14684 Storage Jobs - Page 33

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your Primary Responsibilities Include Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Preferred Education Master's Degree Required Technical And Professional Expertise Experience with Apache Spark (PySpark): In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data Technologies: Familiarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Strong proficiency in Python: Expertise in Python programming with a focus on data processing and manipulation. Data Processing Frameworks: Knowledge of data processing libraries such as Pandas, NumPy. SQL Proficiency: Experience writing optimized SQL queries for large-scale data analysis and transformation. Cloud Platforms: Experience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred Technical And Professional Experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing Show more Show less

Who We Are We are an organisation that exists to drive progress. That's the “red thread” that connects everyone at The Economist Group (TEG). Our businesses share a devotion to innovation, independence and rigour in their fields of expertise. We empower people to understand and tackle the critical challenges and changes facing the world. Our analytical rigour, global expertise and evidence-based insights enable individuals and organisations to make sense of these shifts and chart a course through them. We deliver analysis and insights in many formats to subscribers and clients in 170 countries through our four businesses, The Economist, Economist Impact, Economist Intelligence and Economist Education, which uphold our global reputation for excellence and integrity. Our team of 200 colleagues is at the heart of The Economist Group’s digital-first agenda. Together, we are delivering user-friendly, high-quality digital products that bring data, intelligence and analysis to our growing global audiences across all our four businesses. Our team develops cutting-edge products that provide valuable insights and analysis to business and government leaders worldwide. Whether it involves creating new products for the Economist Intelligence Unit, conceptualising mobile applications that deliver personalised content, or enhancing our flagship website, economist.com, the Technology team plays a crucial role in shaping how we attract, convert, engage, and retain our 1.2 million subscribers. The Technology team collaborates closely with other teams to engineer innovative solutions that cater to the evolving needs of our subscribers. This includes leveraging advanced technologies and methodologies to enhance the acquisition of new subscribers, optimise conversion rates, deliver engaging user experiences, and ensure long-term subscriber loyalty. The Role: We are recruiting data engineers across all levels to join the AI & Data engineering group. This group will build the data platform and products to support the analytics, insights and data science needs for our core subscription business. Data has always been at the heart of the Economist Group, and ultimately we aim to help the business make data driven judgements based on real time, actionable insights How You Will Contribute In This Role: Work with data product managers, analysts, and data scientists to build data and ML pipelines, data warehouse/data lake-house for analytics, reporting and prediction. Build pipelines and data lakehouse/warehouse with data feeds/APIs using Lakehouse, Snowflake, Apache Airflow, Amazon EMR on Snowflake and AWS data lakehouse. Work with data quality and observability tools, CI/CD frameworks to maintain data engineering excellence. Work on data modelling, lineage and data governance Advocate for data architecture across the organisation What We’re Looking For: 10+ years of professional experience of designing, building data pipelines and managing data platforms (including ETL, ELT and lambda architectures), using technologies such as Apache Airflow, Amazon Athena, AWS Glue, Amazon EMR, or other equivalent. Expert level knowledge of both SQL and programming (Python, Scala, or Java) Experience with data technologies such as object storage (s3, hdfs), lakehouse (Iceberg or equivalent), data warehousing (Snowflake or equivalent), orchestration (Airflow or equivalent), data processing frameworks (Pyspark, pandas or equivalent) data modelling, lineage and governance tools. Professional experience in cloud platforms (AWS strongly preferred), such as serverless functions, API gateway, relational and NoSQL databases, and caching. Experience with IaC, CI/CD, containerization, and DevOps. Experience in leading / mentoring data engineering teams. Experience in working in teams with data scientists and ML engineers, for building ML pipelines for recommendation, customer lifetime value and propensity models. An advanced degree in software / data engineering, computer / information science, or a related quantitative field or equivalent work experience. Strong verbal and written communication skills and ability to work well with a wide range of stakeholders. Strong ownership, scrappy and biased for action. Benefits We offer excellent benefits including an incentive scheme, generous annual and parental leave policies, volunteering days and well-being support throughout the year, as well as free access to all Economist content. Country specific benefits are also offered. Our Values Our values are a collective set of beliefs and behaviours that strengthen The Economist Group's purpose and demonstrate where we want to be as an organisation. They reflect on our mission to pursue progress for individuals, organisations and the world. Independence We are not bound to any party or interest and encourage exploration and free-thinking. We champion freedom, both within our organisation and around the world. Integrity We are bold in our efforts to uncover the truth and stand up for what we believe in. We inspire trust through our rigour, fact-checking and transparency. Excellence We aspire to the highest standards in all we do. We are ambitious and inquisitive in our pursuit of continuous progress and innovation. Inclusivity We value diversity in thought and background and encourage healthy debate with a breadth of perspectives. We treat our colleagues and customers fairly and respectfully. Openness We foster a collaborative and empathetic culture conducive to the interests, wit and initiative of our colleagues. New ideas are our lifeblood. The Economist Group values diversity. We are committed to equal opportunities and creating an inclusive environment for all our colleagues and potential colleagues regardless of ethnic origin, national origin, gender, gender identity, race, colour, religious beliefs, disability, sexual orientation, age, marital status or any other status. Business Intro’s (Expanded) The Economist Through rigorous reporting, in-depth analysis and global perspective, The Economist explains today’s most important events and seeks to discern the trends that will shape tomorrow. At the core of everything we do is our independence, underpinned by our editorial culture and governance structure. With subscribers in more than 170 countries, The Economist is one of the most widely recognised and well-read current affairs publications in the world. In addition to the weekly print and digital editions and Economist.com, The Economist publishes Espresso, a daily news app; World in Brief, a daily news and analysis digest updated around the clock; numerous newsletters and podcasts including The Intelligence, our daily news podcast. Technology Our team of 200 colleagues is at the heart of The Economist Group’s digital-first agenda. Together, we are delivering user-friendly, high-quality digital products that bring data, intelligence and analysis to our growing global audiences across all our four businesses. Our team develops cutting-edge products that provide valuable insights and analysis to business and government leaders worldwide. Whether it involves creating new products for the Economist Intelligence Unit, conceptualising mobile applications that deliver personalised content, or enhancing our flagship website, economist.com, the Technology team plays a crucial role in shaping how we attract, convert, engage, and retain our 1.2 million subscribers. The Technology team collaborates closely with other teams to engineer innovative solutions that cater to the evolving needs of our subscribers. This includes leveraging advanced technologies and methodologies to enhance the acquisition of new subscribers, optimise conversion rates, deliver engaging user experiences, and ensure long-term subscriber loyalty. Benefits What we offer We offer excellent benefits including an incentive programme, generous annual and parental leave policies, volunteering days and well-being support throughout the year, as well as free access to all Economist content. Country specific benefits are also offered. Our Values Our values are a collective set of beliefs and behaviours that strengthen The Economist Group's purpose and demonstrate where we want to be as an organisation. They reflect on our mission to pursue progress for individuals, organisations and the world. Independence We are not bound to any party or interest and encourage exploration and free-thinking. We champion freedom, both within our organisation and around the world. Integrity We are bold in our efforts to uncover the truth and stand up for what we believe in. We inspire trust through our rigour, fact-checking and transparency. Excellence We aspire to the highest standards in all we do. We are ambitious and inquisitive in our pursuit of continuous progress and innovation. Inclusivity We value diversity in thought and background and encourage healthy debate with a breadth of perspectives. We treat our colleagues and customers fairly and respectfully. Openness We foster a collaborative and empathetic culture conducive to the interests, wit and initiative of our colleagues. New ideas are our lifeblood. The Economist Group values diversity. We are committed to equal opportunities and creating an inclusive environment for all our colleagues and potential colleagues regardless of ethnic origin, national origin, gender, gender identity, race, colour, religious beliefs, disability, sexual orientation, age, marital status or any other status. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Data n’ Analytics – Data Strategy - Manager, Strategy and Transactions EY’s Data n’ Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors. The opportunity We’re looking for Manager - Data Strategy. The main objective of the role is to develop and articulate a clear and concise data strategy aligned with the overall business strategy. Communicate the data strategy effectively to stakeholders across the organization, ensuring buy-in and alignment. Establish and maintain data governance policies and procedures to ensure data quality, security, and compliance. Oversee data management activities, including data acquisition, integration, transformation, and storage. Develop and implement data quality frameworks and processes.The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, product and business subject matter experts (SMEs), back-end developers and other solution architects and is also on-shore facing. Discipline Data Strategy Key Skills Strong understanding of data models (relational, dimensional), data warehousing concepts, and cloud-based data architectures (AWS, Azure, GCP). Proficiency in data analysis techniques (e.g., SQL, Python, R), statistical modeling, and data visualization tools. Familiarity with big data technologies such as Hadoop, Spark, and NoSQL databases. Client Handling and Communication, Problem Solving, Systems thinking, Passion of technology, Adaptability, Agility, Analytical thinking, Collaboration Skills And Attributes For Success 10-12 years of total experience with 8+ years in Data Strategy and Architecture field Solid hands-on 6+ years of professional experience with designing and architecting of data warehouses/ data lakes on client engagements and helping create enhancements to a data warehouse Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP) 5+ years’ experience in Azure database offerings [ Relational, NoSQL, Datawarehouse ] 5+ years experience in various Azure services preferred – Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks Minimum of 8 years of hands-on database design, modelling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse Knowledge and direct experience using business intelligence reporting tools (Power BI, Alteryx, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes etc.) Strong creative instincts related to data analysis and visualization. Aggressive curiosity to learn the business methodology, data model and user personas. Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends. Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management Willingness to mentor team members Solid analytical, technical and problem-solving skills Excellent written and verbal communication skills Strong project and people management skills with experience in serving global clients To qualify for the role, you must have Master’s Degree in Computer Science, Business Administration or equivalent work experience. Fact driven and analytically minded with excellent attention to details Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data Relevant work experience of minimum 12 to 14 years in a big 4 or technology/ consulting set up Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of the clients Willingness to travel extensively and to work on client sites / practice office locations Strong experience in SQL server and MS Excel plus atleast one other SQL dialect e.g. MS Access\Postgresql\Oracle PLSQL\MySQLStrong in Data Structures & Algorithm Experience of interfacing with databases such as Azure databases, SQL server, Oracle, Teradata etc Preferred exposure to JSON, Cloud Foundry, Pivotal, MatLab, Spark, Greenplum, Cassandra, Amazon Web Services, Microsoft Azure, Google Cloud, Informatica, Angular JS, Python, etc. What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Introduction n this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You’ll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you’ll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you’ll tackle obstacles related to database integration and untangle complex, unstructured data sets. In This Role, Your Responsibilities May Include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour’s. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Preferred Education Master's Degree Required Technical And Professional Expertise Expertise in designing and implementing scalable data warehouse solutions on Snowflake, including schema design, performance tuning, and query optimization. Strong experience in building data ingestion and transformation pipelines using Talend to process structured and unstructured data from various sources. Proficiency in integrating data from cloud platforms into Snowflake using Talend and native Snowflake capabilities. Hands-on experience with dimensional and relational data modelling techniques to support analytics and reporting requirements Preferred Technical And Professional Experience Understanding of optimizing Snowflake workloads, including clustering keys, caching strategies, and query profiling. Ability to implement robust data validation, cleansing, and governance frameworks within ETL processes. Proficiency in SQL and/or Shell scripting for custom transformations and automation tasks Show more Show less

