Data Platform Engineer Jobs in Hyderabad

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.

Product Lead Financials Reporting Location: Hyderabad Company: Arcesium Company Overview Arcesium is a global financial technology company delivering sophisticated solutions to solve complex data-driven challenges for some of the world's most advanced financial institutions. We are committed to relentless innovation in helping our clients anticipate risks, optimize operational efficiency, and achieve transformational business outcomes. Operating at the crossroads of finance and technology, Arcesium empowers team members to take ownership, think creatively, and contribute meaningfully from day one. About the Role We are looking for a Product Lead Financials Reporting to join our Product Management Group in Hyderabad. In this role, you will lead the development and enhancement of financial reporting products used by some of the world s most sophisticated hedge funds and asset managers. You will be responsible for defining product vision and strategy, translating market needs into impactful product capabilities, and working closely with engineering and cross-functional stakeholders to build solutions that support our clients evolving regulatory, financial, and operational needs. Key Responsibilities Product Strategy & Vision Define and drive the vision, strategy, and roadmap for financial reporting products, in alignment with Arcesium s overall platform goals. Conduct market research, client interviews, and competitive analysis to identify product opportunities and trends. Build and maintain a forward-looking product roadmap grounded in user needs, technical feasibility, and business value. Execution & Delivery Collaborate with engineering teams to convert specifications into scalable, high-quality financial reporting solutions. Own feature definition, product design, and delivery through iterative releases and feedback loops. Monitor progress through test cases and validation frameworks to ensure features meet both business and technical expectations. Stakeholder Management Communicate product strategy, project plans, and progress updates with internal and external stakeholders. Collaborate with other product managers and cross-functional teams to integrate financial reporting into broader solutions. Prepare documentation such as release notes, business cases, and technical briefs. What You ll Need Experience & Expertise 6+ years of total experience with at least 2 years in product management. Deep understanding of financial reporting processes in hedge funds, asset management, or other alternative investment domains. Strong grasp of financial instruments, accounting standards, and regulatory frameworks relevant to financial reporting. Skills & Tools Advanced Excel skills and strong data analysis capability. Experience working closely with software engineers in an Agile or collaborative product development setting. Familiarity with interpreting counterparty statements and managing complex data sets. Soft Skills Excellent written and verbal communication skills. Strong critical thinking and problem-solving abilities. Confident stakeholder management and influence across technical and business teams. Detail-oriented, self-driven, and highly organized with a collaborative mindset. What Sets You Apart A healthy mix of domain expertise, strategic thinking, execution rigor, and customer empathy. Ability to thrive in a high-performance, data-driven, and fast-paced environment. Passion for delivering innovative financial technology solutions at scale. Equal Opportunity Employer Arcesium is an equal opportunity employer committed to diversity and inclusion. We welcome candidates from all backgrounds and ensure a workplace free from discrimination.

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 Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

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!

Sr Engineer - C#, Angular Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited Job Overview Join Qualcomm s QCT PM Tools team to design and build scalable applications. As a Software Engineer/Senior Engineer, you ll work across the full stack building intuitive UIs with Angular and robust back-end services using C# and .NET. You'll collaborate closely with cross-functional teams to deliver impactful tools used across the organization. Key Responsibilities Develop and maintain full-stack applications using C#, .NET, and Angular. Design scalable, maintainable software modules with performance in mind. Analyze user needs and translate them into high-quality software solutions. Debug, optimize, and enhance existing tools and applications. Work with databases and REST APIs for system integrations. Required Skills Bachelor s degree in Computer Science Engineering or a related field. 4+ years of Software Engineering or related work experience. Expertise in at least one Programming Language such as C#, Java, Python, etc. Experience in Web development including JavaScript, Angular, React, HTML 5, CSS, and REST web services. Ability to design modules and applications independently, focusing on quality and scalability. Strong knowledge of databases, operating systems, and algorithm design. Preferred Qualifications Experience developing and supporting one or more products throughout all phases of the software development lifecycle. Experience working with cloud platforms such as AWS or Azure. Exposure to Data Engineering, Data Mining, Business Intelligence, and Machine Learning is a plus. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field, and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or a related field, and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or a related field. 2+ years of academic or work experience with programming languages such as C, C++, Java, Python, etc. About Qualcomm Qualcomm is a global leader in mobile and telecommunications technology. Our innovations power a range of devices, including smartphones, IoT solutions, and advanced technologies. Join Qualcomm s dynamic team to work on cutting-edge projects that will shape the future of communications and technology! Apply today to be part of Qualcomm s transformative engineering team! Qualification : Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field, and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or a related field, and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or a related field. 2+ years of academic or work experience with programming languages such as C, C++, Java, Python, etc.

