Data Integration Engineer Jobs in Hyderabad
376 Jobs Found
Technical Consultant
Innovapptive
Position: Technical Consultant Location: Hyderabad, India Employment Type: Full-Time, Salaried Compensation: Base Salary, Bonus, Benefits About Innovapptive: Innovapptive is revolutionizing industrial operations by uniting front-line workers, back-office teams, and assets on a patented, Code-Free connected worker platform integrated with SAP and IBM Maximo. Our mobile-first SaaS solutions digitize and automate traditionally paper-based maintenance, operations, and supply chain processes for some of the world s largest brands like Shell, UNICEF, and Reckitt Benckiser. Backed by Tiger Global Management and Vista Equity Partners, we re on a mission to empower 350 million industrial workers globally by improving productivity, safety, and operational excellence. Role Overview: We are seeking a Technical Consultant to collaborate closely with customers, product managers, and professional services teams. You will define integration architectures, guide SaaS adoption, and lead the design and implementation of scalable cloud and middleware solutions aligned with customer IT strategies. This role blends architecture, hands-on implementation, and cross-functional collaboration to deliver innovative industrial SaaS integrations. Key Responsibilities: Cloud Architecture & Solution Advisory Engage with customer architects/SMEs to design secure, scalable cloud deployments (AWS mandatory; Azure/GCP optional) Recommend best practices for SaaS adoption, API strategy, middleware, and cloud security Define and enforce architectural standards and governance Integration Solutioning Analyze ERP/CRM systems (SAP PM/MM, Maximo, Salesforce, Oracle) and design middleware integrations (CPI, BTP, MuleSoft, PI/PO, Dell Boomi) Lead integration planning and mapping workshops with clients ETL & Data Flow Enablement Architect ETL pipelines and data transformation rules ensuring clean, secure data flows Implement reliable data ingestion via APIs, OData, REST, SOAP, and event-driven methods Security, IAM & Compliance Implement best practices for data security including OAuth 2.0, OpenID, TLS/SSL, encryption (AES, RSA) Support identity federation (SSO, MFA, Azure AD, Okta) Ensure compliance with GDPR, CCPA, and other data privacy regulations Monitor security logs and support incident response Deployment & Customer Support Support solution deployment and post-go-live activities ensuring stability and performance Guide clients through testing, rollout, and knowledge transfer Collaboration & Enablement Serve as liaison between customers, product engineering, and delivery teams Provide enablement and training for client IT teams What You Bring: Bachelor s degree in Computer Science, IT, or related field 5-8 years experience in Enterprise SaaS Integration and Cloud Architecture Experience integrating SaaS with ERP/CRM systems (SAP PM/MM, Maximo, Oracle, Salesforce) Expertise in REST/OData/SOAP web services, middleware (CPI/BTP/MuleSoft/ESB), and scripting Hands-on experience with AWS (mandatory), Azure or GCP Strong knowledge of networking/security protocols (HTTPS, IPsec, TLS), IAM (SSO, MFA), API management Familiarity with integration/security tools (Postman, Swagger, Wireshark, Fiddler) Knowledge of encryption, data privacy laws, and secure API endpoint management Bonus: SAP backend experience, SMP SDK, SAP HANA, TOGAF certification, mobile field ops solutions, Connected Worker tech Startup mindset: adaptable, proactive, results-driven Soft Skills: Strong problem-solving and analytical thinking Excellent communication and client-facing skills Passion for innovation, customer success, and digital transformation Willingness to travel to client sites as needed Work with a highly innovative team and cutting-edge technology Grow your career in a fast-paced, entrepreneurial environment Collaborate with global brands on impactful projects Competitive salary and comprehensive benefits including medical insurance for family, paid parental leave, and generous PTO Continuous learning and development opportunities Inclusive and diverse workplace culture Innovapptive does not accept unsolicited resumes from recruitment firms. Innovapptive is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration without regard to protected characteristics under applicable laws. Qualification : Bachelors degree in Computer Science, IT, or related field.
Solution Architect
Kanerika Software
Job Title: Presales Solution Architect Location: Hyderabad, India About Us Kanerika At Kanerika Inc., we are a globally recognized software products and services company dedicated to enabling data-driven digital transformation. Co-founded by a Wharton alumnus, our mission is to help enterprises unlock business value through the smart use of data, cutting-edge technologies, and scalable solution architectures. Recognized by Great Place to Work , RPA Today, and Frost & Sullivan, Kanerika is a growing organization that values innovation, inclusivity, and impact. With ISO 27701, SOC2, and GDPR compliance, we re also committed to the highest standards of data privacy and security. Role Overview We are seeking an experienced Presales Solution Architect to join our team. This role is crucial in driving successful sales engagements by combining technical acumen with business insight. You will collaborate closely with sales and technical teams to understand client needs, design optimal solutions, and develop winning proposals. This role demands a strategic thinker with strong communication skills, the ability to simplify complex concepts, and a deep understanding of data architecture, cloud platforms, and presales processes. What You ll Do Solution Architecture & Design Design scalable, secure, and robust solution architectures for enterprise clients. Develop cloud-native, hybrid, and on-premises data architectures using platforms like Azure, AWS, or GCP. Evaluate and recommend the right mix of technologies and services (e.g., Azure Data Factory, Azure Synapse, Power BI, Fabric, etc.). Design conceptual/logical/physical data models and implement data governance practices including data lineage and access control. Create efficient and scalable ETL/ELT pipelines to support analytics and AI-driven outcomes. Presales & Client Engagement Translate business requirements into compelling technical proposals and presentations. Support the sales cycle by responding to RFPs/RFIs, delivering solution walkthroughs, and addressing client queries. Present solutions to technical and business stakeholders, demonstrating clear business value and ROI. Collaborate with cross-functional teams including product, sales, and delivery to co-create winning bids. Thought Leadership & Process Excellence Continuously explore innovations in data analytics and AI to strengthen Kanerika's solution offerings. Mentor internal teams on solution best practices and quality-first development approaches. Ensure alignment of proposed solutions with client goals, business context, and industry trends. What You ll Bring 10+ years of experience in data analytics, AI technologies, and solution architecture. Proven experience in presales or solution design roles with strong exposure to client interactions. Bachelor s degree in Engineering/Technology or MCA from a reputed institution. Certifications in data engineering, cloud (Azure/AWS/GCP), or analytics are a strong plus. Strong understanding of enterprise data architecture and hands-on experience with Azure services. Familiarity with integration of APIs, real-time messaging systems, and scalable application frameworks. Soft Skills Excellent verbal and written communication and presentation skills. Strong interpersonal and collaboration abilities. High emotional intelligence (EQ) and adaptability under pressure. Self-driven, responsible, and capable of working independently with minimal supervision. Strong time management, multi-tasking, and organizational skills. Employee Benefits Culture & Work Environment Open Door Policy for transparent communication. Flexible Working Hours & Open Office Layout. Employee Referral Bonus Program. Biannual Performance Appraisal Process. Inclusivity & Wellness Diversity-focused hiring and Mandatory POSH Training. Comprehensive Health Insurance, Term Insurance & Disability Cover. Family Support & Leave Generous Parental & Family Medical Leave. Company-sponsored Family Events. Time-Off & Perks Generous Paid Time Off (PTO), Sick Days, and Paid Holidays. Bereavement Leave, Gratuity & Provident Fund Contributions. Regular Team Outings and Engagement Activities. Learning & Development Access to FLEX Enterprise Learning Repository. Mentorship & Internal Promotion Opportunities. Professional Certification Reimbursements. Job-specific Training & Upskilling Programs. Join a company where innovation meets impact. Be part of a collaborative and growth-oriented environment where your contributions are recognized, your ideas matter, and your career thrives. Qualification : Bachelors degree in Engineering/Technology or MCA from a reputed institution
