Lifesight is a fast-growing SaaS company focused on helping businesses leverage data & AI to improve customer acquisition and retention. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia, and the UK. Our mission is to make it easy for non-technical marketers to leverage advanced data activation and marketing measurement tools that are powered by AI, to improve their performance and achieve their KPIs. Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth. Dealing with Petabytes of data and more than 400TB+ daily data processing to power attribution and measurement platforms of Lifesight, building scalable, highly available, fault-tolerant, big data platforms is critical for our success. From your first day at Lifesight, you'll make a valuable - and valued - contribution. We offer you the opportunity to delight customers around the world while gaining meaningful experience across a variety of disciplines. About The Role Lifesight is growing rapidly and seeking a strong Data Engineer to be a key member of the Data and Business Intelligence organization with a focus on deep data engineering projects. You will be joining as one of the few initial data engineers as part of the data platform team in our Bengaluru office. You will have an opportunity to help define our technical strategy and data engineering team culture in India. You will design and build data platforms and services while managing our data infrastructure in cloud environments that fuels strategic business decisions across Lifesight products. A successful candidate will be a self-starter, who drives excellence, is ready to jump into a variety of big data technologies & frameworks, and is able to coordinate and collaborate with other engineers, as well as mentor other engineers in the team. What You'll Be Doing Build quality data solutions and refine existing diverse datasets to simplified models encouraging self-service Build data pipelines that optimize on data quality and are resilient to poor quality data sources Low-level systems debugging, performance measurement & optimization on large production clusters Maintain and support existing platforms and evolve to newer technology stacks and architectures We're excited if you have 3+ years of professional experience as a data or software engineer Proficiency in Python and pyspark Deep understanding of Apache Spark, Spark tuning, creating RDDs, and building data frames. Create Java/ Scala Spark jobs for data transformation and aggregation. Experience in big data technologies like HDFS, Hive, Kafka, Spark, Airflow, Presto, etc. Experience working with various file formats like Parquet, Avro, etc for large volumes of data Experience with one or more NoSQL databases Experience with AWS, GCP Please submit your details here, if you are interested - https://forms.gle/rgzn7cdVcd2HnQQE7

The Solution Architect Big Data is a strategic professional who stays abreast of technology developments within own field and contributes to directional strategy by considering their application in own job and business. Recognized as a technical authority for an area within the business. Requires basic commercial awareness. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. Responsibilities: Executes the architectural vision for all IT systems through major, complex IT architecture projects; ensures that architecture conforms to enterprise blueprints. Develops technology road maps, while keeping up-to-date with emerging technologies, and recommends business directions based on these technologies. Provides technical leadership and is responsible for developing components of, or the overall systems design. Translates complex business problems into sound technical solutions. Applies hardware engineering and software design theories and principles in researching, designing, and developing product hardware and software interfaces. Provides integrated systems planning and recommends innovative technologies that will enhance the current system. Recommends appropriate desktop, computer platform, and communication links required to support IT goals and strategy. Exhibits good knowledge of how own specialism contributes to the business and good understanding of competitors products and services. Acts as an advisor or mentor to junior team members. Requires sophisticated analytical thought to resolve issues in a variety of complex situations. Impacts the architecture function by influencing decisions through advice, counsel or facilitating services. Guides, influences and persuades others with developed communication and diplomacy skills. Performs other job duties and functions as assigned Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 12+ years' experience in Big Data and/or Public Cloud 8 years' experience working on Big Data technologies: Hadoop, HDFS, Hive, Spark, Impala, etc. Technical Expertise in financial services industry and/or regulatory environments Excellent knowledge and experience on solutioning Cloud native solutions Experience with migrating on-prem applications to Cloud Architectures or developing cloud native applications for any of the following: AWS, Azure, GCP, OpenShift Ability to work across technology stacks and perform R&D on new technologies Proficiency in one or more programming languages like Java, Python etc. Consistently demonstrates clear and concise written and verbal communication Management and prioritization skills Ability to develop working relationships Ability to manage multiple activities and changing priorities Ability to work under pressure and to meet tight deadlines Self-starter with ability to take the initiative and master new tasks quickly Methodical, attention to detail Preference: Experience on architecting Gen AI based technology solutions is preferred Education: Bachelor’s/University degree or equivalent experience, potentially Masters degree ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Architecture ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. 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 the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting Show more Show less

Data Engineer Intern – Xiaomi India Location: Bangalore, India Duration: 6 Months Internship Eligibility: College Passed out students (B.Tech/M.Tech in CS, IT or other related fields) Xiaomi is one of the world’s leading technology companies, with a strong presence in India across smartphones, smart devices, and internet services. At Xiaomi India, data is at the core of all strategic decisions. We’re looking for passionate Data Engineer Interns to work on high-impact projects involving large-scale data systems, data modeling, and pipeline engineering to support business intelligence, analytics, and AI use cases. Key Responsibilities Assist in building scalable data pipelines using Python and SQL. Support data modeling activities for analytics and reporting use cases. Perform data cleansing, transformation, and validation using PySpark. Collaborate with data engineers and analysts to ensure high data quality and availability. Work on Hadoop ecosystem tools to process large datasets. Contribute to data documentation and maintain version-controlled scripts Technical Skills Required Strong proficiency in Python for data processing and scripting. Good knowledge of SQL – writing complex queries, joins, aggregations Understanding of Data Modeling concepts – Star/Snowflake schema, Fact/Dimension tables. Familiarity with Big Data / Hadoop ecosystem – HDFS, Hive, Spark. Basic exposure to PySpark will be a strong plus. Experience with tools like Jupyter Notebook, VS Code, or any modern IDE. Exposure to cloud platforms (AWS/Azure/GCP/Databricks) is a bonus. Soft Skills Eagerness to learn and work in a fast-paced data-driven environment. Strong analytical thinking and attention to detail. Good communication and collaboration skills. Self-starter with the ability to work independently and in teams. Show more Show less

