative environment of fellow data scientists, data engineers, domain business and data leaders during every phase of the advanced analytics activities and tasks. This position guides and influences department and project teams in identifying and managing data and model management challenges and risks by facilitating collaboration with various stakeholders. This position may supervise people within the department. Responsibilities Engages and collaborates with business leaders across the organization to help assess business needs and define research questions. Develops hypotheses, approaches (i.e., analytic plans and model development process), models, and solutions to solve problems and increase profitability. Builds models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques. Examines the business reality behind large sets of data and develops the appropriate method and direction to derive meaningful insights and deliver data solutions to business problems. Creates innovative procedures by adapting emerging tools and technologies to new modeling techniques and procedures. Improves upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters using Cloud-AI technologies. Communicates with business customers and the leadership team, who have various levels of technical knowledge, and educates them about our systems, insights, and recommendations that can inform business strategies. Develops strategy to monitor model and system performance/integrity and supports the analysis and integration of tools and methods to provide desired optimal results from models. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Acts as a project manager (as needed) of an analytics project and/or teams, responsible for the planning, procurement, quality control and execution of all components and resources needed to support the execution of data and analytics project Serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Qualifications Requirements: Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Extensive experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Strong proficiency in data management pipelines involving data extraction, analysis and transformation using either data querying languages (SQL,NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS). Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (Supervised, Unsupervised, Deep Learning, NLP, Neural Networks, Graphs) Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams as well business audiences. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Proven ability to convey rigorous technical concepts and considerations to non-experts, as well as strong analytical skills, attention to detail. Master’s degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary This position provides leadership in the design, development and implementation of complex algorithms and advanced analytics models and solutions to yield predictive and prescriptive insights from large volume of structured and unstructured data. This position uses knowledge and expertise in analytical approaches and advanced computing methods to evaluate, estimate and run models that drive insights and empowers confidence in business decisions. This position operates and leads within a highly collaborative environment of fellow data scientists, data engineers, domain business and data leaders during every phase of the advanced analytics activities and tasks. This position guides and influences department and project teams in identifying and managing data and model management challenges and risks by facilitating collaboration with various stakeholders. This position may supervise people within the department. Responsibilities Engages and collaborates with business leaders across the organization to help assess business needs and define research questions. Develops hypotheses, approaches (i.e., analytic plans and model development process), models, and solutions to solve problems and increase profitability. Builds models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques. Examines the business reality behind large sets of data and develops the appropriate method and direction to derive meaningful insights and deliver data solutions to business problems. Creates innovative procedures by adapting emerging tools and technologies to new modeling techniques and procedures. Improves upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters using Cloud-AI technologies. Communicates with business customers and the leadership team, who have various levels of technical knowledge, and educates them about our systems, insights, and recommendations that can inform business strategies. Develops strategy to monitor model and system performance/integrity and supports the analysis and integration of tools and methods to provide desired optimal results from models. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Acts as a project manager (as needed) of an analytics project and/or teams, responsible for the planning, procurement, quality control and execution of all components and resources needed to support the execution of data and analytics project Serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Qualifications Requirements: Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Extensive experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Strong proficiency in data management pipelines involving data extraction, analysis and transformation using either data querying languages (SQL,NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS). Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (Supervised, Unsupervised, Deep Learning, NLP, Neural Networks, Graphs) Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams as well business audiences. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Proven ability to convey rigorous technical concepts and considerations to non-experts, as well as strong analytical skills, attention to detail. Master’s degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Fiche De Poste Job Title: Senior PowerBI Developer Experience Range: 8-12 Years Location: Chennai, Hybrid Employment Type: Full-Time About UPS UPS is a global leader in logistics, offering a broad range of solutions that include transportation, distribution, supply chain management, and e-commerce. Founded in 1907, UPS operates in over 220 countries and territories, delivering packages and providing specialized services worldwide. Our mission is to enable commerce by connecting people, places, and businesses, with a strong focus on sustainability and innovation. About UPS Supply Chain Symphony™ The UPS Supply Chain Symphony™ platform is a cloud-based solution that seamlessly integrates key supply chain components, including shipping, warehousing, and inventory management, into a unified platform. This solution empowers businesses by offering enhanced visibility, advanced analytics, and customizable dashboards to streamline global supply chain operations and decision-making. Key Responsibilities Develop and maintain interactive dashboards and reports using Power BI and Domo. Lead the design of intuitive, user-centric dashboard UI/UX to enhance data storytelling and user engagement. Write efficient and scalable SQL queries in Databricks and Azure SQL to support analytics needs. Collaborate with business stakeholders to understand requirements and deliver data-driven solutions. Optimize data models and ETL pipelines to ensure data accuracy and performance. Required Skills Proficiency in Power BI and Domo for data visualization and dashboard development. Strong expertise in dashboard UI/UX design within an analytics context. Strong experience with SQL for querying large datasets. Solid understanding of data modeling, ETL processes, and performance tuning. Excellent communication and problem-solving skills. Qualifications Bachelor’s degree in Computer Science, Information Technology, or related field. Proven experience in micro frontend and microservices architecture. Strong understanding of cloud-native application design, especially on Azure. Excellent problem-solving skills and the ability to lead technical discussions. Soft Skills Strong problem-solving abilities and attention to detail. Excellent communication skills, both verbal and written. Effective time management and organizational capabilities. Ability to work independently and within a collaborative team environment. Strong interpersonal skills to engage with cross-functional teams. About The Team You will be part of a dynamic and collaborative team of passionate developers, architects, and product owners dedicated to building high-performance web applications. Our team values innovation, continuous learning, and agile best practices. We work closely using the SAFe Agile framework and foster an inclusive environment where everyone's ideas are valued. Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Title: Senior PowerBI Developer Experience Range: 8-12 Years Location: Chennai, Hybrid Employment Type: Full-Time About UPS UPS is a global leader in logistics, offering a broad range of solutions that include transportation, distribution, supply chain management, and e-commerce. Founded in 1907, UPS operates in over 220 countries and territories, delivering packages and providing specialized services worldwide. Our mission is to enable commerce by connecting people, places, and businesses, with a strong focus on sustainability and innovation. About UPS Supply Chain Symphony™ The UPS Supply Chain Symphony™ platform is a cloud-based solution that seamlessly integrates key supply chain components, including shipping, warehousing, and inventory management, into a unified platform. This solution empowers businesses by offering enhanced visibility, advanced analytics, and customizable dashboards to streamline global supply chain operations and decision-making. Key Responsibilities Develop and maintain interactive dashboards and reports using Power BI and Domo. Lead the design of intuitive, user-centric dashboard UI/UX to enhance data storytelling and user engagement. Write efficient and scalable SQL queries in Databricks and Azure SQL to support analytics needs. Collaborate with business stakeholders to understand requirements and deliver data-driven solutions. Optimize data models and ETL pipelines to ensure data accuracy and performance. Required Skills Proficiency in Power BI and Domo for data visualization and dashboard development. Strong expertise in dashboard UI/UX design within an analytics context. Strong experience with SQL for querying large datasets. Solid understanding of data modeling, ETL processes, and performance tuning. Excellent communication and problem-solving skills. Qualifications Bachelor’s degree in Computer Science, Information Technology, or related field. Proven experience in micro frontend and microservices architecture. Strong understanding of cloud-native application design, especially on Azure. Excellent problem-solving skills and the ability to lead technical discussions. Soft Skills Strong problem-solving abilities and attention to detail. Excellent communication skills, both verbal and written. Effective time management and organizational capabilities. Ability to work independently and within a collaborative team environment. Strong interpersonal skills to engage with cross-functional teams. About The Team You will be part of a dynamic and collaborative team of passionate developers, architects, and product owners dedicated to building high-performance web applications. Our team values innovation, continuous learning, and agile best practices. We work closely using the SAFe Agile framework and foster an inclusive environment where everyone's ideas are valued. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Description Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential. Key job responsibilities Own generating actionable insights through the development of metrics and dashboards. Analyze relevant business information, and uncover trends and correlations to develop insights that can materially improve our product and strategy decisions. Provide insights to our Canada business and Product Management teams as new initiatives are being identified, prioritized, implemented and deployed. Develop clear communications for recommended actions. Establish new, scalable, efficient, automated processes for tracking and reporting on progress of initiatives. About The Team We are central Amazon Business Marketing Analytics (ABMA) team for WW AB Marketing team. Our vision is to simplify and accelerate data driven decision making for AB Marketing by providing cost effective, easy & timely access to high quality data. Our core responsibilities towards AB marketing includes a) providing systems(infrastructure) & workflows that allow ingestion, storage, processing and querying of data b) building ready-to-use datasets for easy and faster access to the data c) automating standard business analysis / reporting/ dashboarding d) empowering business with self-service tools for deep dives & insights seeking. The value construct of these capabilities is to enhance the speed of business decision-making by reducing the effort & time to access actionable data. Basic Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis 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 - A85 Job ID: A2930198 Show more Show less

