BIG Data Platform Automation Engineer Jobs in Hyderabad

Director UI/UX Design (User Experience Leadership) | Salesforce Hyderabad, India Full-Time | Design & User Experience | India Hyderabad Lead the Future of Enterprise Design at Salesforce We re looking for a seasoned design executive and product strategist to lead high-impact design teams focused on building intuitive, intelligent, and engaging user experiences. You will drive the evolution of our next-generation AI-driven CRM and experience platform, redefining how users engage with data, automation, and digital workflows. What You ll Be Doing Lead and inspire a team of top-tier designers across multiple products and platforms Recruit, mentor, and retain world-class UI/UX talent Drive the strategic vision for user-centered design across the Salesforce digital experience platform Partner with cross-functional stakeholders in Product, Engineering, and Research to build high-impact user experiences Deliver cutting-edge AI-powered, agentic interfaces that use contextual data, smart assistance, and natural interactions to simplify workflows Champion design thinking and a systems-level approach to solving complex enterprise UX challenges Own the design execution from ideation to launch ensuring consistency, usability, and excellence at every touchpoint Utilize analytics, user research, and feedback to continually iterate and enhance product design Promote and enforce Salesforce Lightning Design System (SLDS) standards and reusable design patterns Key Qualifications 10+ years of experience designing innovative, user-focused digital products in high-performance environments 3+ years in a senior leadership or people management role within UI/UX or product design teams Proven success leading the full product lifecycle from concept and prototyping to final delivery Deep expertise in user-centered design methodologies, UX research, and interaction design Experience leading large-scale digital transformations in enterprise or SaaS environments Strong communication and influencing skills to align design vision across global stakeholders Comfortable working in agile, fast-paced, and collaborative environments Mastery of industry-standard tools like Sketch, Figma, Photoshop, Illustrator A passion for simple, elegant solutions to complex user problems Degree in Design, HCI, or a related field (or equivalent practical experience) Preferred Experience (Nice to Have) Expertise in design systems and UI frameworks Background in CRM, enterprise software, or complex data-driven platforms Familiarity with accessibility standards, responsive design, and mobile-first design principles At Salesforce, design is at the heart of everything we do. From shaping intelligent interfaces to creating cohesive multi-platform experiences, we empower designers to lead innovation. You ll be part of a global team working on products that help millions of users work smarter, connect deeper, and transform industries. We re proud to be consistently ranked among the Best Places to Work, offering a diverse, inclusive, and purpose-driven culture where designers thrive and grow. Apply now to join a team shaping the next era of enterprise user experience. Let s build what s next together. Qualification : Degree in Design, HCI, or a related field (or equivalent practical experience)

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.

Senior Data Engineer Hyderabad (On-site, Full-time) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years Industry: AI & Data Science Company: Blend About Blend: Blend is a leading AI services company focused on solving real-world problems through the fusion of artificial intelligence, data science, and human ingenuity. We believe in co-creating meaningful impact by aligning top-tier talent with cutting-edge technology. Our goal is to deliver transformative solutions that unlock value for our clients and enrich the work and lives of our people. Job Overview: We are seeking a highly skilled Senior Data Engineer with strong experience in AWS, Databricks, Python, SQL, and Apache Spark/PySpark. You will be responsible for designing, developing, and maintaining scalable data architectures and pipelines to support analytics, machine learning, and business intelligence efforts across the organization. Key Responsibilities: Design and build scalable data pipelines using AWS services (Glue, Lambda, S3, EMR) and Databricks Notebooks & Workflows. Develop and manage robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Implement distributed data processing using Apache Spark or PySpark. Create and maintain data lakes in AWS Databricks. Collaborate with data scientists, analysts, and cross-functional teams to provide high-quality, accessible datasets. Ensure adherence to data governance, quality, and security best practices. Monitor, troubleshoot, and optimize the performance of data systems. Conduct code reviews and enforce engineering best practices. Mentor junior engineers and support their technical growth. Required Qualifications: Bachelor's or Master s degree in Computer Science, Engineering, or related field. 5+ years of experience in Data Engineering, with 2+ years working in AWS Databricks environments. Strong programming skills in Python for data processing and workflow automation. Advanced expertise in SQL for data transformation and querying large datasets. Proficient in distributed data processing using Apache Spark/PySpark. Solid understanding of data modeling, data warehousing, and performance optimization techniques. Hands-on experience with AWS services such as Glue, S3, Lambda, and EMR. Familiarity with version control tools like Git or CodeCommit. Experience with workflow orchestration tools like Airflow or AWS Step Functions (preferred but not mandatory). Be part of a forward-thinking, AI-driven organization. Work with cutting-edge cloud technologies and data platforms. Thrive in a culture of innovation, mentorship, and continuous learning. Enjoy opportunities to grow technically and professionally while driving real-world impact. Apply Now to join Blend as a Senior Data Engineer and help build data infrastructure that powers intelligent decision-making. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.