This job is with Standard Chartered Bank, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Summary The Chapter Lead Backend development is a role is a hands-on developer role focusing on back-end development and is accountable for people management and capability development of their Chapter members. Responsibilities in detail are: Responsibilities Oversees the execution of functional standards and best practices and provide technical assistance to the members of their Chapter. Responsible for the quality of the code repository where applicable. Maintain exemplary coding standards within the team, contributing to code base development and code repository management. Perform code reviews to guarantee quality and promote a culture of technical excellence in Java development. Function as a technical leader and active coder, setting and enforcing domain-specific best practices and technology standards. Allocate technical resources and personal coding time effectively, balancing leadership with hands-on development tasks. Maintain a dual focus on leadership and hands-on development, committing code while steering the chapter's technical direction. Oversee Java backend development standards within the chapter across squads, ensuring uniform excellence and adherence to best coding practices. Harmonize Java development methodologies across the squad, guiding the integration of innovative practices that align with the bank's engineering strategies. Advocate for the adoption of cutting-edge Java technologies and frameworks, driving the evolution of backend practices to meet future challenges. Strategy Oversees the execution of functional standards and best practices and provide technical assistance to the members of their Chapter. Responsible for the quality of the code repository where applicable. Acts as a conduit for the wider domain strategy, for example technical standards. Prioritises and makes available capacity for technical debt. This role is around capability building, it is not to own applications or delivery. Actively shapes and drives towards the Bank-Wide engineering strategy and programmes to uplift standards and steer the technological direction towards excellence Act as a custodian for Java backend expertise, providing strategic leadership to enhance skill sets and ensure the delivery of high-performance banking solutions. Business Experienced practitioner and hands on contribution to the squad delivery for their craft (Eg. Engineering). Responsible for balancing skills and capabilities across teams (squads) and hives in partnership with the Chief Product Owner & Hive Leadership, and in alignment with the fixed capacity model. Responsible to evolve the craft towards improving automation, simplification and innovative use of latest market trends. Collaborate with product owners and other tech leads to ensure applications meet functional requirements and strategic objectives Processes Promote a feedback-rich environment, utilizing internal and external insights to continuously improve chapter operations. Adopt and embed the Change Delivery Standards throughout the lifecycle of the product / service. Ensure role, job descriptions and expectations are clearly set and periodic feedback provided to the entire team. Follows the chapter operating model to ensure a system exists to continue to build capability and performance of the chapter. Chapter Lead may vary based upon the specific chapter domain its leading. People & Talent Accountable for people management and capability development of their Chapter members. Reviews metrics on capabilities and performance across their area, has improvement backlog for their Chapters and drives continual improvement of their chapter. Focuses on the development of people and capabilities as the highest priority. Risk Management Responsible for effective capacity risk management across the Chapter with regards to attrition and leave plans. Ensures the chapter follows the standards with respect to risk management as applicable to their chapter domain. Adheres to common practices to mitigate risk in their respective domain. Design and uphold a robust risk management plan, with contingencies for succession and role continuity, especially in critical positions Governance Ensure all artefacts and assurance deliverables are as per the required standards and policies (e.g., SCB Governance Standards, ESDLC etc.). Regulatory & Business Conduct Ensure a comprehensive understanding of and adherence to local banking laws, anti-money laundering regulations, and other compliance mandates. Conduct business activities with a commitment to legal and regulatory compliance, fostering an environment of trust and respect. Key stakeholders Chapter Area Lead Sub-domain Tech Lead Domain Architect Business Leads / Product owners Other Responsibilities Champion the company's broader mission and values, integrating them into daily operations and team ethos. Undertake additional responsibilities as necessary, ensuring they contribute to the organisation's strategic aims and adhere to Group and other Relevant policies. Skills And Experience Hands-on Java Development Leadership in System Architecture Database Proficiency CI / CD Container Platforms - Kubernetes / OCP / Podman Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field, with preference given to advanced degrees. 10 years of professional Java development experience, including a proven record in backend system architecture and API design. At least 5 years in a leadership role managing diverse development teams and spearheading complex Java projects. Proficiency in a range of Java frameworks such as Spring, Spring Boot, and Hibernate, and an understanding of Apache Struts. Proficient in Java, with solid expertise in core concepts like object-oriented programming, data structures, and complex algorithms. Knowledgeable in web technologies, able to work with HTTP, RESTful APIs, JSON, and XML Expert knowledge of relational databases such as Oracle, MySQL, PostgreSQL, and experience with NoSQL databases like MongoDB, Cassandra is a plus. Familiarity with DevOps tools and practices, including CI/CD pipeline deployment, containerisation technologies like Docker and Kubernetes, and cloud platforms such as AWS, Azure, or GCP. Solid grasp of front-end technologies (HTML, CSS, JavaScript) for seamless integration with backend systems. Strong version control skills using tools like Git / Bitbucket, with a commitment to maintaining high standards of code quality through reviews and automated tests. Exceptional communication and team-building skills, with the capacity to mentor developers, facilitate technical skill growth, and align team efforts with strategic objectives. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Ability to work effectively in a fast-paced, dynamic environment. About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. Show more Show less