About Us Astra is a cybersecurity SaaS company that makes otherwise chaotic pentests a breeze with its one of a kind AI-led offensive Pentest Platform. Astra's continuous vulnerability scanner emulates hacker behavior to scan applications for 13,000+ security tests. CTOs and CISOs love Astra because it helps them to achieve continuous security at scale, fix vulnerabilities in record time, and seamlessly transition from DevOps to DevSecOps with Astra's powerful CI/CD integrations. Astra is loved by 800+ companies across 70+ countries. In 2024 Astra uncovered 2.5 million+ vulnerabilities for its customers, saving customers $110M+ in potential losses due to security vulnerabilities. We've been awarded by the President of France Mr. François Hollande at the La French Tech program and Prime Minister of India Shri Narendra Modi at the Global Conference on Cyber Security. Loom, MamaEarth, Muthoot Finance, Canara Robeco, Dream 11, OLX Autos etc. are a few of Astra’s customers. Job Description This is a remote position. Role Overview As Astra Security’s first AI Engineer, you will play a pivotal role in introducing and embedding AI into our security products. You will be responsible for designing, developing, and deploying AI applications leveraging both open-source models (Llama, Mistral, DeepSeek etc) and proprietary services (OpenAI, Anthropic). Your work will directly impact how AI is used to enhance threat detection, automate security processes, and improve intelligence gathering. This is an opportunity to not only build future AI models but also define Astra Security’s AI strategy, laying the foundation for future AI-driven security solutions. Key Responsibilities Lead the AI integration efforts within Astra Security, shaping the company’s AI roadmap Develop and Optimize Retrieval-Augmented Generation (RAG) Pipelines with multi-tenant capabilities Build and enhance RAG applications using LangChain, LangGraph, and vector databases (e.g. Milvus, Pinecone, pgvector). Implement efficient document chunking, retrieval, and ranking strategies. Optimize LLM interactions using embeddings, prompt engineering, and memory mechanisms. Work with Graph databases (Neo4j or similar) for structuring and querying knowledge bases esign multi-agent workflows using orchestration platforms like LangGraph or other emerging agent frameworks for AI-driven decision-making and reasoning. Integrate vector search, APIs and external knowledge sources into agent workflows. Exposure to end-to-end AI ecosystem like Huggingface to accelerate AI development (while initial work won’t involve extensive model training, the candidate should be ready for fine-tuning, domain adaptation, and LLM deployment when needed) Design and develop AI applications using LLMs (Llama, Mistral, OpenAI, Anthropic, etc.) Build APIs and microservices to integrate AI models into backend architectures.. Collaborate with the product and engineering teams to integrate AI into Astra Security’s core offerings Stay up to date with the latest advancements in AI and security, ensuring Astra remains at the cutting edge What We Are Looking For Exceptional Python skills for AI/ML development Hands-on experience with LLMs and AI frameworks (LangChain, Transformers, RAG-based applications) Strong understanding of retrieval-augmented generation (RAG) and knowledge graphs Experience with AI orchestration tools (LangChain, LangGraph) Familiarity with graph databases (Neo4j or similar) Experience in Ollama for efficient AI model deployment for production workloads is a plus Experience deploying AI models using Docker Hands-on experience with Ollama setup and loading DeepSeek/Llama. Strong problem-solving skills and a self-starter mindset—you will be building AI at Astra from the ground up. Nice To Have Experience with AI deployment frameworks (e.g., BentoML, FastAPI, Flask, AWS) Background in cybersecurity or security-focused AI applications What We Offer Software Engineering Mindset: This role requires a strong software engineering mindset to build AI solutions from 0 to 1 and scale them based on business needs. The candidate should be comfortable designing, developing, testing, and deploying production-ready AI systems while ensuring maintainability, performance, and scalability. Why Join Astra Security? Own and drive the AI strategy at Astra Security from day one Fully remote, agile working environment. Good engineering culture with full ownership in design, development, release lifecycle. A wholesome opportunity where you get to build things from scratch, improve and ship code to production in hours, not weeks. Holistic understanding of SaaS and enterprise security business. Annual trips to beaches or mountains (last one was at Wayanad). Open and supportive culture. Health insurance & other benefits for you and your spouse. Maternity benefits included. Show more Show less

Job Description You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Chief Technology office , you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job Responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, equity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Proficient in coding in Java, Spring Boot, ORM frameworks, Micro services Hands on design in React, Material UI, Java Script, RDBMS Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Exposure to cloud technologies Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) ABOUT US Show more Show less