Senior Full-stack Engineer
Kanerika Software
Job Title: Senior Full Stack Engineer Locations: Hyderabad, Ahmedabad, Indore (India) About Kanerika Kanerika Inc. is a global leader in software products and services, specializing in delivering innovative solutions to data-driven enterprises. With operations in the U.S., Singapore, and India, we empower businesses to drive digital transformation and maximize impact through the intelligent use of data and technology. Our Recognitions: Best Place to Work 2022 Great Place to Work Top 10 Most Recommended RPA Startups 2022 RPA Today Technology Innovation Award 2021 Frost & Sullivan (Kompass Architecture) ISO 27701, SOC2, and GDPR Compliant Committed to security and privacy At Kanerika, we cultivate a collaborative, inclusive, and growth-oriented culture that values innovation and professional development. We believe in fostering an environment where your work matters and your contributions create lasting impact. Role Overview We re expanding rapidly in the Integration and Analytics space, and we re looking for an experienced Senior Full Stack Engineer to join our high-performing team. You will work closely with global clients, primarily in the logistics domain, helping design and deliver scalable, performance-driven enterprise applications. The ideal candidate has deep expertise in Node.js, React, and full-stack JavaScript development, and is passionate about clean code, robust architecture, and efficient development practices. What You ll Do Full-Stack Development: Build and maintain both front-end and back-end components of complex web applications. Collaboration: Partner with UI/UX designers, backend engineers, DevOps, and business stakeholders to create integrated solutions. Code Quality: Write clean, maintainable, and well-documented code using best practices and modern frameworks. Testing: Perform unit, integration, and end-to-end testing to ensure application stability and performance. Continuous Improvement: Stay current with new technologies, and suggest enhancements to existing architecture and workflows. Documentation: Maintain clear and concise technical documentation for systems and codebases. What You ll Bring 8+ years of professional experience as a Full Stack Developer. Deep hands-on knowledge of JavaScript, with advanced expertise in Node.js and React.js. Proficient in using version control tools, particularly Git, and collaborative workflows (pull requests, code reviews). Strong front-end skills, including responsive design and mobile optimization. Experience with SQL databases, particularly PostgreSQL, and good understanding of database design principles. Familiarity with CI/CD pipelines, automation tools, and agile methodologies. Solid understanding of testing frameworks and best practices for frontend and backend testing. Nice-to-Have Skills TypeScript for type-safe development. GraphQL experience with APIs using GraphQL. Security & Performance Optimization best practices for production-grade apps. Architectural Patterns experience designing scalable, maintainable architectures. Familiarity with modern open-source tools and libraries. Strong analytical and multitasking skills. At Kanerika, we support your growth, value your ideas, and provide an environment where innovation thrives. Employee Benefits Culture Open Door Policy & Open Office Environment Flexible Working Hours Biannual Performance Reviews Employee Referral Bonuses Diversity & Inclusion Inclusive hiring practices Mandatory POSH (Prevention of Sexual Harassment) training Health & Wellness Health Insurance (GMC), Term Insurance & Disability Cover Family & Parental Benefits Generous Parental and Family Medical Leave Company-Sponsored Family Events Time Off & Perks Generous Paid Time Off, Sick Days & Holidays Company Outings, Gratuity, and Provident Fund Bereavement Leave Learning & Development Access to FLEX Enterprise Learning Repository Mentorship Program & Job Training Certification Reimbursements Internal Promotion Opportunities Be part of a team that s building the future of data, integration, and intelligent enterprise solutions. At Kanerika, your talent is recognized, your growth is prioritized, and your work makes a real difference.
Principal Solution Architect - Technical
Arcesium
Principal Solution Architect Technical Locations: Hyderabad Company: Arcesium Company Overview Arcesium is a global financial technology firm solving complex, data-intensive challenges for some of the world s most sophisticated financial institutions. Through relentless innovation, we empower clients to achieve transformational outcomes by delivering scalable and intelligent solutions that address critical needs in operations, data, and analytics. As the fintech industry evolves rapidly, Arcesium is uniquely positioned for strategic expansion. Our culture emphasizes intellectual curiosity, proactive ownership, and collaboration. We offer our people opportunities to make meaningful contributions from day one. About the Role We are seeking an experienced and strategic Principal Solution Architect to join our Client and Partner Development team as a Forward Deployed Solution Architect. This is a high-impact, client-facing role that blends technology, business strategy, and consulting. As a key liaison between clients and Arcesium s product teams, you will help articulate and deliver technically robust solutions that meet real-world investment management challenges. Your work will involve defining and delivering platform-powered, scalable architectures that create measurable business value for our clients. Key Responsibilities Solution Architecture & Delivery Collaborate with client stakeholders (CTOs, CDOs, Heads of Technology) to define and accelerate data strategies using Arcesium s platform. Deconstruct complex client problems and architect robust, scalable technical solutions using Arcesium s capabilities. Drive Proof of Concepts (PoCs), end-to-end solution delivery, and platform implementations. Client Engagement & Communication Present high-impact solutions via written proposals, diagrams, demos, and presentations. Lead governance, project planning, and expectation management for assigned clients. Collaborate with client-side development teams to onboard and train them on Arcesium's architecture, APIs, and data flow strategies. Internal Collaboration & Feedback Partner with Forward Deployed Engineers, Data Strategists, and Product Managers to ensure solution success. Provide feedback and improvement opportunities across products, processes, and solution delivery mechanisms. Represent Arcesium s technical capabilities in sales pitches, technical demos, and pre-sales discussions. Ideal Candidate Profile Experience & Background 7 12 years of client-facing experience in solutioning, technical consulting, implementations, or professional services. Prior experience in software development is a strong plus (languages: Python, Java, SQL). Experience managing cross-functional projects across business and technical domains. Technical Skills Deep understanding of solution architecture, system design, and data integration. Familiarity with cloud platforms (e.g., AWS), modern APIs, and data processing pipelines. Strong command of software engineering processes and DevOps practices. Soft Skills Outstanding communication and stakeholder management skills. Demonstrated ability to translate complex technical topics into simple, impactful solutions for diverse audiences. Comfortable working in a fast-paced, high-stakes client environment. Preferred Familiarity with financial services, investment management, or fintech is advantageous. Awareness of industry trends in data strategy, cloud infrastructure, and advanced analytics. Work at the intersection of finance and cutting-edge technology. Be a core part of strategic transformation for some of the world s leading financial institutions. Collaborate with high-caliber peers in a culture of ownership, growth, and excellence. Access continuous learning and development opportunities to accelerate your career. Equal Opportunity Employer Arcesium is an equal opportunity employer. We are committed to building a diverse and inclusive workforce. We welcome individuals from all backgrounds and walks of life to apply.