Senior MLOps Engineer Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years (with 3 years specifically in ML Engineering) Company: Blend About Blend: Blend is a premier AI services provider committed to driving meaningful impact through data science, AI, and technology. We empower businesses by seamlessly aligning human expertise with artificial intelligence to unlock innovation and value. Job Summary: We are looking for a Senior MLOps Engineer with deep expertise in building, deploying, and managing ML pipelines on AWS. The ideal candidate will have hands-on experience with Amazon SageMaker and a strong foundation in Infrastructure as Code to support scalable and reliable ML operations. Key Responsibilities: Maintain and enhance ML pipelines on AWS, focusing on Infrastructure as Code (IaC) using CloudFormation. Implement essential pipeline extensions to support ongoing data science workflows. Document infrastructure usage, system architecture, and designs using tools such as Confluence, GitHub Wikis, and system diagrams. Serve as the internal expert on ML infrastructure, collaborating closely with data scientists to guide and support model deployment. Research and apply optimization strategies for ML workflows and infrastructure performance. Work independently and collaboratively with cross-functional teams to support ML product deployment and platform migration initiatives. Qualifications: 5+ years of hands-on DevOps experience with AWS Cloud. Proven track record of deploying at least two MLOps projects using Amazon SageMaker or similar AWS ML services. Strong proficiency in AWS services including SageMaker, ECR, S3, Lambda, and Step Functions. Expertise in Infrastructure as Code with CloudFormation across development, testing, and production environments. Solid understanding of MLOps best practices and fundamental data science principles. Proficient in Python for scripting and automation tasks. Experience with building and managing Docker images. Hands-on experience with Git-based version control systems such as AWS CodeCommit or GitHub, including GitHub Actions for CI/CD pipelines. Work with cutting-edge AI and ML technologies in a highly innovative environment. Collaborate with top-tier experts in data science and cloud engineering. Opportunities for professional growth, mentorship, and certification support. Competitive compensation package and dynamic work culture. Interested? Apply now to be part of Blend s mission to revolutionize AI-driven innovation!

Azure Data Engineer (Mid-Level) Hyderabad Location: Hyderabad, India Job Type: Full-Time | On-site/Hybrid Experience Level: 5+ Years Industry: Information Technology / Cloud Data Engineering Job Overview We are hiring an experienced Azure Data Engineer (Mid-Level) to join our team in Hyderabad. In this role, you will work closely with business stakeholders, analysts, and IT teams to design, implement, and manage scalable, high-performance data solutions on the Azure Cloud Platform. Your expertise in data modeling, ETL development, and cloud-based data warehousing will be critical in supporting data-driven decision-making across the organization. Key Responsibilities Analyze large datasets and deliver clear, actionable reports using statistical techniques. Design and implement data pipelines, data collection systems, and analytics strategies that enhance operational efficiency. Develop and maintain data systems, ensuring high data quality, consistency, and integrity. Collaborate with business stakeholders, analysts, and developers to translate business requirements into technical solutions. Design, build, and manage distributed data systems and applications on the Azure Cloud. Lead and execute ETL development, including data extraction, transformation, and loading using tools like Informatica or SSIS. Conduct technical design reviews, performance tuning, and testing of data workflows. Adapt to changing priorities and contribute as an individual contributor or team leader depending on project scope. Required Qualifications & Skills Bachelor s degree in Computer Science, Information Systems, or a related field. Minimum 5+ years of experience in data engineering, data analysis, or database design. Proficient in SQL and T-SQL for querying and managing relational databases. Hands-on experience with ETL frameworks such as Informatica or SSIS. Strong understanding of data modeling, data mining, and segmentation techniques. Experience working with structured and unstructured data sources. Proficient in statistical tools and packages (Excel, SSIS, SAS, etc.). Strong analytical mindset with excellent attention to detail and data accuracy. Preferred Skills (Good to Have) Experience with Python and Apache Spark for data manipulation and automation. Experience with modern data platforms: Azure Synapse Analytics Azure Databricks Amazon Redshift Prior experience in developing automation solutions using Python or similar scripting languages. Knowledge of Enterprise Data Warehousing (EDW) concepts and solutions. Competitive compensation package with benefits. Work with cutting-edge cloud technologies in real-world environments. Collaborative, fast-paced, and innovation-driven workplace. Career development support with continuous learning opportunities. A chance to make a tangible impact on enterprise-level data systems. Apply Now If you are a data-driven professional with a strong command of Azure and ETL tools, and you re looking to advance your career in data engineering, apply now and become part of a forward-thinking tech team based in Hyderabad! Qualification : Bachelors degree in Computer Science, Information Systems, or a related field.

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!