Job Description As a Software Engineer II at JPMorgan Chase within the Technology Division, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. Job Responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, equity, inclusion, and respect Required Qualifications, Capabilities, And Skills Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Demonstrable ability to code in one or more languages Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Exposure to cloud technologies ABOUT US Show more Show less

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the AWM (Global Liquidity Platform), you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required Qualifications, Capabilities, And Skills Candidate should be well versed in Java and Spring. Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Exposure to cloud technologies ABOUT US Show more Show less

6-8 years of experience with at least 4 years of experience in test automation. Prior automation experience is a must. Familiarity with Python for test automation and scripting. Minimum 6 years of experience in QA/testing, with a focus on payments, ETL and data engineering projects. Excellent communication skills to work effectively with cross-functional teams. Good To Have 6-8 years of experience in Payments/SWIFT/ISO/ ETL testing. Strong SQL skills for querying, comparing, and validating large datasets. Experience in testing ETL pipelines and data transformations- Prior experience testing ETL migrations from legacy systems like SAS DI to modern platforms is a plus. Hands-on experience with cloud platforms, particularly AWS services like S3, EMR, and PostgreSQL on AWS. Knowledge of SAS DI is highly desirable for understanding legacy pipelines. Show more Show less

The Role The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team. Responsibilities Developing and supporting scalable, extensible, and highly available data solutions Deliver on critical business priorities while ensuring alignment with the wider architectural vision Identify and help address potential risks in the data supply chain Follow and contribute to technical standards Design and develop analytical data models Required Qualifications & Work Experience First Class Degree in Engineering/Technology (4-year graduate course) 9 to 11 years’ experience implementing data-intensive solutions using agile methodologies Experience of relational databases and using SQL for data querying, transformation and manipulation Experience of modelling data for analytical consumers Ability to automate and streamline the build, test and deployment of data pipelines Experience in cloud native technologies and patterns A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training Excellent communication and problem-solving skills An inclination to mentor; an ability to lead and deliver medium sized components independently Technical Skills (Must Have) ETL: Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica Big Data : Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing Data Warehousing & Database Management : Expertise around Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design Data Modeling & Design : Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Languages : Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala DevOps : Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management Data Governance: A strong grasp of principles and practice including data quality, security, privacy and compliance Technical Skills (Valuable) Ab Initio : Experience developing Co>Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows Cloud : Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs Data Quality & Controls : Exposure to data validation, cleansing, enrichment and data controls Containerization : Fair understanding of containerization platforms like Docker, Kubernetes File Formats : Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta Others : Experience of using a Job scheduler e.g., Autosys. Exposure to Business Intelligence tools e.g., Tableau, Power BI Certification on any one or more of the above topics would be an advantage. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Software Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

The Role The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team. Responsibilities Developing and supporting scalable, extensible, and highly available data solutions Deliver on critical business priorities while ensuring alignment with the wider architectural vision Identify and help address potential risks in the data supply chain Follow and contribute to technical standards Design and develop analytical data models Required Qualifications & Work Experience First Class Degree in Engineering/Technology (4-year graduate course) 9 to 11 years’ experience implementing data-intensive solutions using agile methodologies Experience of relational databases and using SQL for data querying, transformation and manipulation Experience of modelling data for analytical consumers Ability to automate and streamline the build, test and deployment of data pipelines Experience in cloud native technologies and patterns A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training Excellent communication and problem-solving skills An inclination to mentor; an ability to lead and deliver medium sized components independently Technical Skills (Must Have) ETL: Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica Big Data : Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing Data Warehousing & Database Management : Expertise around Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design Data Modeling & Design : Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Languages : Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala DevOps : Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management Data Governance: A strong grasp of principles and practice including data quality, security, privacy and compliance Technical Skills (Valuable) Ab Initio : Experience developing Co>Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows Cloud : Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs Data Quality & Controls : Exposure to data validation, cleansing, enrichment and data controls Containerization : Fair understanding of containerization platforms like Docker, Kubernetes File Formats : Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta Others : Experience of using a Job scheduler e.g., Autosys. Exposure to Business Intelligence tools e.g., Tableau, Power BI Certification on any one or more of the above topics would be an advantage. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Software Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Company Overview Viraaj HR Solutions is dedicated to connecting top talent with forward-thinking companies. Our mission is to provide exceptional talent acquisition services while fostering a culture of trust, integrity, and collaboration. We prioritize our clients' needs and work tirelessly to ensure the ideal candidate-job match. Join us in our commitment to excellence and become part of a dynamic team focused on driving success for individuals and organizations alike. Role Responsibilities Design, develop, and implement data pipelines using Azure Data Factory. Create and maintain data models for structured and unstructured data. Extract, transform, and load (ETL) data from various sources into data warehouses. Develop analytical solutions and dashboards using Azure Databricks. Perform data integration and migration tasks with Azure tools. Ensure optimal performance and scalability of data solutions. Collaborate with cross-functional teams to understand data requirements. Utilize SQL Server for database management and data queries. Implement data quality checks and ensure data integrity. Work on data governance and compliance initiatives. Monitor and troubleshoot data pipeline issues to ensure reliability. Document data processes and architecture for future reference. Stay current with industry trends and Azure advancements. Train and mentor junior data engineers and team members. Participate in design reviews and provide feedback for process improvements. Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. 3+ years of experience in a data engineering role. Strong expertise in Azure Data Factory and Azure Databricks. Proficient in SQL for data manipulation and querying. Experience with data warehousing concepts and practices. Familiarity with ETL tools and processes. Knowledge of Python or other programming languages for data processing. Ability to design scalable cloud architecture. Experience with data modeling and database design. Effective communication and collaboration skills. Strong analytical and problem-solving abilities. Familiarity with performance tuning and optimization techniques. Knowledge of data visualization tools is a plus. Experience with Agile methodologies. Ability to work independently and manage multiple tasks. Willingness to learn and adapt to new technologies. Skills: etl,azure databricks,sql server,azure,data governance,azure data factory,python,data warehousing,data engineer,data integration,performance tuning,python scripting,sql,data modeling,data migration,data visualization,analytical solutions,pyspark,agile methodologies,data quality checks Show more Show less

Company Overview Viraaj HR Solutions is dedicated to connecting top talent with forward-thinking companies. Our mission is to provide exceptional talent acquisition services while fostering a culture of trust, integrity, and collaboration. We prioritize our clients' needs and work tirelessly to ensure the ideal candidate-job match. Join us in our commitment to excellence and become part of a dynamic team focused on driving success for individuals and organizations alike. Role Responsibilities Design, develop, and implement data pipelines using Azure Data Factory. Create and maintain data models for structured and unstructured data. Extract, transform, and load (ETL) data from various sources into data warehouses. Develop analytical solutions and dashboards using Azure Databricks. Perform data integration and migration tasks with Azure tools. Ensure optimal performance and scalability of data solutions. Collaborate with cross-functional teams to understand data requirements. Utilize SQL Server for database management and data queries. Implement data quality checks and ensure data integrity. Work on data governance and compliance initiatives. Monitor and troubleshoot data pipeline issues to ensure reliability. Document data processes and architecture for future reference. Stay current with industry trends and Azure advancements. Train and mentor junior data engineers and team members. Participate in design reviews and provide feedback for process improvements. Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. 3+ years of experience in a data engineering role. Strong expertise in Azure Data Factory and Azure Databricks. Proficient in SQL for data manipulation and querying. Experience with data warehousing concepts and practices. Familiarity with ETL tools and processes. Knowledge of Python or other programming languages for data processing. Ability to design scalable cloud architecture. Experience with data modeling and database design. Effective communication and collaboration skills. Strong analytical and problem-solving abilities. Familiarity with performance tuning and optimization techniques. Knowledge of data visualization tools is a plus. Experience with Agile methodologies. Ability to work independently and manage multiple tasks. Willingness to learn and adapt to new technologies. Skills: etl,azure databricks,sql server,azure,data governance,azure data factory,python,data warehousing,data engineer,data integration,performance tuning,python scripting,sql,data modeling,data migration,data visualization,analytical solutions,pyspark,agile methodologies,data quality checks Show more Show less