Lead/senior Devops Engineer (scripting/public Cloud)
Salesforce
Lead / Senior DevOps Engineer SRE, Public Cloud & Automation (Hyderabad, India) Full-Time | Software Engineering | Salesforce Hyderabad Drive Automation. Build Scalable Systems. Shape the Future of Cloud Engineering. Join Salesforce as a Lead or Senior DevOps Engineer and play a critical role in operating one of the world s most advanced multi-cloud, microservices, and Kubernetes-based platforms. This is your opportunity to work on high-impact distributed systems that serve tens of millions of users across industries every single day. If you're passionate about DevOps, Site Reliability Engineering (SRE), infrastructure automation, and public cloud platforms, and thrive in fast-paced environments, this role is for you. What You ll Do Maintain and scale a large fleet of Kubernetes clusters powering core Salesforce services and applications Automate everything: from provisioning to deployment and monitoring using tools like Terraform, Python, Go, Spinnaker, and Puppet Ensure high availability, reliability, and performance of large-scale distributed systems Troubleshoot complex, multi-layered production issues across compute, network, and storage layers Implement self-healing systems, smart alerts, and observability solutions using tools like Grafana, Prometheus, Nagios, Zabbix Collaborate closely with engineering, architecture, and platform teams across Salesforce Evaluate and integrate emerging technologies to drive platform resilience, scalability, and automation Required Skills & Qualifications 7+ years of hands-on DevOps or Site Reliability Engineering (SRE) experience in production environments Strong background in Linux systems administration and internals Fluent in scripting or programming languages like Python, Golang, or Bash Deep knowledge of Kubernetes, Docker, and service mesh technologies Experience with AWS (Amazon Web Services) and Infrastructure as Code (IaC) tools like Terraform Strong understanding of networking concepts: TCP/IP, load balancing, switches, DNS, firewalls Familiarity with CI/CD pipelines using tools like Jenkins, Spinnaker, or similar Proficiency in using configuration management tools: Puppet, Chef, or Ansible Proven troubleshooting skills in large-scale distributed systems and cloud-native architectures A continuous learner with strong analytical thinking and collaborative communication skills Preferred / Bonus Skills Prior experience in SRE ownership of large-scale SaaS platforms Experience working with multi-region deployments and resilient architectures Hands-on knowledge of API integration with public cloud vendors (AWS, Azure, GCP) Exposure to data durability, high-availability storage systems, and clustering solutions Perks & Benefits Industry-leading benefits including healthcare, fertility support, adoption & parental leave Well-being reimbursement and generous time-off policies Continuous learning through Trailhead and world-class enablement Mentorship and leadership coaching with executive exposure Opportunities to give back via Salesforce s 1:1:1 philanthropy model Join us in redefining the DevOps landscape and making scalable, secure, and self-healing systems the foundation of modern enterprise software.
Lead Data Scientist - Media Mix Modelling (mmm)
Blend360 India
Lead Data Scientist Media Mix Modeling (MMM) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 6+ Years Company: Blend About Blend: Blend is a premier AI services provider committed to co-creating meaningful impact through data science, AI, and technology. We harness world-class talent and data-driven strategies to unlock innovation and value for our clients. Our mission is to empower bold visions by seamlessly aligning human expertise with artificial intelligence. Job Summary: We are seeking an experienced Lead Data Scientist with deep expertise in Media Mix Modeling (MMM) to optimize marketing spend and drive strategic insights across multiple media channels. You will leverage statistical modeling and data analytics to provide actionable recommendations that improve marketing effectiveness and business outcomes. Key Responsibilities: Design, develop, and implement Media Mix Models to analyze and optimize marketing spend across channels such as TV, digital, radio, and print. Analyze historical marketing data to measure channel effectiveness and guide budget allocation decisions. Collaborate closely with marketing, business, and analytics teams to translate business goals into quantitative models and insights. Build predictive models to forecast the impact of marketing campaigns and recommend budget reallocation. Present complex analytical findings clearly and effectively to technical and non-technical stakeholders. Conduct detailed analyses of marketing campaigns and customer behavior to uncover trends, opportunities, and optimization areas. Ensure accuracy, consistency, and integrity in all data analyses and model outputs. Stay updated with the latest advances in MMM, marketing analytics, and data science methodologies. Work with cross-functional teams including Data Engineering and BI to ensure smooth data integration and workflow. Document methodologies, models, and analysis processes thoroughly. Qualifications: Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related discipline. Minimum 6 years experience in Media Mix Modeling (MMM) or marketing analytics roles. Strong expertise in statistical modeling methods, including regression analysis and time-series forecasting. Proficiency in programming languages and tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI. Familiarity with marketing data sources such as Nielsen, IRI, social media analytics, and CRM datasets. Excellent analytical skills with the ability to translate data into actionable business insights. Strong communication skills for effective stakeholder engagement across technical and non-technical audiences. Experience working in fast-paced, data-driven environments. Knowledge of machine learning techniques and frameworks is a plus. Preferred Qualifications: Experience handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud. Understanding of marketing attribution, customer segmentation, and lifetime value (LTV) models. Experience conducting A/B testing and controlled experiments. Background in consulting or marketing agency settings is advantageous. Competitive Salary: Reflecting your skills and impact. Dynamic Career Growth: Fast-track your development with mentorship and challenging projects. Idea Tanks: Collaborate and innovate in our dedicated creativity spaces. Growth Chats: Informal knowledge-sharing sessions to fuel your learning. Snack Zone: Stay energized with a variety of refreshments. Recognition & Rewards: Regular acknowledgment of your contributions and ideas. Certification Support: Grow your skillset with company-supported certification programs. Apply now to become a key player in Blend s analytics team and lead transformative marketing analytics projects. Qualification : Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field.