Data Analyst/BI Developer Location: Hyderabad, India Company Overview Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure, and services to drive specific business outcomes, including digital transformation, innovation, and operational agility. With a culture focused on building an employee-first, performance-based environment, Milestone has a history of supporting category-defining enterprise clients. We provide solutions in Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. For over 25 years, Milestone has been at the forefront of transforming the IT industry, applying best practices to deliver both short-term and long-term value to clients. By utilizing Intelligent Automation, we help businesses accelerate their IT transformation while improving operational efficiency. With a team of over 3,000 employees serving 200+ companies worldwide, we are committed to delivering innovation and improving productivity in business operations. Job Overview Milestone is seeking a talented and dynamic Data Analyst/BI Developer to join our team. This role involves developing and maintaining interactive dashboards and reports, optimizing SQL queries, and designing data models to support business needs. The ideal candidate will have a strong background in Tableau, SQL, and Power Apps, and will be responsible for transforming business requirements into technical solutions while ensuring data quality and integrity. Responsibilities: Develop and maintain interactive dashboards and reports using Tableau (strong experience required). Write and optimize SQL queries to extract, transform, and load (ETL) data from various sources. Design and implement data models and databases to support business needs. Work with cross-functional teams to understand business requirements and translate them into technical solutions. Create and manage Power Apps to automate workflows and improve business processes. Perform data validation to ensure data quality and integrity. Provide training and support to end-users on data tools and applications. Stay updated with the latest trends and best practices in data analytics and visualization. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. 7+ years of proven experience with Tableau for data visualization. 5+ years of strong proficiency in MS SQL Server and experience with relational databases. 2+ years of experience with Power Apps for creating business applications. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Experience with other data tools and technologies is a plus. At Milestone, we empower our employees to achieve their full potential in a collaborative and inclusive environment. As a Data Analyst/BI Developer, you will have the opportunity to work on innovative data solutions, enhance business decision-making, and drive meaningful change. Join us and be part of a dynamic team that is revolutionizing the way IT is deployed worldwide. Qualification : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

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.

Job Title: Senior Data Engineer Company Name: Zessta Job Type: Full-time Responsibilities: Analyze customer data to enhance customer experience and provide actionable insights. Build and maintain integrations to support advanced data science workflows, ensuring seamless interaction with the Product API. Actively participate in onboarding and training clients on how to use the product effectively. Provide insights into client-to-business interactions, ensuring that the data can be leveraged for strategic decisions. Act as a liaison between the client and the organization, ensuring both parties' needs and expectations are met. Identify opportunities for clients to expand their usage of the product, driving engagement and long-term value. Address customer complaints and requests, offering product support to improve overall satisfaction and experience. Skills and Experience: Excellent communication and interpersonal skills to work effectively with clients and internal teams. Strong understanding of data modeling and architecture. Hands-on experience with data integrations and data pipelining tools to connect systems and enable smooth data flow. Proficiency in programming languages, preferably Python or R, to process and analyze data. Experience with container orchestration platforms like Docker and Kubernetes. Familiarity with distributed computing frameworks such as Spark, Hadoop, and Dask to handle large-scale data processing. Experience with version control software such as Git to manage code and collaborate with teams. Knowledge of project management tools such as JIRA to track and manage project progress and tasks. Familiarity with tools like Figma and Mixpanel is a plus. Education and Experience: Bachelor s or Master s degree from premier institutes (preferred). 4-12 years of relevant experience in data engineering, data science, or related fields. What We Offer: Competitive salary and benefits package. Opportunities for career growth and skill development. The chance to work on cutting-edge technologies and impactful projects. If you have a passion for data engineering and improving customer experience, and you're ready to take on new challenges, we'd love to hear from you. Apply now to join our team at Zessta and contribute to driving innovation and business success! Qualification : Bachelors or Masters degree from premier institutes (preferred).