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio Your Role And Responsibilities Developer leads the cloud application development/deployment. A developer responsibility is to lead the execution of a project by working with a senior level resource on assigned development/deployment activities and design, build, and maintain cloud environments focusing on uptime, access, control, and network security using automation and configuration management tools Preferred Education Master's Degree Required Technical And Professional Expertise Strong proficiency in Java, Spring Framework, Spring boot, RESTful APIs, excellent understanding of OOP, Design Patterns. Strong knowledge of ORM tools like Hibernate or JPA, Java based Micro-services framework, Hands on experience on Spring boot Microservices Strong knowledge of micro-service logging, monitoring, debugging and testing, In-depth knowledge of relational databases (e.g., MySQL) Experience in container platforms such as Docker and Kubernetes, experience in messaging platforms such as Kafka or IBM MQ, Good understanding of Test-Driven-Development Familiar with Ant, Maven or other build automation framework, good knowledge of base UNIX commands Preferred Technical And Professional Experience Experience in Concurrent design and multi-threading Primary Skills: - Core Java, Spring Boot, Java2/EE, Microservices - Hadoop Ecosystem (HBase, Hive, MapReduce, HDFS, Pig, Sqoop etc) - Spark Good to have Python Show more Show less

Description As a Research Analyst, you'll collaborate with experts to develop cutting-edge ML solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Key job responsibilities Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product roadmap Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry Coordinate design efforts between Sciences and Software teams to deliver optimized solutions Ability to thrive in an ambiguous, uncertain and fast moving ML usecase developments. Familiar with ML models and work independent. Mentor Junior Research Analyst (RAs) and contribute to RA hiring About The Team Retail Business Services Technology (RBS Tech) team develops the systems and science to accelerate Amazon’s flywheel. The team drives three core themes: 1) Find and Fix all customer and selling partner experience (CX and SPX) defects using technology, 2) Generate comprehensive insights for brand growth opportunities, and 3) Completely automate Stores tasks. Our vision for MLOE is to achieve ML operational excellence across Amazon through continuous innovation, scalable infrastructure, and a data-driven approach to optimize value, efficiency, and reliability. We focus on key areas for enhancing machine learning operations: a) Model Evaluation: Expanding LLM-based audit platform to support multilingual and multimodal auditing. Developing an LLM-powered testing framework for conversational systems to automate the validation of conversational flows, ensuring scalable, accurate, and efficient end-to-end testing. b) Guardrails: Building common guardrail APIs that teams can integrate to detect and prevent egregious errors, knowledge grounding issues, PII breaches, and biases. c) Deployment Framework support LLM deployments and seamlessly integrate it with our release management processes. Basic Qualifications Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) 3+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Strong analytical thinking Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. Preferred Qualifications Master's degree with specialization in ML, NLP or Computer Vision preferred 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics 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 MAA 15 SEZ Job ID: A2911939 Show more Show less

Overview: Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities: Team: Core Engineering Reliability Team Collaborate with engineering and TPM leaders, developers, and process engineers to create data solutions that extract actionable insights from incident and post-incident management data, supporting objectives of incident prevention and reducing detection, mitigation, and communication times. Work with diverse stakeholders to understand their needs and design data models, acquisition processes, and applications that meet those requirements. Add new sources, implement business rules, and generate metrics to empower product analysts and data scientists. Serve as the data domain expert, mastering the details of our incident management infrastructure. Take full ownership of problems from ambiguous requirements through rapid iterations. Enhance data quality by leveraging and refining internal tools and frameworks to automatically detect issues. Cultivate strong relationships between teams that produce data and those that build insights. Qualifications: Minimum Qualifications / Your background: BS in Computer Science or equivalent experience with 8+ years as a Senior Data Engineer or similar role 10+ Years of progressive experience in building scalable datasets and reliable data engineering practices. Proficiency in Python, SQL, and data platforms like DataBricks Proficiency in relational databases and query authoring (SQL). Demonstrable expertise designing data models for optimal storage and retrieval to meet product and business requirements. Experience building and scaling experimentation practices, statistical methods, and tools in a large scale organization Excellence in building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools. Expert experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka). Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team. Well versed in modern software development practices (Agile, TDD, CICD) Desirable Qualifications Demonstrated ability to design and operate data infrastructure that deliver high reliability for our customers. Familiarity working with datasets like Monitoring, Observability, Performance, etc.. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh .

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. - Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. - Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. - Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities: - Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. - Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised Learning Developed feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka Experience: - 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. - Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud - Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have: - Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager ͏ ͏ ͏ ͏ Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Company Description Greetings of the day and we are writing to introduce ourselves as "ANNAI LATEX PRIVATE LIMITED", Tirunelveli, Tamilnadu, a new leader in manufacturing of latex surgical gloves. Our plant is erected by leading Malaysian company KENDEK. We use "CERAMTEC" formers, the leaders in the manufacturing of formers from Germany. At "Annai Latex Private Limited "we offer wide range of products. • Sterile Latex Surgical Gloves - Pre-Powdered • Sterile Latex Surgical Gloves – Powder Free • Latex Examination Gloves – Pre-Powdered • Latex Examination Gloves – Powder Free • Nitrile Examination – Powder Free We are committed to provide our customers with high quality medical gloves to achieve total customer satisfaction by adopting continued improvement methods and products of excellent and consistent quality. We aim to ensure complete reliability, on time delivery with customer service excellence for all range of our products. Our Strength • Fully automated dipping line with online polymer quoting for powder free gloves. • Robotic stripping facility in the production. • In house facilities for Printing, Packing and Sterilization. Our Brands • Smart Hands - Sterile Latex Surgical Gloves. • Handy Hands - Nitrile Examination Gloves. • Glove Hive - Latex Examination Gloves | Pre-Powdered | Powder Free Role Description This is a full-time, on-site role located in Tamil Nadu, India for a Assistant Purchasing Manager at Annai Latex Private Limited. The Assistant Purchasing Manager will be responsible for managing and overseeing all aspects of the procurement process. This includes identifying purchasing needs, conducting market research, negotiating with suppliers, and ensuring that goods and services are delivered on time. Additional responsibilities include maintaining supplier relationships, managing purchase orders, and ensuring compliance with company policies and budgetary constraints. Qualifications • Experience in the relevant industry in procurement, supplier management, and negotiation skills • Understanding of inventory management, and logistics coordination • Analytical and problem-solving skills to assess market conditions and supplier performance • Strong verbal and written communication skills • Ability to work independently and as part of a team • Knowledge of ERP systems and procurement software is a plus • Bachelor's degree in Business Administration, Supply Chain Management, or a related field Send across your resume to hr@annailatex.com. Show more Show less