Data Engineering Support Engineer - Sima
Syren Technologies
Data Engineering Support Engineer SIMA (5+ Years) Hyderabad Location: Hyderabad, India Job Type: Full-Time | On-site/Hybrid Experience: 5+ Years Industry: Data Engineering / Cloud Support Job Overview We are seeking an experienced Data Engineering Support Engineer with a strong background in maintaining and optimizing data pipelines, ensuring platform reliability, and supporting cloud data infrastructure. This role is critical to sustaining smooth data operations for the SIMA platform in Hyderabad. Key Responsibilities Maintain and support data pipelines and transformations on Azure cloud platforms. Ensure platform stability and reliability through proactive monitoring and issue resolution. Manage scheduling and monitoring using Azure Data Factory (ADF) triggers, Azure Monitor, and Log Analytics (KQL). Handle data ingestion and validation workflows via ADF, Event Hub, APIs, and PySpark, including managing schema drift. Manage CI/CD pipelines using Azure DevOps YAML, deploying solutions for ADF, Synapse, and Databricks. Optimize data transformations and performance using PySpark and Delta Lake techniques like partitioning and caching. Implement and maintain security best practices using Azure RBAC, Key Vault, NSGs, and Integration Runtime configuration. Conduct Root Cause Analysis (RCA), document findings, maintain disaster recovery playbooks, and implement proactive alerting. Required Skills 5+ years of hands-on experience in data engineering support roles. Expertise in Azure Data Factory (ADF) scheduling, triggers, and monitoring. Proficient with PySpark for data transformations and performance optimization. Experience with Delta Lake optimizations including partitioning and caching. Skilled in CI/CD practices using Azure DevOps for deploying data workflows. Strong knowledge of Azure security features: RBAC, Key Vault, Network Security Groups (NSGs). Ability to perform detailed Root Cause Analysis (RCA) and develop disaster recovery strategies. Familiarity with data ingestion tools like Event Hub and API integrations. Experience with Kusto Query Language (KQL) for Log Analytics queries. Join a dynamic team maintaining critical data infrastructure supporting business operations. Work with advanced Azure data services and cloud-based data platforms. Competitive salary and comprehensive benefits. Opportunity for growth and skill development in cloud data engineering. Apply Now If you are a detail-oriented data engineering professional with expertise in Azure platform support, apply today to become a vital part of our Hyderabad-based SIMA team!
Azure Data Engineer
Quadrant Technologies
Job Title: Azure Data Engineer Location: Hyderabad / Bangalore (Hybrid) Job Type: Full-time Salary: Negotiable Position Overview: We are looking for an Azure Data Engineer with 5-8 years of experience to join our team. As an Azure Data Engineer, you will design, implement, and manage data solutions on the Microsoft Azure cloud platform. The ideal candidate will have a strong background in writing complex SQL stored procedures, implementing OLTP database solutions using Microsoft SQL Server, and working with Azure Synapse, PySpark, and Azure Databricks for big data processing. Key Responsibilities: Data Integration and Collaboration: Collaborate with cross-functional teams to gather, analyze, and document business requirements for data integration projects. Complex SQL Expertise: Write and optimize complex T-SQL, Dynamic SQL, and Spark SQL queries, including the creation of stored procedures for data transformation and business validation logic. Big Data Processing: Utilize Azure Synapse/Databricks to write notebooks using Spark SQL or PySpark for processing and analyzing large volumes of data. Data Pipeline Development: Develop and maintain robust data pipelines using Azure Data Factory to ensure seamless data flow across systems. OLTP Systems: Contribute to the enhancement and optimization of OLTP systems using SQL Server. Data Quality and Integrity: Ensure data quality, integrity, and accuracy in all systems. Programming and Algorithm Development: Utilize strong algorithmic programming skills to handle data processing and transformation. Qualifications: Educational Background: Bachelor s degree in Computer Science, Information Technology, or a related field. Experience: 5-8 years of experience in database development, data integration, and writing complex T-SQL queries. Technical Skills: Expertise in T-SQL and Spark SQL/PySpark (experience with Azure Synapse and Databricks is essential). Hands-on experience with Azure Data Factory for building data pipelines. Strong experience with OLTP systems using SQL Server. Problem-Solving Skills: Excellent problem-solving abilities with a strong focus on attention to detail. Adaptability: Ability to work in a collaborative and fast-paced environment, focusing on delivering high-quality solutions. Other Details: Notice Period: 0-15 days MAX Work Location: Hyderabad / Bangalore (Hybrid) If you're an experienced Azure Data Engineer with a passion for big data and cloud technologies, apply now to join our team and make an impact with innovative data solutions! Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.
Senior Consultant | .net Azure Full Stack
Deloitte
Job Title: Senior Consultant - FS Developer Tech Engineer Location: Hyderabad Entity: Financial Services Your Role Work across the entire solution lifecycle, including requirement analysis, front-end and back-end development, design, system integration, architecture, and support. Analyze root causes of incidents and provide well-thought-out solutions. Document the resolutions provided and share them with relevant stakeholders. Support the business by providing effort estimations and conducting feasibility studies. Perform code reviews and share the findings with colleagues to improve the quality of deliverables. Your Team You will be working as part of the End User Artificial Intelligence and Transformation team. This team develops end-user automation and solutions, based in Pune and London. We are a technology-driven team focused on end-user services, developing, integrating, testing, documenting, maintaining, supporting, and decommissioning technology solutions aimed at solving business problems. Your Expertise We re looking for someone with: Several years of experience as a software developer (experience within financial services is a plus). Expertise in Typescript, JavaScript, CSS, and frameworks such as Angular 12+, ReactJS, and NodeJS. Experience with MS SQL Server including writing and optimizing stored procedures, creating views, and managing database performance. Strong understanding of Azure services, Function Apps, Infrastructure as Code (IaaC), and GitLab. Expertise in building web service-based REST APIs. Knowledge in web development tools and data modeling. Expertise in HTML5, Bootstrap, Client-Side Development, SASS/LESS, CSS3, and Responsive Design. The ability to build client-side applications for both web browsers and mobile devices. Experience in developing tools leveraging complex data sources. Knowledge of integrating UX design and engineering into products for a seamless user experience. Experience in desktop application development. Bonus: Experience developing style guides or UX wireframes. You Are: An excellent communicator and negotiator who can articulate complex technical concepts clearly. A self-starter, capable of independently creating innovative solutions. Fluent in English, both spoken and written. Analytical and logical, able to solve problems in an efficient and effective manner. Result-oriented and assertive, with a positive attitude towards challenges. Motivated, self-directed, and driven to achieve excellence. Methodical, concise, and accurate, with a strong attention to detail. Why You Should Join Us At Deloitte, we provide an environment where you can grow your skills and be part of a team that is shaping the future of the industry. If you are a driven individual who thrives in solving complex technical challenges, this is the place to take your career to the next level. This Senior Consultant role offers an exciting opportunity to contribute to cutting-edge projects in Financial Services technology development. If you are passionate about creating solutions that matter, we encourage you to apply.