Introduction In this role, you'll be part of 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 globally. Our centers provide locally-based skills and technical expertise to drive innovation and the adoption of new technologies. A career at IBM Consulting involves building long-term relationships and collaborating closely with clients across industries. You'll work alongside visionaries to help them on their hybrid cloud and AI journeys, enhancing the value and impact of some of the most innovative companies in the world. With access to IBM s strategic partner ecosystem and cutting-edge technology platforms, including IBM Software and Red Hat, you will be empowered to accelerate client transformations and create meaningful change. Curiosity and a constant quest for knowledge serve as the foundation for success at IBM. In your role, you'll be encouraged to challenge the status quo, explore ideas beyond your current role, and come up with creative solutions that will make a significant impact across a wide network of clients. Our culture of evolution and empathy is centered on long-term career growth and development opportunities in an environment that celebrates your unique skills and experience. Your Role and Responsibilities As a Data Engineer at IBM, you will be a critical player in designing and developing applications, while also providing guidance to project teams on complex coding, troubleshooting, and execution. Your key responsibilities include: Solution Design and Construction: Lead the design and construction of new data solutions using the latest technologies, ensuring business value and meeting user requirements. Continuous Improvement: Advocate for continuous improvement by testing solutions and working within an Agile framework to enhance and iterate the developed solutions. Innovation: Stay current with the latest technology trends, discovering and implementing creative solutions to solve business problems. Collaboration: Work with diverse teams to deliver impactful data solutions while ensuring scalability, quality, and performance. Required Education Bachelor s Degree in a relevant field Required Technical and Professional Expertise Apache Spark (PySpark): In-depth knowledge of Spark s architecture, core APIs, and using 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. Proficiency in Python: Expertise in Python programming, particularly focused on data processing and manipulation. Data Processing Frameworks: Experience with Pandas, NumPy, and other data processing libraries. SQL Proficiency: Experience writing optimized SQL queries for large-scale data analysis and transformation. Cloud Platforms: Experience working with cloud platforms such as AWS, Azure, or GCP, including working with cloud storage systems. Preferred Technical and Professional Experience Architecture Strategy: Experience in defining, driving, and implementing architecture strategies and standards for end-to-end monitoring of data solutions. Cross-Team Collaboration: Partnering with technology teams, including application development, enterprise architecture, testing services, and network engineering. Security: Familiarity with detection and prevention tools for company products and customer-facing platforms. How You ll Grow At IBM, we offer opportunities for career development and provide an environment where you are encouraged to continuously grow, learn, and expand your expertise. Working with cutting-edge technologies and a diverse set of clients, you will be able to stay ahead of industry trends and make meaningful contributions that have a real impact. About IBM Consulting IBM Consulting helps organizations tackle their most pressing challenges through innovative and agile solutions. By partnering with clients, we drive technology transformations, helping them optimize their operations and leverage new technologies like AI, cloud, and data. Our team s expertise spans across many industries, delivering solutions that enable clients to navigate digital transformations. This role offers an exciting opportunity to work with leading technologies while contributing to client success in a highly dynamic environment. If you re passionate about solving complex data problems and delivering impactful solutions, IBM Consulting is the place to grow your career. Qualification : Bachelors Degree in a relevant field

Title: Senior Software Engineer Experience: 4-7 Years Skills: Strong C#, VB.NET, RPA (UiPath, Automation Anywhere, or Blue Prism) Location: Hyderabad Description & Requirements: Infor LN is an advanced Enterprise Resource Planning (ERP) software which is explicitly designed to cater to the business needs of the manufacturers. It facilitates quick and cost-effective integration across various supply chains. Requirement: Proficiency in .NET programming languages (C#, VB.NET) and frameworks. Knowledge of any RPA tools such as UiPath, Automation Anywhere, or Blue Prism. Essential Duties: Implement, configure, and deploy Infor s automation solutions. Ensure best practices are followed in delivering quality solutions to customers. Design and develop customizations, integrations, and workflows by applying product knowledge and leveraging Infor OS platform. Collaborate with customers, project stakeholders, and product development to resolve technical issues and limitations encountered in the product, environment, and/or custom solutions developed. Provide timely and high-quality specifications, estimates, development, and testing of integrations to support implementation projects. Offer technical input to Business Consultants/System Architects in designing and specifying integrations. Enable / mentor less experienced colleagues. Stay updated with new Infor technologies and best practices to support customers. Provide support to the Infor support organization in the integration sphere when required. Broaden knowledge into other technical areas such as Extensibility and Mongoose. Carry out coding in line with Infor standards. Identify and develop innovative automation use cases. Develop POC s to validate proposed solutions. Contribute to Infor s enterprise automation and cloud innovation efforts. Basic Qualifications: Minimum 4 years of experience in ERP solutions. Ability to lead technical or functional workstreams on projects with high levels of complexity. Proven track record of working with global customers on large RPA projects. Ability to engage with customers and understand their requirements. Strong understanding of ERP / enterprise applications, business processes and automation. Experience working in software product companies. Excellent communication and problem-solving skills. Ability to work independently and collaboratively. Bachelor s or master s degree in computer science or related field. Preferred Qualifications: Prior experience in Infor Cloud Suites, Infor OS, RPA or AI would be an advantage. 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. Qualification : Bachelors or masters degree in computer science or related field.

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.