Required Skills : Python Processing of large quantities of text documents Extraction of text from Office and PDF documents Input json to an API, output json to an API Nifi (or similar technology compatible) Basic understanding of AI/ML concepts Database/Search engine/SOLR skills SQL – build queries to analyze, create and update databases Understands the basics of hybrid search Experience working with terabytes (TB) of data Basic OpenML/Python/Azure knowledge Scripting knowledge/experience in an Azure environment to automate Cloud systems experience related to search and databases Platforms: DataBricks Snowflake ESRI ArcGIS / SDE New GenAI app being developed Scope of work : 1. Ingest TB of data from multiple sources identified by the Ingestion Lead 2. Optimize data pipelines to improve on data processing, speed, and data availability 4. Make data available for end users from several hundred LAN and SharePoint areas 5. Monitor data pipelines daily and fix issues related to scripts, platforms, and ingestion 6. Work closely with the Ingestion Lead & Vendor on issues related to data ingestion Technical Skills demonstrated: 1. SOLR - Backend database 2. Nifi - Data movement 3. Pyspark - Data Processing 4. Hive & Oozie - For jobs monitoring 5. Querying - SQL, HQl and SOLR querying 6. SQL 7. Python Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Design and develop data-ingestion frameworks, real-time processing solutions, and data processing and transformation frameworks leveraging open source tools and data processing frameworks. Hands-on on technologies such as Kafka, Apache Spark (SQL, Scala, Java), Python, Hadoop Platform, Hive, Presto, Druid, airflow Deep understanding of BigQuery architecture, best practices, and performance optimization. Proficiency in LookML for building data models and metrics. Experience with DataProc for running Hadoop/ Spark jobs on GCP. Knowledge of configuring and optimizing DataProc clusters. Offer system support as part of a support rotation with other team members. Operationalize open source data-analytic tools for enterprise use. Ensure data governance policies are followed by implementing or validating data lineage, quality checks, and data classification. Understand and follow the company development lifecycle to develop, deploy and deliver the solutions. Minimum Qualifications Bachelor's degree in Computer Science, CIS, or related field Experience on project(s) involving the implementation of software development life cycles (SDLC) GCP DATA ENGINEER If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

We are seeking a highly experienced Senior Data Software Engineer to join our dynamic team and tackle challenging projects that will enhance your skills and career. As a Senior Engineer, your contributions will be critical in designing and implementing Data solutions across a variety of projects. The ideal candidate will possess deep experience in Big Data and associated technologies, with a strong emphasis on Apache Spark, Python, Azure and AWS. Responsibilities Develop and execute end-to-end Data solutions to meet complex business needs Work collaboratively with interdisciplinary teams to comprehend project needs and deliver superior software solutions Apply your expertise in Apache Spark, Python, Azure and AWS to create scalable and efficient data processing systems Maintain and enhance the performance, security, and scalability of Data applications Keep abreast of industry trends and technological advancements to foster continuous improvement in our development practices Requirements 5-8 years of direct experience in Data and related technologies Advanced knowledge and hands-on experience with Apache Spark High-level proficiency with Hadoop and Hive Proficiency in Python Prior experience with AWS and Azure native Cloud data services Technologies Hadoop Hive Show more Show less