Backend Developer (Python + AWS)
Valuelabs
Job Title: Backend Developer (Python + AWS) Experience: 5-8 Years Location: Hyderabad About Us: We are a cutting-edge technology company looking for an experienced Backend Developer (Python + AWS) to join our dynamic team. If you are passionate about backend development, have a strong expertise in Python, Django, and AWS, and want to work on innovative projects, we want to hear from you! Responsibilities: Backend Development: Design, develop, test, and deploy high-quality backend services using Python and Django. Develop robust RESTful APIs to facilitate communication between the frontend and microservices. Ensure seamless integration and data exchange between backend services and frontend applications. Collaboration: Work closely with the frontend development team to integrate backend services with the UI effectively. Collaborate with the Data Engineering team to design and implement data pipelines and storage solutions. Database Management: Develop and maintain database schemas, ensuring data consistency, integrity, and optimized performance. Troubleshooting & Debugging: Troubleshoot and debug complex issues in backend services and APIs, ensuring smooth and efficient operations. Code Quality & Best Practices: Participate in code reviews and ensure that the team adheres to high coding standards and best practices. Stay up-to-date with the latest trends and technologies in backend development and apply them to improve system efficiency. DevOps Collaboration: Collaborate with the DevOps team for smooth deployment and monitoring of backend services. Feature Implementation & Documentation: Contribute to the design and implementation of new features and functionalities. Develop and maintain clear and concise technical documentation and guides for backend services. QA Collaboration: Work closely with the QA team to ensure thorough testing, validation, and quality assurance of backend services. Task Planning: Participate in the planning and prioritization of project tasks and deliverables to ensure smooth progress. Requirements: Primary Skills: Backend Services Programming in Python Extensive experience with backend programming using Python. Django Framework: Experience working with Django for developing backend services. RESTful APIs: Solid experience in building and maintaining RESTful APIs. AWS Services: Proficiency with AWS Services such as S3, Lambda, EC2/ECS, IAM, and DynamoDB for cloud-based applications. Database Management: Strong experience in managing databases, schema design, and ensuring data consistency and integrity. Experience: 5+ years of experience in backend development with a focus on Python and AWS services. Additional Skills: Strong problem-solving skills and the ability to debug complex issues. Effective communication skills and ability to work well in a collaborative, team-oriented environment. Can-do attitude with a passion for developing scalable software solutions. A B.Sc. in Computer Science or related fields (or equivalent experience). Innovative Environment: Work on groundbreaking projects using the latest technologies in the backend development space. Collaborative Team Culture: Be part of a team that values open communication and collaboration. Career Growth: Opportunities to learn, grow, and advance your career with continuous skill development and training. Competitive Benefits: We offer competitive compensation and a comprehensive benefits package to support your well-being. Apply Today! If you re a skilled Backend Developer with a passion for Python, AWS, and backend technologies, we encourage you to apply and join our growing team! Qualification : A B.Sc. in Computer Science or related fields (or equivalent experience).
Ai/ml Developer
Infor
Summary: As an AI/ML Developer, you ll play a pivotal role in creating and delivering cutting-edge enterprise applications and automations using Infor s AI, RPA, and OS platform technology. Your mission will be to identify innovative use cases, develop proof of concepts (PoCs), and deliver enterprise automation solutions that elevate workforce productivity and improve business performance for our customers. Title: Software Engineer Experience: 2-5 years. Skill: AI/ML, Python, AWS, SQL Location: Hyderabad Key Responsibilities: Use Case Identification: Dive deep into customer requirements and business challenges. Identify innovative use cases that can be addressed through AI/ML solutions. Data Insights: Perform exploratory data analysis on large and complex datasets. Assess data quality, extract insights, and share findings. Data Preparation: Gather relevant datasets for training and testing. Clean, preprocess, and augment data to ensure suitability for AI tasks. Model Development: Train and fine-tune AI/ML models. Evaluate performance using appropriate metrics and benchmarks, optimizing for efficiency. Integration and Deployment: Collaborate with software engineers and developers to seamlessly integrate AI/ML models into enterprise systems and applications. Handle production deployment challenges. Continuous Improvement: Evaluate and enhance the performance and capabilities of deployed AI products. Monitor user feedback and iterate on models and algorithms to address limitations and enhance user experience. Proof of Concepts (PoCs): Develop PoCs to validate the feasibility and effectiveness of proposed solutions. Showcase the art of the possible to our clients. Collaboration with Development Teams: Work closely with development teams on new use cases. Best Practices and Requirements: Collaborate with team members to determine best practices and requirements. Innovation: Contribute to our efforts in enterprise automation and cloud innovation. Key Requirements: Experience: A minimum 3 years of hands-on experience in implementing AI/ML models in enterprise systems. AI/ML Concepts: In-depth understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Languages: Proficiency in Python or R, along with querying languages like SQL. Data Handling: Ability to work with large datasets, perform data preprocessing, and wrangle data effectively. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Frameworks and Libraries: Familiarity with scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking abilities to identify problems, formulate hypotheses, and design experiments. Business Process Understanding: Good understanding of business processes and how they can be automated. Domain Expertise: Familiarity with Demand Forecasting, Anomaly Detection, Pricing, Recommendation, or Analytics solutions. Global Project Experience: Proven track record of working with global customers on multiple projects. Customer Interaction: Experience facing customers and understanding their needs. Communication Skills: Excellent verbal and written communication skills. Analytical Mindset: Strong analytical and problem-solving skills. Collaboration: Ability to work independently and collaboratively. Educational Background: Bachelor s or Master s degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or specialization in AI, ML, Statistics & Probability, Deep Learning, Computer Vision, or NLP/NLU is advantageous. About Infor: Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.