Company Overview Domo's AI and Data Products Platform lets people channel AI and data into innovative uses that deliver a measurable impact. Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI. Position Summary We are seeking a highly skilled Database Administrator (DBA) to join our team in India and manage critical components of our SaaS platform, leveraging the power of AWS and other Cloud Data Warehouse providers. The ideal candidate will have a deep understanding of Data Warehouses, data modeling, and performance optimization techniques, coupled with a strong grasp of cloud technologies. This role requires a strong blend of technical expertise, problem-solving skills, and a passion for data. You'll be working in a fast-paced environment, collaborating with cross-functional teams to deliver innovative data solutions. Key Responsibilities Data Modeling and Engineering: Design and implement efficient data models to support business requirements. Create and maintain data pipelines to ensure data integrity and consistency. Optimize data storage and indexing strategies to improve query performance. Collaborate with data engineers and analysts to design and implement data solutions. Cloud Integration: Integrate Cloud Data Warehouses (CDWs) with AWS and Azure services to leverage their capabilities. Configure and manage cloud resources (VMs, storage, networks) to support CDWs. Implement automated deployment and provisioning processes using infrastructure as code (IaC) tools. Monitor cloud costs and optimize resource utilization. Performance Optimization: Analyze query performance and identify bottlenecks. Tune queries and optimize database configurations to improve performance. Implement caching strategies to reduce query execution time. Monitor resource utilization and adjust resource allocations as needed. Security and Compliance: Implement robust security measures to protect sensitive data. Monitor and enforce security policies and procedures. Conduct regular security audits and vulnerability assessments. Ensure compliance with industry standards and regulations, including GDPR, HIPAA, and SOC 2. Backup and Recovery: Implement and maintain backup and recovery strategies. Test recovery procedures to ensure data integrity. Implement disaster recovery plans to minimize downtime in case of failures. Troubleshooting and Support: Diagnose and resolve database issues. Provide technical support to users. Collaborate with other teams to ensure smooth operations. Job Requirements Bachelor's degree in computer science, information systems or comparable experience. 5+ years of experience as a Database Administrator; Strong understanding of cloud data warehouses, features, and best practices; Proficiency in SQL and Python; Experience with data modeling and ETL processes; Knowledge of cloud platforms (AWS and Azure) and their services; Strong analytical and problem-solving skills; Excellent communication and interpersonal skills; Ability to work independently and as part of a team; Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation; Understanding of security best practices and compliance standards; Availability to provide on-call support and handle out-of-band requests; Familiarity with a wide range of database admin. LOCATION: Pune, Maharashtra, India India Benefits & Perks Medical insurance provided Maternity and paternity leave policies Baby bucks: a cash allowance to spend on anything for every newborn or child adopted “Haute Mama”: cash allowance for maternity wardrobe benefit (only for women employees) Annual leave of 18 days + 10 holidays + 12 sick leaves Sodexo Meal Pass Health and Wellness Benefit One-time Technology Benefit: cash allowance towards the purchase of a tablet or smartwatch Corporate National Pension Scheme Employee Assistance Programme (EAP) Marriage leaves up to 3 days Bereavement leaves up to 5 days Domo is an equal opportunity employer. Show more Show less