Job Description About Edspectrum Foundation: Edspectrum Foundation is a Section 8 non-profit Company started in 2019. Edspectrum Foundation is a social enterprise that caters to 4 aspects of education: early childhood education and consultancy, whole school transformation, education content creation and translation, and CSR program implementation. We have worked with organisations like Nascomm Foundation, Garden Valley International School, United India, Tag Hive, Cartwheel School, Shahi Exports, Baazi Games and more. Edspectrum Foundation began with a profound understanding of the non-linear nature of children's learning, development, and growth. We recognise that a child's learning journey is not confined to the classroom; it extends to their homes, communities, schools, and the places they explore. Our existence revolves around reaching every aspect of a community to facilitate each child's holistic learning, development, and growth. Our mission is to provide quality learning and development experiences to every child in India, empowering them to exercise their full potential in their adulthood, regardless of their socio-economic background. Our Philosophy Where we find ourselves today as adults, our lives are surrounded by various facets, whether it's our career, relationships, marriage, parents, or social life. We are continually engaged in efforts to enhance these aspects. As we grow older, the knowledge, mindset, and skills required to improve them become more challenging and demand greater effort over time. Initiating efforts with children from the early stages allows them to tap into their potential more effectively as adults. Learning and understanding are more accessible during childhood compared to the challenges faced in adulthood. Therefore, we begin our mission in early childhood, where working on children's potential is the easiest. If we miss this window, we can still collaborate with schools or after-school programs during their primary and secondary years, partnering with CSR initiatives. In cases where we can't reach children who need our assistance, we provide endowment funds for short-term projects to ensure we reach their potential in seemingly unreachable places. Even if we miss these opportunities, we continue to support youth and adults in their development and growth. Through collaborations with other organisations, we aim to provide accessible content, training, and mentorship to build specific skills for empowerment and potential development. Our mission is straightforward: to prepare individuals for adult life, equipping them with a powerful mindset and skills necessary to navigate the complexities of work, career, relationships, family, and social life. We aim to guide them towards realising their full potential, enabling them to handle these aspects confidently and proficiently, rather than struggling through them. Position Summary As a Teacher Champion , you will deliver high‑impact English lessons in under‑resourced schools, mentor peers, and drive continuous improvement. Location: Faridabad, Haryana & Delhi, Lajpat Nagar (field-based, completely) Working Hours: 11:00 AM – 5:30 PM (excluding travel time) Working Days: Mon–Fri Partner Schools: 4 Salary: 15000 INR Duration: June/July 2025 – March 2026 Reports to: Project Lead Type of Job: Contractual Joining: Immediate Key Responsibilities 1. Lesson Delivery & Student Engagement Teach LSRW classes/week per assigned classrooms in our partner schools. Design contextualised, interactive activities (role‑plays, games, art, etc.) linked to real life. Track and document attendance, participation, and formative assessments and baseline, midline and endline assessments weekly. Conduct and document weekly 5‑ 10 min speaking/listening calls with each class’s students; coordinate schedules with parents and Program Manager. 2. Self-Learning & Coaching Participate in all organisational learning/coaching programs on-site and off-site, and share reflections. Develop and deliver one monthly learning workshop for teacher peers. Help school teachers build their teaching skills through co‑teaching with you in coordination with Project Lead. 3. Parent & Community Engagement Assist in home visits to mobilise parents toward children’s learning and attendance. Coordinate parent calls for student absenteeism and share progress. Co-organise the National English Olympiad in each school with the Program Manager and proctor exams. Organise student 5-6 learning showcase events by demonstrating students’ English skills across all partner schools. 4. Content Creation & Reporting Post one weekly social media update highlighting classroom activities and student reflections. Write one monthly blog reflecting on teaching experiences and student learning. Submit a monthly report with student portfolios and activity and progress data to the Project Lead of your work. 5. Program Continuity & Backup Planning Build and maintain absence backup plans for each class (alternate activities/materials). Ensure your classes have substitutes or self‑learning modules when you are unavailable. (If you want, you can organise volunteers for your classrooms – a certificate will be issued to them if they work for at least a month with us) 6. Daily WhatsApp Content Delivery · Send contextualised reading‑comprehension passages, vocabulary tables, and MCQs via WhatsApp daily to reinforce learning. Mindset & Environment Passion for Youth: Love working with students aged 11–15. Resilient & Flexible: Thrives in fast‑paced, startup‑style conditions with limited comforts. Social Commitment: Motivated by social impact in underprivileged settings. The ideal candidate should have a deep love for children, regardless of their backgrounds, and be resourceful in meeting the diverse needs of our work. They should have a strong desire to provide support to the less privileged sections of society by actively engaging with these communities and their members despite hard and tough working conditions. Being resourceful is key to this role. Candidate should be okay with working in low-income private schools, government schools with harsh and tough conditions where heat, electricity, sanitation and hygiene could be a big problem for students and staff both. And lastly, love to work inthe social sector and want to make an impact in life of others. If someone is here for money and can drive themselves with a salary component, then you won't be fit for the work this project demands. Success Metric: You will know you have succeeded if: Your students show measurable improvement in English LSRW skills across baseline, midline, and endline assessments. Students regularly attend and participate in class, showing increased confidence and engagement . Your class is consistently supported with clear plans, backups, and learning showcases. Your lessons contribute to Edspectrum’s vision of building a sustainable, community-driven learning ecosystem . Core Values Embody and celebrate these values in all interactions with students, colleagues, and stakeholders. These values bind us together, fostering a sense of unity as we passionately and lovingly work towards our common mission for the well-being of our children. So, it is must to practice and build these values in your work with Edspectrum Foundation. Respect Empathy Courage Determination Appreciation Growth Mindset Bias for Action Integrity Qualifications & Experience A bachelor’s degree in education, English, or a related field; teaching certification is preferred. 0 – 2 years of experience teaching English in challenging or low‑resource contexts. Creativity and curiosity to create engaging, learner-centred lessons. Familiarity with WhatsApp, Google tools, and basic ed‑tech tools. Strong organisational, communication, interpersonal, adaptive and collaborative skills. Join us to transform English learning for underprivileged students and build a brighter future through language empowerment! Apply Mail your resume to Piyush Jain at piyush@edspectrumfoundation.org Show more Show less

Salary: 25 to 40 LPA Exp: 7 to 11 years Location: Bangalore/Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools, ETL etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 6-10 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Pune/Bangalore/Gurgaon(Hybrid) Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Gurgaon(Hybrid) Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities Team: Core Engineering Reliability Team Collaborate with engineering and TPM leaders, developers, and process engineers to create data solutions that extract actionable insights from incident and post-incident management data, supporting objectives of incident prevention and reducing detection, mitigation, and communication times. Work with diverse stakeholders to understand their needs and design data models, acquisition processes, and applications that meet those requirements. Add new sources, implement business rules, and generate metrics to empower product analysts and data scientists. Serve as the data domain expert, mastering the details of our incident management infrastructure. Take full ownership of problems from ambiguous requirements through rapid iterations. Enhance data quality by leveraging and refining internal tools and frameworks to automatically detect issues. Cultivate strong relationships between teams that produce data and those that build insights. Qualifications Minimum Qualifications / Your background: BS in Computer Science or equivalent experience with 8+ years as a Senior Data Engineer or similar role 10+ Years of progressive experience in building scalable datasets and reliable data engineering practices. Proficiency in Python, SQL, and data platforms like DataBricks Proficiency in relational databases and query authoring (SQL). Demonstrable expertise designing data models for optimal storage and retrieval to meet product and business requirements. Experience building and scaling experimentation practices, statistical methods, and tools in a large scale organization Excellence in building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools. Expert experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka). Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team. Well versed in modern software development practices (Agile, TDD, CICD) Desirable Qualifications Demonstrated ability to design and operate data infrastructure that deliver high reliability for our customers. Familiarity working with datasets like Monitoring, Observability, Performance, etc.. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh . Show more Show less