Gurgaon/Bangalore, India AXA XL recognizes data and information as critical business assets, both in terms of managing risk and enabling new business opportunities. This data should not only be high quality, but also actionable - enabling AXA XL’s executive leadership team to maximize benefits and facilitate sustained industrious advantage. Our Chief Data Office also known as our Innovation, Data Intelligence & Analytics team (IDA) is focused on driving innovation through optimizing how we leverage data to drive strategy and create a new business model - disrupting the insurance market. As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and data-driven insights, we are seeking an Data Engineer. The role will support the team’s efforts towards creating, enhancing, and stabilizing the Enterprise data lake through the development of the data pipelines. This role requires a person who is a team player and can work well with team members from other disciplines to deliver data in an efficient and strategic manner . What You’ll Be DOING What will your essential responsibilities include? Act as a data engineering expert and partner to Global Technology and data consumers in controlling complexity and cost of the data platform, whilst enabling performance, governance, and maintainability of the estate. Understand current and future data consumption patterns, architecture (granular level), partner with Architects to ensure optimal design of data layers. Apply best practices in Data architecture. For example, balance between materialization and virtualization, optimal level of de-normalization, caching and partitioning strategies, choice of storage and querying technology, performance tuning. Leading and hands-on execution of research into new technologies. Formulating frameworks for assessment of new technology vs business benefit, implications for data consumers. Act as a best practice expert, blueprint creator of ways of working such as testing, logging, CI/CD, observability, release, enabling rapid growth in data inventory and utilization of Data Science Platform. Design prototypes and work in a fast-paced iterative solution delivery model. Design, Develop and maintain ETL pipelines using Pyspark in Azure Databricks using delta tables. Use Harness for deployment pipeline. Monitor Performance of ETL Jobs, resolve any issue that arose and improve the performance metrics as needed. Diagnose system performance issue related to data processing and implement solution to address them. Collaborate with other teams to ensure successful integration of data pipelines into larger system architecture requirement. Maintain integrity and quality across all pipelines and environments. Understand and follow secure coding practice to make sure code is not vulnerable. You will report to Technical Lead. What You Will BRING We’re looking for someone who has these abilities and skills: Required Skills And Abilities Effective Communication skills. Bachelor’s degree in computer science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience. Relevant years of extensive work experience in various data engineering & modeling techniques (relational, data warehouse, semi-structured, etc.), application development, advanced data querying skills. Relevant years of programming experience using Databricks. Relevant years of experience using Microsoft Azure suite of products (ADF, synapse and ADLS). Solid knowledge on network and firewall concepts. Solid experience writing, optimizing and analyzing SQL. Relevant years of experience with Python. Ability to break complex data requirements and architect solutions into achievable targets. Robust familiarity with Software Development Life Cycle (SDLC) processes and workflow, especially Agile. Experience using Harness. Technical lead responsible for both individual and team deliveries. Desired Skills And Abilities Worked in big data migration projects. Worked on performance tuning both at database and big data platforms. Ability to interpret complex data requirements and architect solutions. Distinctive problem-solving and analytical skills combined with robust business acumen. Excellent basics on parquet files and delta files. Effective Knowledge of Azure cloud computing platform. Familiarity with Reporting software - Power BI is a plus. Familiarity with DBT is a plus. Passion for data and experience working within a data-driven organization. You care about what you do, and what we do. Who WE are AXA XL, the P&C and specialty risk division of AXA, is known for solving complex risks. For mid-sized companies, multinationals and even some inspirational individuals we don’t just provide re/insurance, we reinvent it. How? By combining a comprehensive and efficient capital platform, data-driven insights, leading technology, and the best talent in an agile and inclusive workspace, empowered to deliver top client service across all our lines of business − property, casualty, professional, financial lines and specialty. With an innovative and flexible approach to risk solutions, we partner with those who move the world forward. Learn more at axaxl.com What we OFFER Inclusion AXA XL is committed to equal employment opportunity and will consider applicants regardless of gender, sexual orientation, age, ethnicity and origins, marital status, religion, disability, or any other protected characteristic. At AXA XL, we know that an inclusive culture and enables business growth and is critical to our success. That’s why we have made a strategic commitment to attract, develop, advance and retain the most inclusive workforce possible, and create a culture where everyone can bring their full selves to work and reach their highest potential. It’s about helping one another — and our business — to move forward and succeed. Five Business Resource Groups focused on gender, LGBTQ+, ethnicity and origins, disability and inclusion with 20 Chapters around the globe. Robust support for Flexible Working Arrangements Enhanced family-friendly leave benefits Named to the Diversity Best Practices Index Signatory to the UK Women in Finance Charter Learn more at axaxl.com/about-us/inclusion-and-diversity. AXA XL is an Equal Opportunity Employer. Total Rewards AXA XL’s Reward program is designed to take care of what matters most to you, covering the full picture of your health, wellbeing, lifestyle and financial security. It provides competitive compensation and personalized, inclusive benefits that evolve as you do. We’re committed to rewarding your contribution for the long term, so you can be your best self today and look forward to the future with confidence. Sustainability At AXA XL, Sustainability is integral to our business strategy. In an ever-changing world, AXA XL protects what matters most for our clients and communities. We know that sustainability is at the root of a more resilient future. Our 2023-26 Sustainability strategy, called “Roots of