The Opportunity Avantor is looking for a dynamic, forward-thinking, and experienced Sr. Engineer - Global Networking, who will be responsible for delivering results against some of the most complex business and technology initiatives. This role will be a full-time position based out of IND- Coimbatore. If you are passionate about solving complex challenges and driving innovation – let’s talk! Our organization is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Job Description Helps design, document, build, deploy and support complex compute solutions in support of enterprise application development and production teams. Identifies and recommends configuration improvements, process improvements, automation opportunities, and upcoming technologies. Provides next level of support, training and mentors for administration team members. Configures disaster recovery software for local and global DR scenarios. Collaborates with other teams to resolve technical problems. Works with manager to resolve client issues. Helps configure and migrate clients to public cloud services. Plans, schedules and installs system upgrades and patches. Adheres to and complies with company change management processes. Supports manager in streamlining processes for enterprise level service delivery. Integration of new technologies to improve service offerings and better support the business. Performs other duties as assigned Experience with unified computing solutions (Cisco UCS) is a plus Experience supporting VMWare clusters, experience creating VMWare clusters is a plus Experience configuring and troubleshooting backup solutions, TSM is a plus Experience with storage platforms, including SAN and NAS Experience with VDI/Citrix is a plus Experience with agile development is a plus MAJOR JOB DUTIES AND RESPONSIBILITIES (List in order of importance) Network Monitoring: Monitor the Network health of Data Centers, high priority sites and remote Avantor sites. Network operations: Work closely with multiple internal teams and end users in resolving any network issues reported globally. Work with vendor: Work with Internet Service providers and data center management teams in monitoring, resolving and following up on issues reported. Handle Escalation: Take care of escalations from the Level 1 teams. Network Standard: Be a lead in analyzing the current network setup and improve them to meet the standards. Next-Gen Network: Utilize the Network Expertise in improvising the Avantor`s Network Infrastructure to be next-gen. Lead Technical Support: Optimize and make a positive employee support experience. Partner with Security & Compliance: Drive core security and compliance projects to ensure we're protecting our information assets Excel at communication: Be a clear & timely communicator to our associates & leadership, about the state and strategy of Core IT Services & Operations QUALIFICATIONS (Education/Training, Experience And Certifications) Bachelor’s degree or equivalent experience Minimum 3 years’ experience working with information technology, with emphasis on wide area data networks Experience in large network environments (more than 1,000 employees & 50+ sites). Experience dealing directly with major telecommunication carrier(s) and outsourcing service provider(s) Familiarity with wide area data network environment is a plus. CCNA or other advanced network and infrastructure professional certifications preferred KNOWLEDGE SKILLS AND ABILITIES (Those necessary to perform the job competently) Skills: Thorough understanding of technology as it relates to telecommunications & data communications, data centers, network architecture, security, and troubleshooting. Must have worked on Monitoring and Supporting internal/external customer networks. Must have excellent troubleshooting skill. Good experience with Networking products of Cisco, F5, Palo Alto, Viptela, Meraki, and Aruba. Very good understanding of service provider and telecommunications carrier business. Good experience with Monitoring tools such as SolarWinds, and IP address Management. Good communication skill required to work with internal/external customers of Avantor. Additional qualities: Desire to focus on and please the customer, ability to understand requests from the customer’s point of view Disclaimer The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer. Why Avantor? Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science. The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor. We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today! EEO Statement We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law. If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. 3rd Party Non-solicitation Policy By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation Show more Show less

A career in our Financial Due Diligence practice, within Deals Transaction Services, will provide you the opportunity to help organisations realise the potential of mergers, acquisitions and divestitures and capital markets. In short, we help some of the world’s leading companies originate, create, execute, and realise value from deals. Through data driven insights we help our clients move in the right direction ensuring maximum value for their company. Our team assist organisations with both buy side and sell side due diligence. As part of our team, you’ll help us provide both corporate and financial buyers with peace of mind by analysing and validating all the financial, commercial, operational and strategic assumptions being made. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Responsibilities As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal development. Analyse complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address sub-standard work or work that does not meet firm's/client's expectations. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. Uphold the firm's code of ethics and business conduct. Primary Responsibilities Of The Role Pre-Deal (IT Due Diligence): OIT Function Assessment ▪Support clients in developing key IT strategies for M&A engagements with a focus on IT due diligence across the IT function including IT applications and data, IT infrastructure, IT security and IT organisation (including IT vendors). ▪This involves evaluating IT landscapes to identify synergies and dis-synergies, understanding the business's IT transformation vision, and identifying technical inefficiencies. ▪Propose recommendations for the target IT landscape, identify IT-related opportunities and risks, and formulate strategies to mitigate them. oIT spend Analysis: Conduct IT spend analysis, including vendor contract reviews to uncover hidden transactional costs, and provide recommendations for cost efficiencies. Perform IT benchmarking for key performance indicators using insights from previous projects and research databases. oSubject Matter Expertise: Provide basic subject matter expertise across one or more of the following critical components of IT landscape: ▪ERP assessment and separation/ integration planning (e.g., SAP etc.) ▪Enterprise Architecture ▪Infrastructure (Servers, Data Center, Storage, Network, End User Computing) ▪Cloud ▪Security and Access Management (Cybersecurity Services, Cyber maturity assessment framework leveraging NIS2 framework) ▪IT Financials in M&A and Transformation Scenarios (IT Opex / Capex Cost Modeling) Post-Deal (Integration/Separation): oIntegration and Separation Planning: Provide support for IT integration and separation activities post-deal. This includes planning and readiness for program, integration, and transformation management offices, as well as Day 1/100 readiness planning. oVendor Management: Assist in vendor evaluation and selection, bid formulation, and ongoing vendor management to ensure smooth integration or separation processes. oDigital and Technology Transformation: Advise on large-scale transformation engagements by identifying, designing, and implementing creative business and technology solutions. Plan and implement IT integration, separation, and transformation projects, providing advisory and PMO support for enterprise systems like ERP, CRM, and Big Data. oTechnology Implementation: Guide projects involving enterprise application integration and transformation across various components of the IT landscape, ensuring comprehensive solutions are delivered. Additional Requirements: Critical problem solving and troubleshooting skills with the ability to exercise mature judgment. Ability to use tools outside of traditional methods such as MS excel, PowerPoint, and enable smart working. Framing issues and breaking it down into hypotheses to be solved Strong oral and written communication skills Core consulting skills including (MS Visio, PowerPoint, Excel, Project), story boarding etc. Improving internal processes and promoting knowledge sharing in the team. Flexibility to travel if required. Show more Show less