Job Title: DevOps Engineer Location: Hyderabad, India About Celigo: At Celigo, we are revolutionizing the future of application integration with cutting-edge strategies and technologies. Our team is dedicated to making complex integrations seamless, and we pride ourselves on delivering innovative solutions. Our core mission is simple: enable independent, best-of-breed applications to work together seamlessly. We believe that every department and business end user should have choices when selecting software, and integration challenges should never hinder business progress. Your Role: Celigo powers integration for customers globally through our Integrator.io iPaaS platform, which handles millions of transactions daily. We own mission-critical, large-scale services in the iPaaS space, requiring us to develop and maintain highly scalable services within cloud environments. We are seeking passionate DevOps engineers who love managing modern, large-scale services in production on the cloud. Our DevOps charter focuses on enabling Development and QA teams to deliver high-quality products quickly, safely, and in compliance with our standards, using automation, tooling, and processes. As part of the DevOps team, you will work towards building a continuous value delivery pipeline and ensuring top-tier customer satisfaction. Education: Master's/Bachelor's degree in Computer Science/Engineering, Software Engineering, or a related discipline. Experience: 5-7 years of total experience in software product development organizations, with at least 4 years in a DevOps role. Cloud Skills: Hands-on experience managing mission-critical, large-scale product operations such as provisioning, deployment, upgrades, patching, and incidents in cloud production environments. Must have working knowledge of public cloud services, preferably AWS. Automation Skills: Proficient in Infrastructure as Code (IaC) using Terraform and scripting with Python/Bash. Familiar with version control systems like Git. Configuration Management: Good knowledge of configuration management and automation tools such as Chef, Ansible, Puppet. Security: Basic understanding of security compliance standards like SOC2, HIPAA, and GDPR. CI/CD Expertise: Expertise in designing, delivering, and maintaining CI/CD pipelines with tools like Jenkins. Troubleshooting & Analytical Skills: Strong problem-solving, troubleshooting, and analytical skills demonstrated in previous roles. Developer Mindset: Developer experience with an emphasis on automation and system optimization. Agile Environment: Experience working in an Agile development environment. Monitoring & Observability: Experience with enterprise-level monitoring systems is highly desirable. Communication Skills: Excellent verbal and written communication skills. Platform Deployment: Build and deploy the Integrator.io platform across various environments (Production, Staging) in the cloud. Automation: Leverage automation tools to automate infrastructure provisioning, code deployment, monitoring, and notifications. Tool Administration: Research, deploy, and manage essential tools like Splunk, Kafka, etc., to support the platform. Collaboration with Security & Compliance Teams: Work closely with the security team to gather data points for audits and address security gaps identified through programs like HackerOne. CI/CD Pipeline Design: Design and build CI/CD pipelines for Integrator.io, collaborating with senior architects and engineers. Engineering Excellence: Implement best practices in DevOps, continuously raising the standard for engineering excellence. The Best Candidate: Passionate about creating a world-class DevOps organization. Proven ability to manage large distributed systems in cloud production environments. Solid understanding of how infrastructure and software components interact. Experience working with globally distributed teams. Enthusiastic about learning new techniques in complex distributed systems and solving challenging problems on the cloud. Skilled at automating tasks using high-level programming languages. Thrives in a fast-paced, dynamic environment with shifting priorities. Quick to learn and knows when to lead and when to listen. Why You'll Love It Here: Everything Integrated: We solve a critical challenge that affects almost every business integrating cloud apps. Automation Nation: We're the only iPaaS solution that automates business processes across multiple cloud applications using a single prebuilt integration. Celigo Values: Our guiding principles foster a collaborative, innovative environment as we scale. Take A Stand: Celigo s initiative promotes diversity, equity, and inclusion within our company. Work-Life Balance: Starting from your first year, we offer three weeks of vacation, plus holidays to recharge and spend time with loved ones. Perks & Benefits: We offer a comprehensive benefits package, a tech stipend, pre-tax commuter expense reimbursement, recognition opportunities, and many other perks. Celigo is committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, in compliance with legal requirements.