Job Requirements Job Requirements Role/ Job Title: Senior Data Engineer Business: New Age Function/ Department: Data & Analytics Place of Work: Mumbai/Bangalore Roles & Responsibilities 'Minimum 6 years of Data Engineering experience and 3 years in large scale Data Lake ecosystem Proven expertise in SQL, Spark Python, Scala, Hadoop ecosystem, Have worked on multiple TBs/PBs of data volume from ingestion to consumption Work with business stakeholders to identify and document high impact business problems and potential solutions First-hand experience with the complete software development life cycle including requirement analysis, design, development, deployment, and support Advanced understanding of Data Lake/Lakehouse architecture and experience/exposure to Hadoop (cloudera,hortonworks) and AWS Work on end-to-end data lifecycle from Data Ingestion, Data Transformation and Data Consumption layer. Versed with API and its usability A suitable candidate will also be proficient Spark, Spark Streaming, AWS, and EMR A suitable candidate will also demonstrate machine learning experience and experience with big data infrastructure inclusive of MapReduce, Hive, HDFS, YARN, HBase, Oozie, etc. The candidate will additionally demonstrate substantial experience and a deep knowledge of data mining techniques, relational, and non-relational databases. Advanced skills in technical debugging of the architecture in case of issues Creating Technical Design Documentation (HLD/LLD) of the projects/pipelines Secondary Responsibilities 'Ability to work independently and handle your own development effort. Excellent oral and written communication skills Learn and use internally available analytic technologies Identify key performance indicators and establish strategies on how to deliver on these key points for analysis solutions Use educational background in data engineering and perform data mining analysis Work with BI analysts/engineers to create prototypes, implementing traditional classifiers and determiners, predictive and regressive analysis points Engage in the delivery and presentation of solutions Managerial & Leadership Responsibilities 'Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors Oversee the data integration work, including integrating a data model with datalake, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals Key Success Metrics 'Ensure timely deliverables. Spot Data fixes. Lead technical aspects of the projects. Error free deliverables. Show more Show less

Job Summary Strategy Co-oridnate with leadership team and interfaces to define data quality solutions Partner with business team to evaluate new ideas or initiative initiated by technology or business team. Business Manage digitization and automation programs for improving client experience. Manage and work with architects, solution enginerrer , product team to facilitate prospecting Processes Responsible for business delivery aligning to SCB defined technology and project management processes & frameworks and customizing such to specific Cash needs where required Manage solutions delivery within timelines. People & Talent Train and mentor the newer/junior team members to come up the curve by having training documents in place and conducting knowledge sharing sessions. Monitor the progress of team members and provide continuous feedback for them to be able to progress and grow. Governance Audit engagement/management process compliance Maintain the list of traceability for each requirement and solution Key Responsibilities Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Fill in for regulated roles] Lead the team to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders Work closely with the Product owners, Business Solution Leads and Development team to support the analysis and solutioning of various Payment initiatives. Work closely with Product managers, Business Solution Leads, Development team and other peer BAs in the team to ensure standardization for Payments platform across countries Suggests areas for improvement in internal processes along with possible solutions. Work closely with the Program, Remote Project Management Teams & Scrum masters to achieve key milestones, deliverables and tracking to ensure success of the overall project delivery Communicate effectively with System Development/Technology teams to establish appropriate solutions to meet business requirements. Support testing team as required ensuring product quality Other Responsibilities Embed Here for good and Group’s brand and values in team . Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats); Scope & Solution Manage scope in line with Requirements , Solution and User stories in line with MVPs In case any deviation in scope then document it with approvals Review solution and analysis should be done properly. Gap should not arise post solution finalized. Contributing to architecture definition for large and complex projects and responsible for technical solution for projects falling with in a vertical or a domain Key Roles & Responsibilities Responsible for managing and providing business solutions for payment and clearing applications. Responsible for product development and requirement specifications for payment applications including understanding of business requirements, defining business and functional requirements and working with the business and development teams to support seamless project delivery. Engage with the country business to understand relevant trends and opportunities for payment products to better serve customers. Plan a roadmap of enhancements and initiatives that would deliver a stronger payment roadmap and work with the Segment Product Manager to identify suitable processes for funding, development and prioritization. Maximize technology investment for payment product development; ensuring criteria for project ranking and prioritization are clearly communicated to the business. Work closely with the Program & Remote Project Management Teams for supporting achievement of key milestones, deliverables and tracking to ensure success of the overall project delivery. Skills And Experience Excellent communication and stakeholder management Presentation and documentation skills Agile methodologies and process SQL queries, Oracle,DB2 Micro service architecture Data base structures and design Data Analytics and Dashboard tools Java, Springboots, Cloud architecture Industry experience in new payments product launch Industry experience in new launching features to clients Supporting streams for payments such as Screening, Auditing, Pricing and Billing, core banking etc Data Quality & Meta data tools like informatica Hands on experience & Knowledge on the following applications Hazelcast Hive Elastic search Dremio Kafka Avro Tableau & MicroStrategy Postgres Qualifications Experience and in-depth understanding in a product management/business analyst role in a financial institution, e-commerce or online environment. Strong analytical skills and able to assess multiple systems for troubleshooting. Good problem solver and decision maker. Ability to write well and experienced at writing various business documents (i.e. business requirements document, functional specifications, presentations and reports). Possess ability to perform interface mapping between upstream and downstream applications. Skills to execute basic SQL queries and perform System Testing for developed product. Excellent communications skills, confidence and ability to work with an international team in a cross-cultural and geographically dispersed workplace. Should possess qualities that would be useful in multiple stakeholder management. Motivated, able to work independently, proactively and efficiently in a fast paced and changing environment. Excited and passionate about Banking Business. About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. Show more Show less