Description Amazon is looking for exceptional, motivated software engineers to work in the Kindle Reader organization. As a Software Engineer you will take an exciting and challenging role on a team that is innovating on the Reading experience on Kindle mobile devices and services for millions of Amazon customers. You will work with world-class engineers, business leaders, and other talented engineering teams while you design, architect, and code for Kindle Reader iOS, Android app and E-Reader software. You will join a team that is developing a platform on which many other Amazon partner teams innovate their reader experiences. As a software engineer, you will think big and drive architecture decisions Kindle Library, cross OS development, app UX experience and service integrations to deliver awesome reader experience. We are looking for a passionate, hard-working, and talented software engineer who has experience building mission critical, high volume applications that customers love. By submitting your application here, you can apply once to be considered for multiple Software Engineer openings across various Amazon teams. If you are successful in passing through the initial application review and assessment, you will be asked to submit your career and personal preferences so that our dedicated recruiters can match you to the right role based on these preferences. 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 About The Team As a engineer you will have opportunity to work with: The foundational tech stack for syncing and storing structured annotations (i.e. text sticky notes, highlights, bookmarks). Sync CX features such as MRPR (most recent page read CX) and FPR (furthest page read). The core sync architecture driving our vision to be a federated, scalable, “plug and play” sync service for any Kindle and Books feature requiring sync. Notetaking Sync: The effective back-end for handwritten notetaking (via Kindle Scribe), this team supports handwritten note sync and storage, data integrity, privacy/security for notetaking, and architectural improvements. Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent 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 - Tamil Nadu Job ID: A2896965 Show more Show less

Key Responsibilities Review and verify accompanying documentation for regulatory samples received from authorities. Coordinate with officials for any clarifications required. Categorize samples upon receipt and assign relevant testing parameters in accordance with FSSR, surveillance plans, or specific instructions from regulatory bodies. Ensure that all testing procedures are performed strictly in accordance with approved protocols and regulatory standards. Conduct verification and authorize final reports as per the requirements of FSSR, clearly indicating compliance or non-compliance with applicable food standards. Oversee proper handling, storage, retention, and timely disposal of regulatory samples in line with SOPs. Ensure turnaround times (TAT) are met as per requirements for import, legal, and surveillance samples. Manage timely uploading of completed reports onto the Infolnet portal following analysis. Collaborate with Microbiology and Instrumentation teams to ensure timely testing and integrated reporting. Participate in the submission of regulatory data, including monthly testing summaries, feasibility responses, and other official communications as required by FSSAI or FDA. Supervise laboratory personnel engaged in food testing activities and ensure adherence to quality protocols. Review test results generated by junior analysts and technicians for completeness and accuracy. Train and mentor team members on regulatory testing methodologies and best practices. Stay updated with changes in FSSAI guidelines, methods, and relevant national/international food laws to ensure continuous compliance. Qualifications Educational Background: Master’s degree in Chemistry (Analytical, Organic, or Inorganic), B.Tech in Food Technology, or any other degree with specialization in Food Technology. Experience: 3-5 years of relevant experience of working as a FSSAI Food Analyst Required Skills Analytical Skills: Proficiency in conducting chemical and microbiological analyses. Time Management: Ability to manage multiple tasks efficiently and meet deadlines. Attention to Detail: Meticulous in documentation and adherence to protocols. Team Collaboration: Effective communication and teamwork abilities Preferred Skills Familiarity with laboratory instruments such as HPLC, GC-MS, and ICP-MS. Knowledge of food safety standards and regulations (e.g., FSSAI guidelines). Experience with Laboratory Information Management Systems (LIMS). Show more Show less

Job Title: ERP-Business Analyst (Microsoft Dynamics – 365) Locations: Vadodara About Newen Systems Newen Systems is India’s leading power conversion and energy storage solutions provider, driving energy transition and grid stability. Newen’s state of the art manufacturing facilities at Vadodara is at the heart of driving innovation and GW scale energy revolution for the world. With 3,000+ MW of battery storage deployed across 65+ countries in all seven continents, Newen Systems in technical collaboration with Dynapower is delivering BESS, Green H2, Microgrid and e-mobility infrastructure solutions to customers in India and around the world. Newen’s cutting edge energy management system is helping customers maximize their energy investment in ways it was not imagined earlier. Newen is uniquely positioned globally to provide EMS and PCS under one roof enabling customers do integration test within factory rather than on site saving them time and money. As we expand, we are looking for intrapreneurial talent who have the passion to drive energy transition and deliver solutions to drive sustainability at global scale. Job Summary: Newen is looking for dynamic go-getters who believe in their capability to create a positive impact and wealth for themselves. We are seeking a highly skilled and experienced D365 Finance and Operations Consultant to join our team. The ideal candidate will have a strong background in finance and operations, with a deep understanding of Microsoft Dynamics 365. This role involves working closely with various department to analyse their business processes, design and implement solutions, and provide support. He should have knowledge on Accounts Payable, Receivable, Fixed Assets, General Ledger, Master Planning, Production control, Project Management and accounting, Procurement and sourcing module of D365 Finance and operations. Key Tasks: Analyse business processes and identify opportunities for improvement using D365 Finance and Operations. Design and implement D365 Finance and Operations solutions to meet department’s requirements. Provide training and support on D365 Finance and Operations functionalities. Collaborate with cross-functional teams to ensure successful project delivery. Develop and maintain documentation for implemented solutions. Stay up to date with the latest D365 Finance and Operations features and updates. Skills Experience of working with Microsoft Dynamics 365 Finance and Operations. Strong understanding of finance and accounting principles. Excellent problem-solving and analytical skills. Ability to work independently and as part of a team. Strong communication and interpersonal skills. Microsoft Dynamics 365 certifications are a plus. Qualifications: Bachelor’s degree in computer Science & engineering, Finance, Accounting or a related field. Experience: Minimum of 4 years of experience working with Microsoft Dynamics 365 Finance and Operations. Show more Show less