Cloud Database Administrator
Infor
About Us: Infor is a global leader in business cloud software, providing industry-specific solutions to customers worldwide. We help organizations manage digital transformation, leveraging cutting-edge technology to improve their operations. With a focus on industry suites, data science, and integration, Infor is trusted by over 60,000 organizations globally. We are seeking a Senior Database Administrator to join our dynamic team, where you will be responsible for the management and optimization of our database infrastructure, as well as implementing automation solutions on AWS. A Day in the Life of a Senior Database Administrator: Database Management and Maintenance: Oversee and maintain multiple databases, including PostgreSQL, Cassandra, MSSQL Server, and OpenEdge, ensuring their optimal performance, security, and reliability. Automation Strategy Implementation: Design and implement automation strategies to streamline database processes using AWS CLI, scripting languages (e.g., Shell, Python, PowerShell), and other tools, minimizing manual errors. Cloud Database Management (AWS): Deploy, manage, and monitor databases on Amazon Web Services (AWS), including services like Amazon RDS, Amazon Aurora, EC2, and S3 storage. Backup, Recovery, and High Availability: Develop and implement comprehensive data backup and recovery strategies, disaster recovery plans, and high availability solutions using AWS services. Performance Tuning & Optimization: Conduct performance tuning and optimization of database systems to ensure they can handle large datasets and support high-traffic applications. Security Implementation: Design and enforce security protocols to protect sensitive data, including firewalls, encryption, role-based access control, and ensure compliance with security standards on AWS and Azure. Collaboration & Guidance: Collaborate with development teams to integrate database systems into applications, and offer best practices on database design and implementation. Database Schema Management: Manage and implement database schema updates and version control. Monitoring & Reporting: Monitor database performance metrics and create reports to identify trends, potential issues, and suggest improvements. Mentorship: Mentor junior database administrators and provide guidance on day-to-day database operations. Technical Documentation: Write and document technical runbooks, processes, and procedures for consistent database administration. Database Maintenance & Patching: Perform monthly consolidated maintenance during office and after-office hours, including patching, updates, and upgrades on database resources. Required Skills: PostgreSQL Expertise: In-depth experience in managing and administering PostgreSQL databases, including performance tuning, backup and recovery, and security. MSSQL Server: Hands-on experience with MSSQL Server for daily database activities and performance management. AWS Cloud Services: Strong experience with AWS services like RDS, EC2, S3, IAM, and the AWS CLI for deploying, managing, and scaling databases in the cloud. Automation & Scripting: Proficiency with automation tools and scripting languages like Shell, PowerShell, and Python to automate tasks and processes. SQL Proficiency: Strong knowledge of SQL and the ability to write complex queries for performance tuning and debugging. Database Migration & Replication: Experience with database migration and replication processes. Database Architecture: Excellent understanding of database architecture and design principles for high-performance systems. Educational Requirements: A Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Communication & Collaboration: Strong communication skills to collaborate with cross-functional teams and guide junior staff. Preferred Qualifications: Automation Tools: Experience with Ansible, Puppet, or Chef for database automation. Other Databases: Familiarity with MSSQL Server, Cassandra, OpenEdge, and other database technologies. Compliance Knowledge: Understanding of government compliances like GDPR and HIPAA. Monitoring Tools: Knowledge of monitoring tools such as Monocle, Sumologic, Splunk, and CloudWatch. Industry-Leading Solutions: Work with a team that builds cutting-edge cloud solutions for diverse industries. Collaborative Environment: Join a team that encourages knowledge-sharing, innovation, and growth. Career Development: Continuous learning and career growth through mentorship and training. Competitive Compensation: Enjoy a comprehensive benefits package and competitive salary. If you are an experienced Database Administrator with a passion for AWS, PostgreSQL, and automation, apply today to be a part of Infor s global team driving digital transformation! Qualification : A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Senior Programmatic Specialist
Google Careers
Digital Marketing Consultant - gTech Ads at Google Company Overview: Google creates products and services that aim to make the world a better place. gTech Ads is an integral part of Google's efforts to help customers maximize their success with Google Ads products. gTech Ads provides technical support and media services to customers, helping them optimize and implement ad campaigns, gain insights, and resolve complex business challenges. The team works cross-functionally with sales, product, and engineering teams to develop innovative solutions and tools that improve the customer experience and drive business growth. Job Overview: As a Digital Marketing Consultant within gTech Ads, you will be responsible for delivering consultative, technical, and media solutions to help Google Ads clients optimize their advertising campaigns and achieve their business goals. You will work with external advertisers, building strong relationships, offering strategic guidance, and leveraging Google Ads solutions to address their unique needs. You will work with internal teams to deliver customized solutions, driving product adoption, business growth, and ROI for clients. Responsibilities: Advise Key Clients: Leverage your expertise in digital marketing and technical solutions to address business challenges, providing consultative support and driving the success of Google Ads clients. Help clients design effective media plans and implement solutions to meet their advertising goals. Client Relationship Management: Build and nurture relationships with external advertisers, supporting all aspects of campaign management from planning and pitching to implementation and optimization. Use your expertise to ensure product adoption and business growth for clients. Collaborate Across Teams: Work closely with sales, product, and engineering teams to drive growth plans for clients. Collaborate on insights, solutions, and strategies for vertical and sub-verticals to ensure that clients receive tailored, data-driven recommendations and optimizations. Consultative Marketing Solutions: Deliver digital marketing solutions that address client issues by providing both media strategies and technical guidance. Help clients optimize their campaigns and improve their overall advertising performance. Advocate for New Product Features: Promote new product features, assist with adoption through account setup, and provide technical guidance on infrastructure and data integration in Google Ads. Minimum Qualifications: Education: Bachelor s degree or equivalent practical experience. Experience: 5 years of experience in digital media or digital marketing/advertising solutions, with a focus on implementing and measuring digital advertising campaigns and providing client solutions. 4 years of experience in a client-facing role, collaborating with partners across multiple levels. Preferred Qualifications: Experience: 5 years of experience working with internet products and technologies. Knowledge of programmatic platforms and products, and familiarity with the performance advertising market or online ads landscape. Skills: Strong data analysis skills, with the ability to interpret datasets, identify trends, and translate findings into compelling narratives. Excellent business negotiation, influencing, and communication skills, with the ability to collaborate cross-functionally and build relationships with multiple teams and stakeholders. Proven project management skills, with the ability to oversee and manage multiple, simultaneous solutions supported by internal teams. About the Team: gTech Ads supports Google s advertising customers by providing both strategic and technical services. The team is a trusted advisor to Google s customers, helping them get the most out of Google Ads through personalized, scalable solutions. Whether addressing bespoke business needs or scaling solutions globally, gTech Ads ensures that clients achieve maximum ROI and success with Google s advertising products. What We Offer: Collaborative Culture: Work in a team that values innovation, problem-solving, and creative thinking. Impactful Work: Help businesses of all sizes achieve their advertising goals and grow with Google s powerful advertising solutions. Growth Opportunities: Collaborate with top professionals across various fields, including sales, product, and engineering teams. Apply Now to join Google s gTech Ads team and help shape the future of digital marketing for global advertisers. Qualification : Bachelors degree or equivalent practical experience.