Engineering Manager - Platform Location: Hyderabad, India. We re revolutionizing the integration industry and we want you to join us! Our core mission at Celigo is simple: To make automation of business processes as simple as possible by enabling anyone in the enterprise to build or deploy integrations across thousands of cloud applications. You get the best of both worlds: a high energy driven start-up culture with a company that has established itself in the dynamic high growth iPaaS market with thousands of value driven customers. Your Role Celigo is looking for an experienced Engineering manager to lead one of our Platform teams. Our platforms are built to be highly available and scalable supporting large-scale transactions. Our criteria of a successful engineering leader is one who understands the business landscape, is excited to work with people, highly collaborative, energetic, passionate about our product & our customers, and at the same time technically strong & loves technology. You will manage and lead a team of high-caliber developers working on one of our important platform areas. We expect our Engineering Managers to be customer focused, have an excellent grasp on business priorities, and be able to translate the team s contributions to tangible business value for our company. They are passionate about hiring & grooming high quality talent, keeping them focused & motivated and representing the team to leadership. They should possess stellar delivery execution skills, build good relationships with Product Management, have a good understanding of ROI, manage the technical team s roadmap and keep technical debt under control. Masters/Bachelors degree required in Computer Science/Engineering, Software Engineering or Equivalent discipline (EEE, ECE). 12+ years of total experience in Software Product Development with at least 6 years of team management experience in leading. Experience building and leading team(s) of high-caliber software engineers. Must have successfully delivered complex, demanding projects for large scale SaaS product(s). Experience working in an Agile development environment. Experience playing the scrum master for at least one year is preferred. Excellent communication skills both verbal and written. Strong organizational and time management skills. Experience with full product life cycle including post production release support. Experience working with multiple functions including but not limited to Product Management, Program Management, Quality Assurance, UI/UX design teams, Documentation, Customer Success teams (including Support). Should be experienced in Software Engineering best practices including coding standards, code-reviews, Source Control, CI/CD, Testing, Security Standards, Compliance. Ability to handle ambiguity and comfortable working with minimal specifications. Drive the execution and delivery of features by collaborating with program managers, product owners, engineers (Dev & QA), architects and other cross-functional teams. Collaborate with Product Managers to align on business objectives, priorities, trade-offs and assess risks, if any. Take critical decisions for the team whenever required to result in a successful product delivery. Should foresee issues and prevent/resolve them at the earliest opportunity. Work following Agile development methodologies using various related tools, like JIRA. Ensure the team is motivated, focused, clear on priorities and have all the needed resources for successful execution. Should encourage and be a role-model for the team to go above and beyond. Represent the team in business related discussions and articulate business values of the team s contributions in larger business-focused forums and/or to senior management. Drive technical excellence and high quality deliverables. Should constantly think for the future by building the right infrastructure at the right time. Provide guidance, career development and coaching to team members. Participate in planning, architecture, and design discussions. Collaborate with cross-functional teams for coordination, planning, design decisions, and reviews. Is passionate about making a world-class software organization. Has experience building large-scale distributed platforms either as part of a team or must have managed a team building them. Enjoys a fast-paced environment, working with a highly-talented team and shifting priorities. Has excellent problem solving and analytical skills. Is great at making data-driven decisions; should use appropriate metrics and report using them in Executive/senior leadership meetings. Is comfortable in designing and implementing new processes (or) modify existing processes internally to improve the efficiency of the team. Has the ability to build strong relationships with stakeholders and key partners for the program. Has strong business and technical vision. Can stay abstract or detail oriented as the situation demands. Has demonstrated the ability of thinking big, bringing new ideas, building teams & infrastructure for the future. Learns quickly; must know when to listen, and when to take charge. Qualification : Masters/Bachelors degree required in Computer Science/Engineering, Software Engineering or Equivalent discipline (EEE, ECE).

Senior Product Designer About Celigo: Celigo is a modern integration and automation platform (iPaaS) focused on simplifying how companies integrate, automate, and optimize processes. Purpose-built for mission-critical processes, Celigo provides tools like runtime AI and pre-built integrations designed to tackle the biggest integration challenges, making it incomparably easier to maintain. We are seeking a Senior Product Designer who is proactive, unafraid to own and advocate for an iterative design process, and driven towards finding simple, easy-to-use, intuitive, and elegant solutions to complex design problems. You will play a key role in shaping the overall user experience, from conducting discovery user research through to designing micro-interactions for our product UIs. Key Responsibilities: Create design assets such as user journey flows, wireframes, visual designs, service blueprints, prototypes, and detailed specs to capture and convey design behaviors and implementation details. Use user research data (usability studies, surveys, interviews, etc.) and metrics to inform design decisions. Expert in conducting and synthesizing user research with proficiency in qualitative and quantitative methods such as user interviews, surveys, usability testing, and analytics. Lead user research activities (with or without the support of a dedicated researcher), ensuring early validation of product ideas and concepts. Champion good user experiences and share best practices, demonstrating curiosity about customer needs and behaviors. Collaborate closely with product managers, engineers, content strategists, and other designers in an iterative design process. Maintain high standards for usability, accessibility (WCAG), quality, beauty, and consistency using best design practices. Engage in feedback sessions, ensuring alignment with larger product goals, and challenge peers productively. Advocate for user-centered design, ensuring design decisions are rooted in user needs and behaviors. Think big while considering the larger system, sweating the small details that enhance the product. Be a team player with humility, hard work, and a willingness to help others succeed. Informally mentor and provide feedback to other designers. Contribute to shaping the design team s culture through collaboration, feedback, and process iteration. Qualifications: 5-8 years of experience designing delightful user experiences with a portfolio showcasing processes and deliverables. Proven ability to clarify, present, justify, and defend design decisions to stakeholders. Experience contributing to and consuming component-based design systems. Expertise in Figma/FigJam and other relevant UX design, research, and prototyping tools. Strong attention to detail, problem-solving skills, and excellent presentation skills. Significant experience in designing B2B applications or SaaS products, particularly in agile, iterative environments. Demonstrated experience in responsive design patterns and design systems. Strong focus on usability and efficiency, with a drive to simplify complex problems. Strong information design skills with a solid foundation in UX design heuristics. Ability to build strong relationships with cross-functional teams. Ability to thrive in a collaborative, ego-free, cross-functional team environment. Confidence in design leadership and effective communication across teams. Excitement for solving real customer problems with smart, delightful solutions aligned with company goals. Preferred Qualifications: Bachelor's/University degree, Master's degree in HCI or design-related field with an emphasis on user experience, interaction design, or visual design. Experience with motion design, HTML, CSS, JS, and other front-end technologies. Strong understanding of how AI and machine learning can inform design decisions, enhance interactions, and personalize experiences. Visionary in the 2024 Gartner Magic Quadrant for iPaaS and a recognized leader in AI. Remote-first culture and competitive compensation. Generous benefits package including wellness days, vacation, and holidays. Diversity, Equity, Inclusion, and Accessibility: Committed to fostering a collaborative and inclusive work environment through initiatives like the Taking a Stand Committee. Celigo is proud to be an equal-opportunity employer. We value diversity and welcome applicants from all backgrounds to join us in creating a safe and welcoming work environment. Qualification : Bachelor's/University degree, Master's degree in HCI or design-related field with an emphasis on user experience, interaction design, or visual design.