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. Job Summary: Supply chain Finance is responsible for activities in Manufacturing Plant, Costing, Inventory and Logistics Management. Setting up of Expense budget, Monthly rolling forecast and driving actual to meet the Forecast for manufacturing Plant. Review of Inbound/Outbound Freight rates and budgeting/Forecasting actual Freight Spends. Material Cost Management across all products and Material ledger Month closure. Analyzing Variance against Budget, Forecast and actuals. Helping business team thru Cost variance analysis against Plan vs Actual. Perform period closing activities by monthly Provision entries, Payment processing and validation checks post-closing activities. Working Capital cost (WCC) Management thru Inventory Control and Aged inventory Management. Works on complex Analysis to provide insights - such as restructuring projects, new plant set ups. Quarterly Physical Inventory Stock Count and inventory adjustments in-case of any variance. Driving Various cost Optimization Strategic Initiatives. Verification of Cost accounting records, adhere to cost accounting principles and complying to cost audit process. Key Requirements MBA Finance with minimum 6+ years of post-qualification experience. Proficient in SAP (FI/CO/MM Modules), Advanced Excel, PPT. You have excellent communication, negotiation, and stakeholder management skills. Have strong analytical skills, comfortable dealing with numerical data, and have strong attention to details. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Show more Show less

Job Summary We are seeking a skilled and detail-oriented Food Technologist to join our central production unit. The ideal candidate will be responsible for developing and standardizing recipes, ensuring food safety compliance, enhancing shelf life, overseeing quality control, and supporting innovation in product development. Key Responsibilities Recipe Development & Standardization: Assist in developing and refining food products and recipes in alignment with brand standards. Standardize formulations for consistency, scalability, and cost efficiency. Quality Assurance: Monitor and maintain hygiene, food safety, and quality standards across the production line. Conduct regular quality checks (raw materials, in-process, and finished goods). Food Safety & Compliance: Ensure compliance with FSSAI regulations and other applicable food safety norms. Conduct internal audits, maintain documentation, and train production staff on food safety protocols. Shelf-Life Testing & Packaging: Conduct trials for shelf-life extension and recommend appropriate packaging solutions. Coordinate with packaging vendors for compliance and suitability. Process Optimization: Support the implementation of efficient cooking, chilling, and storage processes. Recommend improvements in food production processes for better yield and quality. Vendor Management: Evaluate and approve raw materials and ingredients from new and existing suppliers. Innovation Support: Collaborate with R&D and marketing teams on new menu/product development. Show more Show less

About The Opportunity Join a fast-growing innovator in the Artificial Intelligence & Computer-Vision Solutions sector that builds production-grade GenAI and ML platforms for industrial automation, smart-city analytics, and digital inspection. Working on-site at our Pune & Nashik R&D hubs, you’ll transform cutting-edge research in generative vision models into reliable software and data pipelines that power real-world camera and sensor deployments. Role & Responsibilities Design, implement, and optimise end-to-end GenAI/ML use-cases—from data ingestion through model training, fine-tuning, and low-latency inference. Develop Python back-end services that integrate vision-centric LLMs and diffusion models into scalable REST/GraphQL or gRPC APIs. Embed ML training & inference workflows into Azure ML pipelines and schedule jobs across AKS clusters for high throughput and cost efficiency. Collaborate with Data Scientists to profile, prune, and quantise models for edge and cloud deployments, ensuring Build observability & automation tools (logging, alerting, auto-retraining triggers) to boost reliability, performance, and self-healing. Champion engineering excellence, enforcing code-review standards, Git branching strategy, and reusable CI/CD templates. Skills & Qualifications Must-Have 1–2 yrs professional experience in GenAI / ML projects with a focus on computer vision (classification, detection, segmentation). Strong Python development skills plus basic PySpark for data wrangling. Practical knowledge of Azure Machine Learning, Data Lake / Blob Storage, and SQL/NoSQL stores. Familiarity with model versioning, experimentation tracking, and MLOps best practices. Comfort with Git-based workflows and peer code reviews. Demonstrated ability to learn new frameworks rapidly and ship incremental value. Preferred Exposure to Azure Kubernetes Service (AKS) or any container orchestration for ML inference. Hands-on experience with vision-friendly GenAI frameworks (e.g., Segment-Anything, Stable Diffusion, CLIP). Knowledge of vector databases (FAISS, Milvus) for retrieval-augmented generation in vision tasks. Basic grasp of data pipeline schedulers (Airflow, Prefect) and monitoring stacks (Prometheus, Grafana). Familiarity with automated model-retraining and A/B testing in production. Participation in open-source vision or GenAI projects/hackathons. Skills: Gen AI,Python,Pyspark,Machine Learning,Azure Machine Learning,azure kubernetes services,azure cloud,git,azure data lake,source code management (git),azure blob storage,blob storage,sql Show more Show less

Key responsibilities Product and business requirements gathering : Work with cross-functional teams (product managers, engineers, business stakeholders) to gather and document requirements ensuring alignment with the overall company strategy. User journey mapping and product strategy : Create and maintain user journey maps, helping to translate user needs into actionable product features. Data driven product development : Analyze product usage data, customer feedback, and market trends to shape product development and prioritize new features. Process optimization : Identify opportunities for process improvements across teams, ensuring operational efficiencies as well as customer-facing improvements. Execution focus : Lead agile teams through the software lifecycle, ensuring user stories, product backlogs, and sprint goals are well-defined and executed. Project management – Run project governance end to end from requirements, project planning to delivery. End-to-end testing : Define and execute testing strategies, including both technical features and business processes. Post launch optimization and continuous improvement : Monitor product performance post-launch using data analytics. AI and Generative AI enabled innovation: Lead initiatives to integrate AI and Generative AI technologies into product development processes, identifying opportunities where machine learning and AI-driven tools can enhance product functionality, user experiences, and business outcomes. Ensure that AI-powered solutions are aligned with business goals and regulatory considerations. Data handling and data infrastructure design: Choose, gather and curate the data required for AI and ML projects. Design storage and movements within and outside systems. Analyze training data storage and model training based on training data and risks associated with those. Experience and skills required Education and experience : Overall 6-7 years of experience, with at least 3+ years in either a hands-on Product Analyst or Business Analyst role A bachelor’s degree in engineering (BE/BTech) is must and an MBA is preferred. Product and business expertise : Strong experience in managing digital products, data platforms, and business processes, with a proven track record in both product development and process optimization. Exposure to financial industry - Familiarity with financial services, products, and regulatory requirements is a plus. Hands on technology exposure – Technically equipped and the mindset to deep dive inside the technology platforms – both front end, back end and data bases. Advanced analytical skills : Proficiency in data analysis, trend identification, and visualization. Experience with SQL, Python, and BI tools like Power BI. Agile & Scrum Proficiency : Proven experience working within agile environments, managing product backlogs, user stories, and sprints. Comfortable leading scrum ceremonies and working closely with engineering and UX teams. Process Optimization Skills : Adept at optimizing business processes and aligning cross-functional workflows, ensuring that efficiency gains are realized alongside new product features. AI & Generative AI Proficiency : Demonstrated experience working with AI technologies, particularly Generative AI models (e.g., GPT, Claude, etc.), and how these tools can be applied to enhance product functionality, automation. Familiarity with AI model development or integration into product ecosystems is a significant advantage. Must know fundamental algorithms of machine learning and understand prompt engineering parameters. Why this role is exciting Technology enabled user experience, digital products, data and intelligent insights are at the heart of Avendus growth strategy for 2025 and beyond. This role offers a unique opportunity to influence Avendus future by leading complete greenfield innovative initiatives, ongoing product release and drive adoption of existing technologies while ensuring alignment with broader business objectives. You’ll collaborate directly with business teams, product, development teams and vendors to develop and implement innovative solutions that drive both product success and operational excellence. Show more Show less