resilience”, focuses on protecting natural ecosystems, addressing climate change, and embedding sustainable practices across our operations. Our Pillars Valuing nature: How we impact nature affects how nature impacts us. Resilient ecosystems - the foundation of a sustainable planet and society - are essential to our future. We’re committed to protecting and restoring nature - from mangrove forests to the bees in our backyard - by increasing biodiversity awareness and inspiring clients and colleagues to put nature at the heart of their plans. Addressing climate change: The effects of a changing climate are far-reaching and significant. Unpredictable weather, increasing temperatures, and rising sea levels cause both social inequalities and environmental disruption. We're building a net zero strategy, developing insurance products and services, and mobilizing to advance thought leadership and investment in societal-led solutions. Integrating ESG: All companies have a role to play in building a more resilient future. Incorporating ESG considerations into our internal processes and practices builds resilience from the roots of our business. We’re training our colleagues, engaging our external partners, and evolving our sustainability governance and reporting. AXA Hearts in Action: We have established volunteering and charitable giving programs to help colleagues support causes that matter most to them, known as AXA XL’s “Hearts in Action” programs. These include our Matching Gifts program, Volunteering Leave, and our annual volunteering day - the Global Day of Giving. For more information, please see axaxl.com/sustainability. 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 United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Find your future at United! We’re reinventing what our industry looks like, and what an airline can be – from the planes we fly to the people who fly them. When you join us, you’re joining a global team of 100,000+ connected by a shared passion with a wide spectrum of experience and skills to lead the way forward. Achieving our ambitions starts with supporting yours. Evolve your career and find your next opportunity. Get the care you need with industry-leading health plans and best-in-class programs to support your emotional, physical, and financial wellness. Expand your horizons with travel across the world’s biggest route network. Connect outside your team through employee-led Business Resource Groups. Create what’s next with us. Let’s define tomorrow together. Job Overview And Responsibilities The Data Scientist will work on United's predictive maintenance use cases. This will include collaboration with aircraft engineers to plan installation of new aircraft sensors and avionics, enhancements to existing aircraft monitoring software, deployment of new predictive models, collaboration with OEMs, integration of health monitoring into United's approved maintenance programs, and technology to provide aircraft data directly to technicians. Liason with Stakeholders in the Aircraft Health Monitoring team, Aircraft Engineering and other Data Scientists to understand the importance of several Predictive Mx use case, their executive feasibility and do a cost benefit analysis to identify the highest impact use cases that need to be prioritized Work on complex Sensor data coming out of AC systems like ACARS and QAR and be able to parse out relevant information Analyze the AC Maintenance and Operations data that to identify issues with critical A/C systems Build, Test, Deploy and Monitor complex Machine learning algorithms that predict AC failures Maintain and enhance existing model deployments to make sure they stay valuable and relevant Mentor junior members of the team and stay up-to-date with ML advances 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 in a quantitative field Quantitative field like Math, Statistics, Operations Research, Computer Science, Engineering, Physics, or related fields At least 4 years of experience in Data Science/Machine Learning/advanced analytics/optimization Deep understanding of data structures, relationships, and efficient transformations Familiarity with all parts of the data ecosystem -- acquisition, engineering, storage, management, analysis, visualization, and model deployment and monitoring Strong Knowledge of database querying and being able to write complex queries to extract data Fluent skill in python/pyspark Strong knowledge of Statistical Modelling, feature engineering, testing Ability to propose novel modeling approaches based on the problem being solved 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 in a quantitative field At least 2 years experience in a project leadership role preferred Airline experience or knowledge of airline operations preferred Experience with anomaly detection, imbalanced classification, and time series analysis is strongly preferred Able to comprehend new data sources quickly and ask the right questions Quickly get comfortable with new jargon GGN00001950 Show more Show less

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do BCG is looking for a Global IT Software Engineer Senior Manager to contribute to the development, deployment, and optimization of cutting-edge Generative AI (GenAI) tools and IT solutions. In this role, you will work closely with cross-functional teams, bringing technical expertise and hands-on problem-solving to ensure the successful delivery of innovative and scalable software solutions that support BCG’s business objectives. Leading the implementation and optimization of GenAI applications and IT tools to enhance productivity and operational efficiency. Collaborate with Product Owners, Tribe Leaders, and other stakeholders to align technology solutions with business requirements. Administer and configure AI-powered SaaS tools, ensuring secure deployment and smooth integration across the organization. Identify opportunities for enhancements to enterprise AI tools, focusing on improving efficiency and user satisfaction. Support proof-of-concept (POC) projects to explore and validate innovative technologies and solutions. Continuously assess and optimize software architecture, focusing on scalability, reliability, and alignment with emerging trends. Document designs, development