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.

Overview If so, the M65 Security Engineering at Microsoft have a great opportunity for you. We are looking for candidates to work on solutions that protect Microsoft services against cyberattacks. We are a team that values diversity of multiple fronts and believes in deep collaboration bringing the best side of technology. Our team consists of engineers with expertise in large-scale software systems, security analysis, big data, and machine learning. We delight in digging in deep to analyse the billions of events and terabytes of data generated each day by all Microsoft products and services (e.g., Azure, M365) services for evidence of suspicious activities. We ensure that critical security components are present throughout the infrastructure powering these services and that these components are kept up to date. Qualifications Required Qualifications: 8+ years of professional software engineering experience designing, building, and running cloud services at large scale in C#, .Net or any high-level programming language. Excellent coding skills, strong understanding in OOPS, design patterns and their application. Self-learner with passion for technologies. Must know Secure by Design principles. Outstanding ability to both work independently and coordinate across geographies. Outstanding ability to communicate complex ideas and concepts to a variety of cross-group stakeholders. Strong organization skills, a bias for action, and ability to deliver results. Proven ability to deal with ambiguity and drive for clarity. Excellent ability to work efficiently, prioritize workflow, ramp quickly, and meet demanding deadlines. Outstanding communication skills and collaboration capabilities. Self-learner with passion for technologies. Able to deep dive in complex areas and self-drive. Preferred Qualifications: Proficient working knowledge of cloud-computing environments like Microsoft Azure, AWS, GCP - Azure preferred. Hands on experience in an object-oriented programming language such as C#, Java or Scala. Strong software design and problem-solving skills. Experience with modern software services engineering practices such as testing in production, live monitoring, data driven engineering. Rapid prototyping and iteration skills the next line. Experience with web service development and familiar with related technologies. Basic automation scripting skills with PowerShell and developing modules. Experience building and shipping production grade software or services. Experience using agile methodologies or test-driven development (TDD) Rapid prototyping and iteration skills. Background Check: Ability to meet Microsoft, customer and/or Government security screening requirements are required for this role. These requirements include, but are not limited to, the following specialized security screenings: Microsoft Cloud background check: This position will be required to pass the Microsoft Cloud background check upon higher/transfer and every 2 years they are after. Microsoft is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, gender, sexual orientation, gender identity or expression, religion, national origin, middle status, age, disability, veteran status, genetic information, or any other protected status. Our Culture: Growth mindset we practice a learn it all vs a know-it-all attitude. Wins are cheered, failures are celebrated and viewed as learning opportunities. Candour we believe in transparency and receiving and providing regular constructive feedback across the hierarchy. Diverse and Inclusive every voice matters and is appreciated. This is a safe environment where you can express yourself without fear of retribution. Leadership oriented each of us are leaderswho strive to create clarity, generateenergy,and deliver success.We believe in leading withempathy,trust,andcontext rather than control. Responsibilities Write well designed code with an emphasis on quality, maintainability, scalability, and performance. Analyse security threats to M365 and build monitoring components to address those threats. Solid understanding of Design and implement to enable real time, highly scalable, performant, and sustainable solutions. Deliver automated and well-tested features across different services and platforms. Use engineering best practices throughout the software development lifecycle to establish maintainable, reliable, and secure systems. Collaborate with teammates in various roles to plan and execute on key deliverables. Work in a culture of continuous improvement, adaptation, reflection, and growth. Learn quickly from your peers, projects, and interactions with customers. Provide on call support and monitor the health of services in production as part of DevOps culture. Execute the Dev-Sec-Ops approach to software delivery by designing, coding, testing, deploying and operating components of Microsoft 365 security monitoring system.