Job Description The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. At least two years (Over all 10+ hands on Data Engineering experience) of experience building and leading highly complex, technical data engineering teams. Lead data engineering team, from sourcing to closing. Drive strategic vision for the team and product Responsibilities: Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements Experience managing an data focused product,ML platform Hands on experience relevant experience in design, develop, and optimize scalable distributed data processing pipelines using Apache Spark and Scala. Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation Experience managing, hiring and coaching software engineering teams. Experience with large-scale distributed web services and the processes around testing, monitoring, and SLAs to ensure high product quality. Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary Required Skills: Experience: 7 to 10+ years of hands-on experience in big data development, focusing on Apache Spark, Scala, and distributed systems. Proficiency in Functional Programming: High proficiency in Scala-based functional programming for developing robust and efficient data processing pipelines. Proficiency in Big Data Technologies: Strong experience with Apache Spark, Hadoop ecosystem tools such as Hive, HDFS, and YARN. AIRFLOW, DataOps, Data Management Programming and Scripting: Advanced knowledge of Scala and a good understanding of Python for data engineering tasks. Data Modeling and ETL Processes: Solid understanding of data modeling principles and ETL processes in big data environments. Analytical and Problem-Solving Skills: Strong ability to analyze and solve performance issues in Spark jobs and distributed systems. Version Control and CI/CD: Familiarity with Git, Jenkins, and other CI/CD tools for automating the deployment of big data applications. Desirable Experience: Real-Time Data Streaming: Experience with streaming platforms such as Apache Kafka or Spark Streaming.Python Data Engineering Experience is Plus Financial Services Context: Familiarity with financial data processing, ensuring scalability, security, and compliance requirements. Leadership in Data Engineering: Proven ability to work collaboratively with teams to develop robust data pipelines and architectures. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ 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

TransUnion's Job Applicant Privacy Notice What We'll Bring We are India’s leading credit information company with one of the largest collections of consumer information. We aim to be more than just a credit reporting agency. We are a sophisticated, global risk information provider striving to use information for good. We take immense pride in playing a pivotal role in catalyzing the BFSI industry in the country. We got here by tapping into our excitement and passion of wanting to make a difference in the lives of our clients and consumers. What is excitement and passion for us? We define it as a blend of curiosity, ability to unlearn and yet continuously learn, able to connect with meaning and finally the drive to execute ideas till the last mile is achieved. This passion helps us focus on continuous improvement, creative problem solving and collaboration which ensures delivery excellence. What You'll Bring The incumbent will play a vital role in setting up data analytics technology practice in TransUnion UK. This practice will be having functions like Data Engineering, Data Research, Data Visualization, Analytics Systems and Innovation Culture. This role will be a bridge between GT and other verticals like ISG and DSA. Accelerating and transforming the Data Analytics Technology by helping TransUnion build more trust using advanced data analytics.Setup practice and this practice will include functions like Data Engineering, Data Analytics Research, Data Visualization, Analytics Systems and Innovation Culture Working closely with the CIO to plan the data analytics technology roadmap for the next 5 years Work with key stakeholders to ensure alignment of the objectives across business units and the action plans required to achieve the same Work with GT and other Leadership and align functions and roadmap to achieve business goals Ensure cloud readiness of data and systems and plan the roadmap for analytics in the cloud Incumbent will lead the development of big data capabilities and utilization as well as the coordination Setup and manage a team of Data Engineers, ML Engineers, Data Analysts, Data Admins and Architects Managing budgets, projects, people, stakeholders, vendors is an integral part of this role Prepare the Machine learning roadmap with Auto ML, ML Pipelines and Advanced Analytical tools Local Analytical system (capacity planning, costing, setup, tuning, management, user management, operations, cloud readiness planning) Impact You'll Make 5+ years of IT Experience with 4+ relevant experience in Data Analytics Technology Experience on Big Data Technology Stack like hive, spark, pig, sqoop, kafka, flume etc. Experience on Data Architecture and Data Governance Experience in managing a team of Data Engineers, ML Engineers, Data Analysts Experience in costing, capacity planning, architecture of advance data analytics ecosystem Experience in working across geographies, regions, countries Experience in Data Engineering, Data Visualization and Data Analytics tech stack This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Sr Analyst, Data Science and Analytics Show more Show less

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems Apply fundamental knowledge of programming languages for design specifications. Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging Serve as advisor or coach to new or lower level analysts Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 5-7 years of relevant experience in design development using ETL Tools - AB-Initio / MS SQL Server Technology Must have worked on Various Ab-Initio Products like EME/Express-IT and Experience in Continuous Flows. Must be Familiar with ETL Concepts and good on Implementing them . Knowledge of NoSQL Databases/Hadoop-Hive, Spark will be added advantage Experience in systems analysis and programming of software applications Experience in managing and implementing successful projects Working knowledge of consulting/project management techniques/methods Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ 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

Job Title: Lead Data Engineer – C12 / Assistant Vice President (India) 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) 8 to 12 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 T echnical 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 ------------------------------------------------------ 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