Position: IT Manager Job Location: Jaipur, Rajasthan Job Type: Full Time Salary: Best in the Industry Required Qualification: BCA/ B.Tech/ BE/ MCA Required Experience: 5+ Years of Experience in Network Security About the Company: Digamber Capfin Limited started in the magnificent land of Rajasthan, Jaipur in 1995 with a sole mission to empower rural Indian minds with a range of financial services is today one of the leading providers of MFI Loans in the state with over 220 branches and more than 1982 employees working every day to enable the rural population to succeed and grow, we are striving to make a change in the society. Having focused to serve the underprivileged who live in remote villages and who don’t have access to formal credit, Digamber Finance choose to lend a helping hand to ambitious entrepreneurs who aspire to achieve big in life. Today with a strong presence in 9 states and over 90 districts, and giving smiles to over 1 million happy faces Digamber Finance offers a wide range of microfinance solutions like agricultural loans, small business loans, dairy farm loans etc. About the Role: We are seeking a skilled and proactive IT Infrastructure & Security Specialist to manage and secure our organization’s IT infrastructure. The successful candidate will be responsible for the configuration, maintenance, and monitoring of critical systems including firewalls, endpoints, servers, network components, and backup solutions. This role ensures high availability, security, and integrity of our data and IT services. Responsibilities: Security Management: Firewall Management: Configure, monitor, and maintain firewalls to prevent unauthorized access and cyber threats. Endpoint Security Management: Deploy and manage endpoint protection solutions to secure user devices from malware, unauthorized access, and data breaches. Email Security: Implement and monitor email security tools to prevent phishing, spam, and data leakage. Network Security Management: Continuously assess and enhance network security measures, ensuring resilience against intrusions and data compromise. Infrastructure & System Management: Patch Management: Regularly update systems and software with the latest patches to address vulnerabilities and ensure policy compliance. Server Management: Administer and maintain physical and virtual servers to guarantee high availability and optimal performance. Backup Management: Design and implement backup strategies for critical systems and data, ensuring timely recovery in case of disruptions. NAS Management: Manage Network-Attached Storage systems to facilitate efficient file sharing and reliable backup processes. Network Operations: Access Point Management: Configure and maintain wireless access points to ensure secure and reliable organizational connectivity. General Networking: Support and maintain LAN/WAN infrastructure to provide stable and secure communication channels within and beyond the organization. Requirements: Strong knowledge of firewall technologies, endpoint protection, and backup systems. Experience with server administration (Windows/Linux), NAS, and patch management tools. Hands-on experience with networking technologies (switches, routers, access points). Familiarity with security best practices and compliance standards. Show more Show less

About The Opportunity A high-growth player in the Enterprise AI & Cloud Data Engineering sector, we design and ship production-grade large-language-model (LLM) and machine-learning solutions that power real-time analytics, intelligent search, and automated decision support for global customers. Our engineers translate cutting-edge GenAI research into reliable, secure, and low-latency services at scale—leveraging modern Azure tooling and open-source ML stacks to deliver business impact fast. Role & Responsibilities Own end-to-end GenAI/ML use-cases: architect, implement, and optimise scalable pipelines—data ingestion ➜ training ➜ MCP-based checkpointing ➜ inference. Develop Python back-end services that integrate LangChain/LangGraph workflows, FAISS vector search, and agentic tool-calling into cloud APIs. Collaborate with Data Scientists to refine classification & regression models, boosting throughput and sub-second latency for live traffic. Embed ML training & inference into Azure Data Factory / PySpark pipelines, automating retraining and monitoring drift. Define engineering-excellence playbooks (code style, CI/CD, observability) and mentor peers on best practices. Build reliability tooling—health checks, auto-scaling rules on AKS, and alerting dashboards—to maximise uptime and performance. Skills & Qualifications Must-Have Strong Python coding skills (back-end services, data pipelines) and basic PySpark. 1–3 yrs hands-on building LLM / GenAI applications with LangChain or LangGraph plus FAISS-backed retrieval. Solid grasp of core machine-learning algorithms (classification, regression) and production use with ScikitLearn. Experience deploying models via Azure Machine Learning, Data Lake / Blob Storage, and SQL/NoSQL back-ends. Familiarity with MCP-style model-checkpointing and agentic workflow patterns (tool invocation, planning-execution loops). Git-centred workflow, unit testing, and containerisation fundamentals. Preferred Exposure to Azure Kubernetes Service (AKS) or other orchestration for low-latency inference. Knowledge of prompt-engineering, chunking strategies, and evaluation for RAG pipelines. Experience automating monitoring, retraining, and A/B experiments in production. Skills: Python,Azure SQL,Relational Databases,RESTful APIs,Azure Cloud Services,ORMs,Asynchronous Programming,Multithreading,version control,debugging,ci/cd,problem-solving,kubernetes,docker,communication,teamwork Show more Show less

Company Overview: Bush & Bush Law Group is a reputable law firm committed to providing our clients with outstanding legal services through the power of advanced technology and data management. We are seeking an experienced ETL Developer (Python) to join our dynamic data team. As an ETL Developer, you will play a vital role in shaping how we utilize data, ensuring accurate and timely downstream decision-making through robust data extraction, transformation, and loading processes. Key Responsibilities: Create and maintain scalable ETL processes using Python to extract data from various operational systems Transform raw data into meaningful formats that meet the business requirements, applying quality checks throughout the process Load data into databases and data warehouses, optimizing the performance of queries and storage solutions Collaborate with cross-functional teams to interpret data needs and implement solutions that drive operational excellence Execute performance tuning, error resolution, and troubleshooting of ETL pipelines to ensure efficient operation Document all ETL processes and data workflows, providing clear communication to stakeholders Stay current on industry best practices and emerging trends in data integration and management Compensation: $5-$7 an hour paid bi-weekly. Requirements Qualifications: Bachelor's degree in Computer Science, Information Systems, or a related area At least 2 years of experience in ETL development, specifically using Python Strong familiarity with relational databases and SQL, including experience with data warehousing Experience with ETL tools and frameworks; knowledge of cloud-based solutions is a plus Excellent analytical and problem-solving skills with great attention to detail Ability to work collaboratively in a team environment with effective communication skills Familiarity with big data technologies (like Hadoop or Spark) is an advantage Benefits Positive Culture: Be part of a supportive and innovative team Professional Growth: Opportunities for career advancement and ongoing professional development Work-Life Balance: Flexible work arrangements to support a healthy balance between personal and professional life Show more Show less