processes, and best practices to promote knowledge sharing and operational efficiency. Stay updated on emerging technologies such as LLMs, APIs, and cloud-based solutions, applying these innovations to drive impactful outcomes. What You'll Bring A bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degrees are a plus. 6-8 years of professional experience in software development or IT operations, with increasing responsibility. Proven experience in implementing AI-driven applications and SaaS solutions. Strong technical proficiency in both frontend and backend development (e.g., React, Python, Java, Typescript). Experience with cloud technologies and infrastructure as code (e.g., AWS, Kubernetes, Terraform). Familiarity with software design patterns, architecture trade-offs, and integration best practices. Knowledge of DevOps practices, CI/CD pipelines, and automated testing frameworks. Experience And Skills (Nice To Have) Previous experience building a user-facing GenAI/LLM software application Previous experience with vectors and embeddings (pgvector, chromadb) Knowledge of LLM RAG/Agent core concepts and fundamentals Experience with Helm, Neo4J, GraphQL for efficient data querying for APIs, and CI/CD tools like Jenkins for automating deployments Other AWS Managed Services (RDS, Batch, Lambda, Fargate, Step Functions, SQS/SNS, etc.) FastAPI and NextJS experience (if we’re still using the latter) Websockets, Server-Side Events, Pub/Sub (RabbitMQ, Kafka, etc.) Who You'll Work With Squad members of a specific squad, led by a Product Owner. Tribe Leaders, Product Owners, and other Chapter Leads to align resources and priorities. Agile Coaches and Scrum Masters to embed Agile practices and principles into daily operations. Cross-functional IT teams to ensure alignment with BCG’s overall IT strategy and architecture. Additional info YOU’RE GOOD AT Driving the adoption and optimization of SaaS tools and AI-driven applications to meet organizational needs. Solving technical challenges and developing scalable, innovative solutions. Applying Change Management disciplines to ensure successful technology rollouts. Proactively identifying and implementing automation capabilities to reduce manual effort and errors. Collaborating effectively with diverse stakeholders, including technical teams and business leaders. Adapting to fast-paced environments and evolving priorities with high energy and autonomy. Leveraging expertise in GenAI, SaaS integrations, cloud technologies, and security to deliver impactful solutions. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify. Show more Show less

On-the-Job Training Program: Database Administration Trainee Location: Calicut, Kerala Job Type: Full-time, Fresher, Internship Contract Length: 6 months Job Description: We are seeking a motivated and detail-oriented Database Administration Trainee to join our team. This role provides an excellent opportunity to gain hands-on experience in managing and maintaining databases, ensuring their performance, integrity, and security. As a trainee, you will work alongside experienced database administrators, contributing to real-world database management projects. Key Responsibilities: Assist in the installation, configuration, and maintenance of database systems. Support database backup and recovery procedures to ensure data integrity and security. Help monitor database performance, troubleshoot issues, and optimize queries for faster data retrieval. Participate in database upgrades, patches, and version control to ensure systems are up to date. Assist in setting up and managing user permissions and roles to maintain security. Help in the design and implementation of database schemas, tables, and indexes. Work on data migration tasks, transferring data between different database systems or environments. Participate in regular database audits to ensure compliance with security policies. Collaborate with development teams to ensure that database structures meet the needs of applications. Stay updated with the latest trends and best practices in database administration and management. Requirements: Basic understanding of database management systems (DBMS) and database concepts. Familiarity with SQL (Structured Query Language) for querying and manipulating databases. Strong analytical and problem-solving skills with an attention to detail. Understanding of database security principles and best practices. Good communication skills and the ability to work effectively in a team. A desire to learn and grow in the field of database administration. Why Join Us? If you are passionate about databases and eager to learn about database management, optimization, and security in a collaborative, hands-on environment, this training program offers a fantastic opportunity to kick-start your career in database administration. Schedule: Shift: Day shift Work Location: In person Experience: Level: Fresher Job Type: Internship Contract Length: 6 months Job Type: Internship Contract length: 6 months Pay: ₹4,500.00 - ₹10,000.00 per month Schedule: Day shift Work Location: In person

Role And Responsibilities Outcomes India is seeking a highly qualified Level 3 Support Engineer capable of researching and addressing customer inquiries. The ideal candidate should be technically sound with hands on experience in technical troubleshooting. The roles and responsibilities include – Researching and resolving technical issues Filing reports regarding technical problems Walking stakeholders (L1 support team primarily) through solutions Collaborate with other engineering teams, Product Management and Account Management teams effectively. Requirements The candidates must possess the following attributes: Overall 2+ years of relevant experience with a Bachelor’s or Master’s Degree (preferably in Computer Science or Information Science) Must be self-driven with excellent troubleshooting, problem-solving and analytical skills Excellent communication skills to effectively communicate solutions or an action plan to stakeholders Strong database querying skills (MySQL in particular) Strong conceptual knowledge in core java and should be strong in debugging and deploying Java based applications. Experience in Agile (Kanban) project methodologies Show more Show less