Job Summary The Chapter Lead Backend development is a role is a hands-on developer role focusing on back-end development and is accountable for people management and capability development of their Chapter members. Responsibilities in detail are: Responsibilities Oversees the execution of functional standards and best practices and provide technical assistance to the members of their Chapter. Responsible for the quality of the code repository where applicable. Maintain exemplary coding standards within the team, contributing to code base development and code repository management. Perform code reviews to guarantee quality and promote a culture of technical excellence in Java development. Function as a technical leader and active coder, setting and enforcing domain-specific best practices and technology standards. Allocate technical resources and personal coding time effectively, balancing leadership with hands-on development tasks. Maintain a dual focus on leadership and hands-on development, committing code while steering the chapter's technical direction. Oversee Java backend development standards within the chapter across squads, ensuring uniform excellence and adherence to best coding practices. Harmonize Java development methodologies across the squad, guiding the integration of innovative practices that align with the bank’s engineering strategies. Advocate for the adoption of cutting-edge Java technologies and frameworks, driving the evolution of backend practices to meet future challenges. Strategy Oversees the execution of functional standards and best practices and provide technical assistance to the members of their Chapter. Responsible for the quality of the code repository where applicable. Acts as a conduit for the wider domain strategy, for example technical standards. Prioritises and makes available capacity for technical debt. This role is around capability building, it is not to own applications or delivery. Actively shapes and drives towards the Bank-Wide engineering strategy and programmes to uplift standards and steer the technological direction towards excellence Act as a custodian for Java backend expertise, providing strategic leadership to enhance skill sets and ensure the delivery of high-performance banking solutions. Business Experienced practitioner and hands on contribution to the squad delivery for their craft (Eg. Engineering). Responsible for balancing skills and capabilities across teams (squads) and hives in partnership with the Chief Product Owner & Hive Leadership, and in alignment with the fixed capacity model. Responsible to evolve the craft towards improving automation, simplification and innovative use of latest market trends. Collaborate with product owners and other tech leads to ensure applications meet functional requirements and strategic objectives Processes Promote a feedback-rich environment, utilizing internal and external insights to continuously improve chapter operations. Adopt and embed the Change Delivery Standards throughout the lifecycle of the product / service. Ensure role, job descriptions and expectations are clearly set and periodic feedback provided to the entire team. Follows the chapter operating model to ensure a system exists to continue to build capability and performance of the chapter. Chapter Lead may vary based upon the specific chapter domain its leading. People & Talent Accountable for people management and capability development of their Chapter members. Reviews metrics on capabilities and performance across their area, has improvement backlog for their Chapters and drives continual improvement of their chapter. Focuses on the development of people and capabilities as the highest priority. Risk Management Responsible for effective capacity risk management across the Chapter with regards to attrition and leave plans. Ensures the chapter follows the standards with respect to risk management as applicable to their chapter domain. Adheres to common practices to mitigate risk in their respective domain. Design and uphold a robust risk management plan, with contingencies for succession and role continuity, especially in critical positions Governance Ensure all artefacts and assurance deliverables are as per the required standards and policies (e.g., SCB Governance Standards, ESDLC etc.). Regulatory & Business Conduct Ensure a comprehensive understanding of and adherence to local banking laws, anti-money laundering regulations, and other compliance mandates. Conduct business activities with a commitment to legal and regulatory compliance, fostering an environment of trust and respect. Key stakeholders Chapter Area Lead Sub-domain Tech Lead Domain Architect Business Leads / Product owners Other Responsibilities Champion the company's broader mission and values, integrating them into daily operations and team ethos. Undertake additional responsibilities as necessary, ensuring they contribute to the organisation's strategic aims and adhere to Group and other Relevant policies. Skills And Experience Hands-on Java Development Leadership in System Architecture Database Proficiency CI / CD Container Platforms – Kubernetes / OCP / Podman Qualifications Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field, with preference given to advanced degrees. 10 years of professional Java development experience, including a proven record in backend system architecture and API design. At least 5 years in a leadership role managing diverse development teams and spearheading complex Java projects. Proficiency in a range of Java frameworks such as Spring, Spring Boot, and Hibernate, and an understanding of Apache Struts. Proficient in Java, with solid expertise in core concepts like object-oriented programming, data structures, and complex algorithms. Knowledgeable in web technologies, able to work with HTTP, RESTful APIs, JSON, and XML Expert knowledge of relational databases such as Oracle, MySQL, PostgreSQL, and experience with NoSQL databases like MongoDB, Cassandra is a plus. Familiarity with DevOps tools and practices, including CI/CD pipeline deployment, containerisation technologies like Docker and Kubernetes, and cloud platforms such as AWS, Azure, or GCP. Solid grasp of front-end technologies (HTML, CSS, JavaScript) for seamless integration with backend systems. Strong version control skills using tools like Git / Bitbucket, with a commitment to maintaining high standards of code quality through reviews and automated tests. Exceptional communication and team-building skills, with the capacity to mentor developers, facilitate technical skill growth, and align team efforts with strategic objectives. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Ability to work effectively in a fast-paced, dynamic environment. About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. Show more Show less

We are looking for an immediate joiner and experienced Big Data Developer with a strong background in Kafka, PySpark, Python/Scala, Spark, SQL, and the Hadoop ecosystem. The ideal candidate should have over 5 years of experience and be ready to join immediately. This role requires hands-on expertise in big data technologies and the ability to design and implement robust data processing solutions. Responsibilities Design, develop, and maintain scalable data processing pipelines using Kafka, PySpark, Python/Scala, and Spark. Work extensively with the Kafka and Hadoop ecosystem, including HDFS, Hive, and other related technologies. Write efficient SQL queries for data extraction, transformation, and analysis. Implement and manage Kafka streams for real-time data processing. Utilize scheduling tools to automate data workflows and processes. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality and integrity by implementing robust data validation processes. Optimize existing data processes for performance and scalability. Requirements Experience with GCP. Knowledge of data warehousing concepts and best practices. Familiarity with machine learning and data analysis tools. Understanding of data governance and compliance standards. This job was posted by Arun Kumar K from krtrimaIQ Cognitive Solutions. Show more Show less