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.

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

Forward Deployed Solution Architect Company Overview Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes. Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development. Arcesium seeks an experienced Solution Architect to join our Client and Partner Development team as a Forward Deployed Solution Architect. As a Forward Deployed Solution Architect, you will bridge the gap between Arcesium s platform and clients' business requirements. You will show the customer value quickly and turn insights into scalable and repeatable long-term solutions. Forward Deployed Solution Architects work directly with Arcesium customer stakeholders and Arcesium product teams to solve sophisticated problems in the investment management businesses. What You'll Do Guide customer top stakeholders (Head of Operations, COOs) on the best ways to accelerate customer data strategy through Arcesium. Decompose customer problem into component parts, design scalable solution using platform capabilities as building blocks. Present solutions to customers verbally as well as written proposals, rich materials and illustrations. Work with prospective clients to define the scope and success criteria of PoC projects. Lead various projects including Proof of Concepts, Implementations and beyond. Manage stakeholder expectations, highlights project risks and mitigations, and lead governance meetings. Collaborate with Forward Deployed Software Engineers, Forward Deployed Data Strategists and Product teams for project success. Think critically to suggest improvements to the process, which may reduce costs, drive product innovation and result in increased sales conversion. Closely work with client developers getting them up to speed on Arcesium s technical architecture, platform overview, hands-on API training, and data flow across applications. Present and discuss Arcesium's Product capabilities in Sales conversations. What You ll need: 8+ years of experience in client facing roles requiring a high degree on consultative and solutioning skills (e.g., client solutions, professional services and implementations, etc.), providing solutions and building and driving product development. Experience in investment management operations and life cycle ranging from but not limited to Master data management of Securities, Trades, accounting, NAV generation, reconciliations etc. Strong domain expertise in typical middle and back-office operations for a hedge fund, fund admin. Experience in technology and software development environment is a plus. Ability to drive cross-functional medium & large-scale projects, across business and technology domains; stakeholder management across levels is required. Strong interpersonal skills and experience building strong internal and external relationships. Strong communication skills, including the ability to be influential and persuasive with stakeholders. Familiarity with cutting edge cloud solutions and data analysis techniques.

Principal Engineer - Infrastructure Development Company Overview Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes. Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development. Arcesium seeks a talented and motivated Principal Engineer to join our Infrastructure Development team. This person will work and coordinate internal projects and support Engineering Managers. The successful candidate will be responsible for a variety of critical initiatives that will help Arcesium achieve its strategic goals and growth. The Infrastructure Development team is responsible for multiple functional areas which include Access & Identity Management, Linux Compute, Discovery, Networking, Observability, SDLC, and Storage, built on top of AWS, which provide the foundation upon which our customer-facing financial technology platform builds and runs. Infrastructure is a high-impact engineering team that builds new services, automates systems, integrates cloud & open-source software, and operates critical systems depending on the needs of the firm. What you'll do: Help build the next generation of IT infrastructure e.g. containers infrastructure using Docker & Kubernetes cluster create, manage and upgrade. Create, consult on and review architectural decisions of infrastructure projects/products. Build and maintain the firm s critical IT infrastructure such as Linux, Windows, Git, DNS, Kerberos, Syslog, Apache, Perl, Python, E-mail, Ansible, ELK. Safeguard the firm s and its customers data. Minimize the risk of system failures and ensure that controls are in place to detect failures. Work with tech teams to ensure infrastructure scales dynamically based on the usage pattern. Collaborate with internal teams to develop messaging to senior stakeholders. Build and maintain relationships and create trust with internal stakeholders and Application Engineering teams. Communicate with all stakeholders, prepare project plans, release notes and conduct regular governance meetings. What you'll need: 10-20 years of experience in system administration/software engineering. Strong programming experience in Python/C/Go/Haskell. Good knowledge of Unix system, web technologies, and AWS. Experience with tools and processes that will help you manage, understand, and debug large, complex distributed systems. Attention to detail and quality, and the ability to work well in and across teams. The ability to be self-motivated and to think independently while being a team player. Exceptional verbal and written communication skills. Ability to multitask and manage multiple deliverables paired with a can-do attitude.