AI/ML Developer
Infor
Position: AI/ML Developer Company: Infor Location: Hyderabad, India Experience: 2-5 years Skills: AI/ML, Python, AWS, SQL Role Summary: As an AI/ML Developer at Infor, you will be at the forefront of creating and delivering state-of-the-art enterprise applications and automation solutions powered by Infor s AI, RPA, and OS platform technologies. Your primary mission will be to identify impactful AI/ML use cases, develop proof of concepts (PoCs), and deliver automation solutions that drive workforce productivity and enhance business outcomes for our clients. Key Responsibilities: Use Case Identification: Work closely with customers to understand their business challenges and identify opportunities for AI/ML solutions to address these needs. Data Insights: Perform exploratory data analysis on large, complex datasets to uncover key insights. Assess data quality and share findings that can inform decision-making. Data Preparation: Collect, clean, preprocess, and augment datasets for training and testing AI models, ensuring they are ready for AI tasks. Model Development: Design, train, and fine-tune AI/ML models, evaluating them against appropriate performance metrics and optimizing for maximum efficiency. Integration & Deployment: Partner with software engineers to integrate AI/ML models seamlessly into enterprise applications and systems. Address deployment challenges to ensure smooth production workflows. Continuous Improvement: Monitor the performance of deployed AI models, gather user feedback, and iterate to improve models, algorithms, and user experience. Proof of Concepts (PoCs): Develop PoCs to demonstrate the feasibility and effectiveness of AI/ML solutions, showcasing the potential of new technologies to clients. Collaboration: Work closely with development teams to explore and implement new use cases for AI and automation. Best Practices: Collaborate with your team to establish best practices and ensure high-quality development standards. Innovation: Contribute to the innovation of cloud-based enterprise automation solutions and the development of cutting-edge AI technologies. Key Requirements: Experience: Minimum 3 years of hands-on experience in implementing AI/ML models in enterprise environments. AI/ML Knowledge: Strong understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Skills: Proficiency in Python or R, with experience in SQL for querying databases. Data Handling: Expertise in working with large datasets, performing data preprocessing, and effectively managing data pipelines. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML is preferred for deploying machine learning solutions. Frameworks & Libraries: Familiarity with machine learning libraries like scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking and problem-solving abilities, with the capacity to design and run experiments to validate hypotheses. Business Process Understanding: Knowledge of business processes and how they can be automated through AI and ML. Domain Expertise: Experience or interest in areas like Demand Forecasting, Anomaly Detection, Pricing, Recommendations, or Analytics. Global Experience: Proven experience in working with global customers on diverse projects, understanding their needs, and delivering tailored solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain complex AI concepts to clients and team members. Collaboration & Independence: Ability to work both independently and as part of a team, collaborating with cross-functional teams to drive success. Educational Background: A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or expertise in AI, ML, Deep Learning, NLP/NLU, Computer Vision, or similar domains is highly desirable.
Angular Developer, Senior
Infor
Position: Angular Developer / Software Engineer Location: Hyderabad, India Experience: 3-5 Years About Infor: Infor is a global leader in cloud-based business software solutions, specializing in industry-specific markets. We deliver comprehensive industry suites that are powered by data science, user-centric design, and seamless integration with existing systems. Over 60,000 organizations around the world rely on Infor to drive digital transformation and overcome market disruptions. To learn more, visit www.infor.com. Role Overview: We are looking for a talented Angular Developer to join our team and develop dynamic web applications for ERP solutions using the latest Angular framework. You will be responsible for creating rich, responsive user interfaces while working closely with other team members to ensure the development of high-quality products. This role requires strong expertise in HTML5, CSS, and Angular, along with a passion for collaborative problem-solving and delivering sophisticated designs. Key Responsibilities: Requirement Analysis: Understand business requirements and translate them into technical specifications for web application development. Application Performance: Ensure the performance, quality, and responsiveness of web applications. Feature Development: Work with the team to design, define, and implement new features that enhance the user experience. Troubleshooting & Optimization: Identify bottlenecks in the application, fix bugs, and improve performance. Code Maintenance: Contribute to maintaining high-quality code, organizing it effectively, and automating development processes. Key Requirements & Experience: Experience: 3+ years of experience in web development, with a focus on Angular development. Angular Expertise: Strong knowledge of the Angular framework and TypeScript, with a solid understanding of JavaScript. Web Technologies: Proficiency in HTML5, CSS, and XML. Backend Knowledge: Familiarity with Node.js for server-side development. API Integration: Experience working with SOAP and RESTful APIs, with a solid understanding of HTTP request handling. API Testing: Proficiency in testing APIs using tools like SOAPUI and Postman. Infrastructure Understanding: Basic knowledge of proxy servers, on-premise, and cloud environments. Communication & Troubleshooting: Strong communication skills and the ability to troubleshoot and resolve technical issues efficiently. At Infor, you'll have the opportunity to work on cutting-edge technology that transforms how industries operate. Join our dynamic team to work on innovative cloud solutions and contribute to shaping the future of ERP systems.
Senior Software Engineer - Java Developer
Newgen Software
Position: Sr. Software Engineer Experience: 2-4 Years Key Responsibilities: Participate in design discussions, coding, code walkthroughs, peer code reviews, unit testing, system testing, UAT, demos, POCs, installation, and maintenance of software modules. Contribute to the creation and maintenance of the following project deliverables: Software prototypes System architecture and software design documents User interfaces developed as per UX guidelines Code adhering to established coding standards Peer code review artifacts Test plans and test cases Installation and deployment documents Release and technical documentation Document and demonstrate solutions by developing technical documentation, flowcharts, layouts, diagrams, charts, and clear, well-commented code. Ensure project tasks are completed within defined effort and timelines. Design system specifications, standards, and programming requirements. Write test cases and perform unit testing, system testing, and negative testing. Troubleshoot issues through log analysis and database query optimization. Conduct system analysis to improve operational processes. Stay updated with emerging development tools, technologies, and programming techniques. Maintain confidentiality and ensure data security. Collect, analyze, and summarize development and service issues to improve processes. Study system flow, data usage, and work processes to develop effective software solutions. Ensure adherence to quality processes and standards. Desired Profile: B.E./B.Tech in Computer Science / IT or MCA / M.Tech (or equivalent). 2-4 years of relevant industry experience. Strong understanding of Object-Oriented Programming (OOP), Multi-Tier Software Development, Component Architecture, and Web-Based Software. Knowledge of system integration challenges and solutions. Ability to gather, analyze, and interpret data to make logical decisions. Proficiency in: Core Java, JSP, Servlets, EJB, SQL/Oracle, J2EE, and other relevant Java technologies. Demonstrated skills in: Coding: Strong technical knowledge and system analysis. Testing: Analytical thinking, critical mindset, and problem-solving abilities. Troubleshooting: Ability to apply architectural knowledge and technical expertise. Key attributes: Clear thinking and flexibility Effective time management and communication (verbal & written) Analytical thinking and problem-solving Eye for detail and strong decision-making skills Teamwork, adaptability, and openness to change Strong sense of responsibility and commitment to First Time Right delivery. Qualification : B.E./B.Tech in Computer Science / IT or MCA / M.Tech (or equivalent).