Job Description Manage operations and maintenance of ETP and STP to ensure compliance with environmental norms. - Ensure adherence to legal and statutory requirements including GPCB, CPCB, DISH, and other applicable bodies. - Lead internal and external EHS audits and ensure timely closure of non-conformities. - Implement EHS programs and SOPs across the site. - Manage hazardous waste handling, storage, and disposal as per regulatory standards. - Conduct safety drills, risk assessments, and training sessions to improve safety awareness. - Maintain accurate documentation for all EHS-related activities and compliance requirements. - Serve as the primary contact for inspections and liaison with regulatory authorities. - Drive continuous improvement initiatives in health, safety, and environmental practices. - Investigate incidents and ensure corrective/preventive actions are effectively implemented Show more Show less

About Work in the technology sector, specializing in AI and machine learning. Drive the development of innovative solutions in the industry. Key Responsibilities Good hands on experience in Gen AI Responsible for designing, implementation, scalable & optimization of end to end AI/ML usecases Python Expert in developing the backend code. Establish and implement engineering excellence guidelines for the team. Hands-on development on Machine Learning code and collaborate with Data Scientists to optimize ML models for high throughput and low-latency use cases Integrate ML model training, inferencing into Data pipelines. Ideal Profile Excellent hands on coding skills on Python and basics of Pyspark. Good understanding on the ML Models. Experience in Azure Machine Learning. Experience in Azure data lake, Blob storage, SQL or any database etc. Knowledge about Azure Kubernetes Services would be added advantage Nice to Have Good to have experience in Azure cloud Knowledge source code management tools (git) Always ready to learn more and adopt new cutting edge technology with the right value proposition. Skills: Gen AI,Python,Pyspark,Machine Learning,Azure Machine Learning,Azure Data Lake,Blob Storage,SQL,Azure Kubernetes Services,Azure Cloud,Git Show more Show less

About The Opportunity Join a fast-growing innovator in the Artificial Intelligence & Computer-Vision Solutions sector that builds production-grade GenAI and ML platforms for industrial automation, smart-city analytics, and digital inspection. Working on-site at our Pune & Nashik R&D hubs, you’ll transform cutting-edge research in generative vision models into reliable software and data pipelines that power real-world camera and sensor deployments. Role & Responsibilities Design, implement, and optimise end-to-end GenAI/ML use-cases—from data ingestion through model training, fine-tuning, and low-latency inference. Develop Python back-end services that integrate vision-centric LLMs and diffusion models into scalable REST/GraphQL or gRPC APIs. Embed ML training & inference workflows into Azure ML pipelines and schedule jobs across AKS clusters for high throughput and cost efficiency. Collaborate with Data Scientists to profile, prune, and quantise models for edge and cloud deployments, ensuring Build observability & automation tools (logging, alerting, auto-retraining triggers) to boost reliability, performance, and self-healing. Champion engineering excellence, enforcing code-review standards, Git branching strategy, and reusable CI/CD templates. Skills & Qualifications Must-Have 1–2 yrs professional experience in GenAI / ML projects with a focus on computer vision (classification, detection, segmentation). Strong Python development skills plus basic PySpark for data wrangling. Practical knowledge of Azure Machine Learning, Data Lake / Blob Storage, and SQL/NoSQL stores. Familiarity with model versioning, experimentation tracking, and MLOps best practices. Comfort with Git-based workflows and peer code reviews. Demonstrated ability to learn new frameworks rapidly and ship incremental value. Preferred Exposure to Azure Kubernetes Service (AKS) or any container orchestration for ML inference. Hands-on experience with vision-friendly GenAI frameworks (e.g., Segment-Anything, Stable Diffusion, CLIP). Knowledge of vector databases (FAISS, Milvus) for retrieval-augmented generation in vision tasks. Basic grasp of data pipeline schedulers (Airflow, Prefect) and monitoring stacks (Prometheus, Grafana). Familiarity with automated model-retraining and A/B testing in production. Participation in open-source vision or GenAI projects/hackathons. Skills: Gen AI,Python,Pyspark,Machine Learning,Azure Machine Learning,azure kubernetes services,azure cloud,git,azure data lake,source code management (git),azure blob storage,blob storage,sql Show more Show less

About Work in the technology sector, specializing in AI and machine learning. Drive the development of innovative solutions in the industry. Key Responsibilities Good hands on experience in Gen AI Responsible for designing, implementation, scalable & optimization of end to end AI/ML usecases Python Expert in developing the backend code. Establish and implement engineering excellence guidelines for the team. Hands-on development on Machine Learning code and collaborate with Data Scientists to optimize ML models for high throughput and low-latency use cases Integrate ML model training, inferencing into Data pipelines. Ideal Profile Excellent hands on coding skills on Python and basics of Pyspark. Good understanding on the ML Models. Experience in Azure Machine Learning. Experience in Azure data lake, Blob storage, SQL or any database etc. Knowledge about Azure Kubernetes Services would be added advantage Nice to Have Good to have experience in Azure cloud Knowledge source code management tools (git) Always ready to learn more and adopt new cutting edge technology with the right value proposition. Skills: Gen AI,Python,Pyspark,Machine Learning,Azure Machine Learning,Azure Data Lake,Blob Storage,SQL,Azure Kubernetes Services,Azure Cloud,Git Show more Show less

About Work in the technology sector, specializing in AI and machine learning. Drive the development of innovative solutions in the industry. Key Responsibilities Good hands on experience in Gen AI Responsible for designing, implementation, scalable & optimization of end to end AI/ML usecases Python Expert in developing the backend code. Establish and implement engineering excellence guidelines for the team. Hands-on development on Machine Learning code and collaborate with Data Scientists to optimize ML models for high throughput and low-latency use cases Integrate ML model training, inferencing into Data pipelines. Ideal Profile Excellent hands on coding skills on Python and basics of Pyspark. Good understanding on the ML Models. Experience in Azure Machine Learning. Experience in Azure data lake, Blob storage, SQL or any database etc. Knowledge about Azure Kubernetes Services would be added advantage Nice to Have Good to have experience in Azure cloud Knowledge source code management tools (git) Always ready to learn more and adopt new cutting edge technology with the right value proposition. Skills: Gen AI,Python,Pyspark,Machine Learning,Azure Machine Learning,Azure Data Lake,Blob Storage,SQL,Azure Kubernetes Services,Azure Cloud,Git Show more Show less