Role Overview: We are looking for a Software Engineer to play a key role in migrating our workflow orchestration system from Azkaban to Apache Airflow. This is a high-impact opportunity to contribute to modernizing our data processing infrastructure, working on a critical migration project that will enhance the performance and scalability of our systems. Key Responsibilities: Migration Strategy: Design, develop, and execute the migration strategy from Azkaban to Apache Airflow, ensuring a smooth transition and minimal disruption to ongoing operations. Automation: Develop Python scripts and automation tools to support the migration process and automate various tasks such as calling APIs and performing database interactions. Testing and Data Validation: Implement best practices for testing and data validation to ensure the accuracy and reliability of the migrated workflows. Process Automation: Collaborate with the development team to automate several manual processes related to release, upgrades, and deployments, improving operational efficiency. Collaboration: Work closely with platform owners and data teams to ensure that workflows continue to operate with the same performance and reliability post-migration. Optimization: Optimize Airflow DAGs for efficiency, modularity, and maintainability, ensuring scalable and high-performance data pipelines. DevOps Practices: Leverage previous DevOps experience focusing on continuous deployment and monitoring, ensuring the smooth and continuous operation of the migration process. Qualifications: Education: Bachelor s degree in Computer Science, Software Engineering, or a related field. Programming Languages: Proficiency in Python for writing automation scripts, including calling APIs and interacting with databases. Kubernetes Ecosystem: Experience creating YAMLs and Helm charts for managing Kubernetes resources. DevOps Experience: Hands-on experience with DevOps practices, particularly focusing on continuous deployment and monitoring. Orchestration System: Proficiency with Apache Airflow or any orchestration system; experience in creating DAGs to run custom workflows is a plus. Jupyter Notebooks: Familiarity with Jupyter notebooks for data processing and analysis is a plus. Qualification : Bachelors degree in computer science, Software Engineering, or a related field.

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.

About HSBC If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you're aiming to reach the top or seeking an exciting new direction, HSBC offers opportunities, support, and rewards to take you further. As one of the largest banking and financial services organizations globally, with operations across 64 countries and territories, HSBC is committed to enabling businesses to thrive, economies to prosper, and ultimately, helping people fulfill their ambitions. The Role We are seeking an experienced Senior Software Engineer to join our team. You will become part of HSBC s Data Provisioning Technologies team, responsible for managing and working on the cutting edge of CDP (Cloudera Data Platform) and ODP (Open Data Platform) platforms. As part of one of the largest Big Data estates in the banking industry, you will be instrumental in creating engineering solutions for Hadoop platform pipelines and utilizing industry-leading cloud technologies. Responsibilities Contribute to Hadoop Engineering tasks, developing solutions for data pipeline management on CDP/ODP platforms. Work with Python, Ansible, and Kubernetes to create scalable, efficient solutions within a Big Data environment. Collaborate with the Data/Analytics teams to ensure the smooth operation of data systems and platforms. Design and implement technical solutions while adhering to best practices for CI/CD, DevOps, and GitOps methodologies. Develop and support solutions utilizing cloud technologies, ensuring the scalability and robustness of platforms. Contribute to debugging, troubleshooting, and maintaining the high-quality performance of data systems. Utilize Shell scripting, YAML, and modern automation tools to improve deployment and operational efficiency. Work with GitHub, Jenkins, Ansible for version control, continuous integration, and deployment. Requirements To be successful in this role, you should meet the following requirements: 3-6 years of experience in Hadoop Engineering with practical expertise in Python, Ansible, and DevOps methodologies. Strong knowledge of HDP (Hadoop Distribution), CDP, Linux, Python, Ansible, and Kubernetes. Proficient in Shell scripting, YAML, and technical design. Strong understanding of CI/CD concepts and hands-on experience with tools like GitHub, Jenkins, and Ansible. Familiarity with Test automation tools such as JUnit, Selenium, and Cucumber. Experience with industry-leading Cloud technologies and hands-on development in cloud environments. Working knowledge of GitOps and DevSecOps principles. Knowledgeable in Agile methodologies and ideally, certified in one of the frameworks. Strong communication and networking skills, with the ability to collaborate across teams. Ability to work autonomously, take accountability, and drive results in a high-pressure environment. A strong commitment to high-quality standards, and ownership of individual contributions. You ll have the opportunity to work on innovative projects at the forefront of the banking industry. A global platform with exposure to diverse teams and technologies. Join a company committed to professional development and career growth. Achieve more when you join HSBC. Qualification : 3-6 Years Experience in Hadoop Engineering with working experience on Python, Ansible DevOps methodologies.