Technical Solutions Architect
Planful
Job Responsibilities Lead discussions, design, and architect strategic initiatives from Customer Value Engineering, including performance optimizations and enterprise solution integrations. Maintain and organize a Systems/Integration repository across the Planful ecosystem to enhance reusability, rapid deployment, and scalability. Develop customized solutions within the Planful platform to support specific business requirements and Customer Value Engineering goals. Collaborate with Engineering architects on development initiatives for new features, focusing on scalable logging and methods to increase Planful customer adoption. Research and monitor application usage trends to deliver proactive insights for Customer teams and optimize application health. Enhance integration monitoring and alert capabilities across the Planful platform. Qualifications Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or equivalent experience. 1+ years of experience with SQL Server, SSAS, MDX, SSRS, and MongoDB. Proficiency in Python, Redis, JavaScript, jQuery, Node.js, HTML5, and CSS3. Experience in SOAP and RESTful web services. Experience with .NET and Java-related application development technologies. Technical expertise in developing reports, integrations, extensions, workflows, and other components. Experience with SQL Sentry, Sumo Logic, and other monitoring tools for workflow and monitoring setup is preferred. Excellent verbal and written communication skills at all organizational levels. Preferred Qualifications Minimum 1 year of experience with planning and analytics software, digital transformation, or cloud-based analytics solutions (Planful experience preferred). Working knowledge of income statements, balance sheets, cash flow statements, budgeting, forecasting, and financial consolidations. Hands-on experience leading or participating in data integration projects using enterprise-grade ETL tools (Boomi experience highly desirable). Knowledge of cloud platform scaling and performance optimization. Excellent written and verbal communication skills. Qualification : Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or equivalent experience
Engineering Manager, Enterprise Data And Engineering, Corpeng
Google Careers
About the Job Like Google's own ambitions, the work of a Software Engineering Manager goes far beyond Search. This role combines technical leadership with team management to drive large-scale, impactful projects while enabling your team of engineers to deliver their best work. You ll not only contribute to product strategy and manage project goals but also foster the growth of talented engineers across your team. Google s engineering teams tackle challenges in information retrieval, artificial intelligence, distributed computing, large-scale system design, networking, security, and data analytics, among others. As a manager, you will lead engineering teams across multiple locations and drive high-impact solutions for complex challenges. Our Enterprise Data & Engineering (EDE) team is focused on unlocking the value of enterprise data, making it accessible, reliable, secure, and actionable for Googlers. Corp Eng builds business solutions that scale globally to support Google s internal operations and services. Our mission is simple: We are Google for Googlers delivering tools and experiences that help every Googler create impactful products and services. Responsibilities Conceive and deliver data management and analytics solutions to meet Googlers' needs, driving high-impact projects across Google. Influence Connected Data strategy, ensuring consistent and secure data assets built on canonical entity schema for higher-level insights. Ensure data integrity and security, implementing procedures to maintain the highest levels of confidentiality and data protection. Partner with internal teams to define and implement solutions that improve business processes. Maintain the highest standards of development practices, including technical design, systems configuration, testing, and writing clean, modular code. Minimum Qualifications Bachelor's degree or equivalent practical experience. 8 years of experience in software development using one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of technical leadership experience overseeing projects, with 2 years in people management or team leadership. Experience in data management, data integration, distributed databases, and SQL pipelines. Preferred Qualifications Master s degree or PhD in Computer Science or a related technical field. Experience implementing and integrating third-party applications in domains like Finance, Supply Chain, HR, and Marketing.
Senior/lead Data Engineer
Qualcomm
General Summary: Qualcomm is at the forefront of technological innovation, leveraging data-driven insights to power business decisions. We are seeking a Senior/Lead Data Engineer to design, develop, and implement advanced data solutions to support Qualcomm s business goals. This role will involve building scalable data pipelines, integrating large datasets, and collaborating with cross-functional teams to unlock the value of data. As a key technical leader, you will help shape Qualcomm s data infrastructure and work closely with data scientists, analysts, and business stakeholders to ensure the delivery of reliable and high-quality data solutions. Key Responsibilities: Design and implement scalable data pipelines and ETL processes for structured and unstructured data. Develop and optimize data lake, data warehouse, and real-time data processing solutions. Collaborate with data scientists, analysts, and product teams to understand data requirements and translate them into robust data solutions. Ensure data quality, reliability, and security across all data systems and pipelines. Build and maintain data models that support business intelligence and advanced analytics needs. Optimize data workflows for performance, scalability, and cost-efficiency. Provide technical leadership and mentorship to junior data engineers. Stay up to date with emerging technologies and recommend solutions to improve data architecture. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Information Systems, Engineering, or related field. 5+ years of experience in data engineering or related roles. Proficiency in Python, SQL, and Scala, with experience in building scalable ETL pipelines. Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka). Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Solid understanding of data modeling, data architecture, and real-time data processing. Experience with CI/CD, containerization (Docker, Kubernetes), and DevOps practices. Preferred Qualifications: Knowledge of machine learning pipelines and working with data science teams. Experience with streaming data frameworks (e.g., Apache Flink, Spark Streaming). Strong understanding of data governance, compliance, and security best practices. Excellent problem-solving, communication, and team collaboration skills. Why Join Qualcomm? At Qualcomm, you ll work on cutting-edge projects, collaborating with global teams to solve challenging problems. We offer: Continuous learning and growth opportunities. Flexible working arrangements and a supportive work culture. The chance to work with innovative technologies and industry leaders.
Senior Software Engineer
Hsbc
About the Role Join HSBC and take the next step in your career as a Senior Software Engineer. At HSBC, we offer opportunities, support, and rewards to help you fulfill your potential and take your career in exciting new directions. As one of the largest banking and financial services organizations globally, we operate in 64 countries and territories, providing you with the chance to grow in an international, dynamic environment. In this role, you will be responsible for providing functional support to the HR system globally, assisting in payroll processing, troubleshooting, and working with various teams to resolve issues. Your expertise will play a key part in maintaining system efficiency and supporting business operations. Key Responsibilities Provide global functional support for payroll and HR system tasks, including troubleshooting payroll issues and assisting with production payroll processing. Analyze payroll issues, prepare detailed reports, and collaborate with technical teams to facilitate defect resolution. Maintain and update payroll manuals, SOPs, and KBAs to ensure relevance and accuracy. Prioritize daily tasks and assist team members in troubleshooting and technical issue analysis. Promote process improvement initiatives to enhance efficiency and reduce errors. Standardize processes across regions within Tier-2 BAU support. Identify risks in BAU processes and propose proactive solutions. Support shift work, including weekend coverage, as required. Requirements To be successful in this role, you should have: Fluent spoken and written English communication skills. Strong understanding of SAP HCM Personnel Administration, Info Types, and Payroll Configuration. In-depth knowledge of the EC-Payroll calculation process, including payroll clusters, retro-calculation, taxation, and claims processes. Experience providing support to SAP HCM/Payroll in a multi-country payroll processing environment. Familiarity with SuccessFactors EC Payroll, EC Time Management, and EC Integration Center/ORD Reports. Knowledge of integration between EC and ECPY and experience resolving employee master data replication issues is a plus. SAP Payroll localization knowledge for countries like Mexico, USA, UK, MENA, HK, and China is highly desirable. Ability to build strong client relationships and share knowledge with the team. Proficiency with Microsoft Office (Excel, PowerPoint). Basic knowledge of monitoring tools such as Splunk and Control-M for integration monitoring is advantageous. Understanding of file transmission and transformation in integration environments. Experience with system health checks and troubleshooting HR applications.
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