Location: Ankleshwar, GJ, IN Areas of Work: Supply Chain Job Id: 13246 External Job Description Role Description Job Purpose Ensuring stability and reliability in material inwarding & handling, dispatching of finished goods, and inventory management across various storage locations in plant premises. Primary Responsibilities Business Responsibility Areas Key Performance Indicators Material Inwarding Performing physical material Inwarding through EWM (SAP) as per Asian Paints Quality System. Coordination with Purchase, Planning, Production & Security team to ensure all systemic requirements are adhered to prior to unloading of materials.Turn Around Time, Detentions, EWM basic trouble shooting Production Support Ensuring material availability in desired storage locations and material transfer from/to production blocks. Coordination with Engineering team, IT Team, etc. for resolution of breakdowns. Zero Material Stock out situations, Material Charging per shift Machine Uptime Material Dispatch Co-ordination with Central Distribution, Distribution team, OBL, Transporter to ensure planning of trucks in line with orders placed Generation of pick list of SKUs as per target dispatch plan for the day, execution of deliveries in order to service material to depots as per agreed service levels. Truck Placement Efficiency Dispatch Volume, Detentions, Turn Around Time, STO Ageing, TLB Team Management Handling a team of technical team members (Asian Paints employees), scheduling of shifts, grievance resolution, development of reportees, etc. Manpower availability, TAT of Grievance resolution Contractual Manpower Management Managing and optimization of contractual manpower such as Fork Lift Operators, Helpers, Loading and Unloading manpower, dispatch supervisors, through contractor supervisors to ensure uninterrupted flow of work. Maintaining a track of contractual manpower performance.Over time hours and Efficiency Asset Care And 5S Responsible for maintenance of all assets in the work area, ensuring maximum uptime of all equipment and resolving asset related issues in coordination with Engineering team. Preparing and maintaining a repository of Corrective & Preventive Action (CAPA) of exceptions in coordination with relevant stakeholders. Ensuring proper 5S of the work area On time Preventive Maintenance, Logging of issues in desired format CAPA readiness within desired timelines Stock Management Ensuring proper accounting of all material stocks across various storage units in work location through accurate tracking of physical material movement & maintenance of EWM (SAP) hygiene. Coordination with relevant stakeholders to analyze causes leading to Material Variance and swift closure of same. Material Variance Safety, Health & Environment Identification of Hazards and Risk Assessment and implementation of action plan to reduce hazards. Performing bi-annual Self-Assessment of Asian Paints Safety Quality System relevant to work area. Ensuring timely scrap movement to Scrapyard in coordination with EHS team.Timely closure of HIRA Timely closure of observed Non-Compliances Process Improvement To aid the department in improvement of processes through ideation sessions, Kaizen and cost benefit analysis. No. of Kaizens, Cost Savings Preparation Of Reports Preparation of day-to-day operational reports in desired format for circulation to hierarchy Exception Handling To carry out activities in order to manage exceptions as per Asian Paints Quality System and/or direction of hierarchy as applicable. Show more Show less

About Work in the technology sector, specializing in AI and machine learning. Drive the development of innovative solutions in the industry. Key Responsibilities Good hands on experience in Gen AI Responsible for designing, implementation, scalable & optimization of end to end AI/ML usecases Python Expert in developing the backend code. Establish and implement engineering excellence guidelines for the team. Hands-on development on Machine Learning code and collaborate with Data Scientists to optimize ML models for high throughput and low-latency use cases Integrate ML model training, inferencing into Data pipelines. Ideal Profile Excellent hands on coding skills on Python and basics of Pyspark. Good understanding on the ML Models. Experience in Azure Machine Learning. Experience in Azure data lake, Blob storage, SQL or any database etc. Knowledge about Azure Kubernetes Services would be added advantage Nice to Have Good to have experience in Azure cloud Knowledge source code management tools (git) Always ready to learn more and adopt new cutting edge technology with the right value proposition. Skills: Gen AI,Python,Pyspark,Machine Learning,Azure Machine Learning,Azure Data Lake,Blob Storage,SQL,Azure Kubernetes Services,Azure Cloud,Git Show more Show less

BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit www.bitgo.com. We believe the world is moving on-chain, and the number of teams, projects, and institutions leveraging blockchain technology will only continue to grow. Our mission is to empower these teams with the most secure and scalable infrastructure to manage their digital assets effectively. BitGo is at the forefront of institutional-grade crypto custody, staking, and financial services. We are expanding our product team to ensure seamless onboarding of new assets and enhance our staking infrastructure, driving adoption across our ecosystem. About The Role We are looking for a Product Manager, Prime, to lead the expansion of our financing, working closely with coin and token foundations, internal stakeholders, and cross-functional teams. This role is instrumental in ensuring BitGo’s infrastructure supports a broad range of digital assets, with a strong emphasis on staking capabilities and seamless integration across our product suite. What You’ll Do Engage with coin and token foundations to onboard them onto the BitGo wallet stack, ensuring a smooth and efficient integration process. Enhance staking coverage and capabilities, making BitGo’s staking infrastructure more robust, accessible, and scalable. Streamline end-to-end asset onboarding across the BitGo stack, improving operational efficiency and reducing time-to-market for new assets. Collaborate with internal teams—including trading, custody, and infrastructure to onboard new assets across all product offerings. Work closely with engineering, compliance, and GTM teams to ensure all new asset integrations meet security, regulatory, and user experience standards. Define and execute the product roadmap for asset onboarding and staking, tracking key success metrics and continuously iterating based on feedback. Who Would Be a Great Fit Experience working in cross-functional teams, with a strong ability to coordinate between engineering, business, and external stakeholders. Proven ability to multi-task in a fast-paced, high-growth environment, balancing multiple projects with varying priorities. Working knowledge of crypto and blockchain, including token mechanics, staking models, and asset custody. Prior experience at a startup, demonstrating adaptability, ownership, and problem-solving in a dynamic setting. Strong communication and organizational skills, with a hands-on approach to execution. Why Join BitGo? Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of open communication, collaboration, accountability, craftsmanship, and a client first approach. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want to be part of the team that changes the world’s financial markets. Here are some of the benefits of working at BitGo: Competitive salary IT equipment support for work Meal & Commute allowance Medical Insurance Attractive Well-being allowance (comprises of medical, wellness and fitness aspects) Snacks : on-the-house in the Bangalore office Great/Talented workforce to learn and grow with Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you’ll be able to look back and say you were part of the team that transformed finance. Show more Show less