Job Title: Product Manager - Life & Annuities Insurance Solutions Company: Oracle Location: Hyderabad Position Summary Oracle is looking for a Product Manager to join the Oracle Insurance Policy Administration (OIPA) team. OIPA is a market leader in Life Insurance Policy Administration, helping insurers streamline their operations on a single platform, running on the secure, scalable Oracle Cloud Infrastructure. This role involves owning the entire product lifecycle for Life & Annuities insurance solutions and driving the product strategy, innovation, and customer experience. Key Responsibilities Product Leadership: Own the end-to-end product lifecycle, from ideation to market launch, for Life & Annuities insurance solutions. Define and execute the product strategy, roadmap, and vision, aligning with organizational goals and market needs. Collaborate with cross-functional teams (engineering, design, marketing, sales, operations) to deliver customer-centric, scalable solutions. Industry Expertise: Bring deep knowledge of Life & Annuities insurance products (term life, whole life, universal life, annuities, and riders). Lead the design and conceptualization of product templates and configurations to streamline implementation. Stay updated on regulatory, market, and technological trends to anticipate changes and opportunities. Innovation with GenAI: Implement Generative AI-driven solutions to enhance product personalization, underwriting, customer service, and claims management. Collaborate with data science and engineering teams to develop AI-enabled tools and deliver innovative solutions. Stakeholder Communication: Present complex ideas and strategies to stakeholders, clients, and leadership in a clear, compelling, and professional manner. Develop persuasive documentation, including business cases, product requirements, and technical specifications. Act as a thought leader, representing Oracle at industry events, conferences, and client meetings. Implementation Expertise: Leverage experience in implementing Life & Annuities insurance products across multiple platforms. Partner with delivery teams to ensure seamless product launches and customizations, meeting client-specific requirements. Additional Responsibilities: Gather and document business requirements for new enhancements and product developments. Collaborate with the product team to develop user stories, UI mock-ups, and analyze user feedback. Work with sales and marketing to develop high-quality product collateral and maximize product adoption. Conduct presentations and training sessions for internal stakeholders, customers, and partners. Ideal Candidate Qualifications/Skills Education: Bachelor s or Master s degree in Commerce, Business, or Computer Science from a reputable college/university. Experience: 8+ years of experience in Life & Annuities insurance, with at least 6 years in life insurance. Solutioning Skills: Strong history of delivering extraordinary solutions to clients and managing implementation plans. Project Management: Ability to manage multiple projects, deadlines, and priorities in a fast-paced environment. Collaboration: Excellent collaboration and organizational skills; ability to work effectively across diverse teams. Self-Starter: Proactive, results-oriented, with a can-do attitude and focus on continuous improvement. Insurance Expertise: Prior implementation or product development experience in insurance policy administration systems. Certifications: Any certifications in the life insurance domain are a plus. Qualification : Bachelors or Masters degree in Commerce, Business, or Computer Science from a reputable college/university.

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.

About the Role: Senior Software Development Engineer Planful is seeking a Senior Software Development Engineer to help design and deliver high-quality software solutions that enhance our cloud-based financial planning and analysis platform. You will collaborate closely with product managers, engineers, and other stakeholders to create innovative features that meet customer needs and drive business growth. This is an exciting opportunity for someone who is self-motivated, passionate about the latest technologies, and thrives on solving complex business problems through code. Responsibilities Design & Development: Develop and enhance features for our cloud-based financial planning platform. Performance Optimization: Refactor and optimize existing code to improve system performance, scalability, and maintainability. Quality Assurance: Test and debug software to meet high-quality standards and ensure reliability. Mentorship: Mentor and coach junior engineers, fostering their growth and development. Documentation: Contribute to technical documentation, including design specifications, user manuals, and system documentation. Collaboration: Work closely with cross-functional teams to align on technical solutions and business requirements. What You Bring to the Table 6+ years of experience in software development, with strong problem-solving skills. Expertise in Java 17 and Spring frameworks. Strong foundation in computer science fundamentals: object-oriented design, data structures, algorithms, and complexity analysis. Proficiency in modern web development technologies: AJAX, HTML5, JavaScript, jQuery, CSS, Responsive Design, and web services. Experience with NoSQL databases (especially MongoDB) and web servers. Familiarity with distributed (multi-tiered) systems and complex software architectures. Proven experience leading the design and delivery of complex software systems. Ability to recognize and adopt best practices in architecture, design, testing, version control, documentation, deployment, and operations. Broad knowledge across front-end, back-end, and integration technologies. At Planful, we are passionate about helping our customers and our people achieve peak performance. We ve built a culture that supports innovation, growth, and work-life balance. Time Off & Wellness: 2 volunteer days, birthday PTO, and quarterly wellness days. Parental Support: 3 months of diaper supply and meal deliveries for the first month of your maternity/paternity leave. Annual Planful Palooza: Our in-person, company-wide culture kickoff event. Professional Growth: Access to a company-wide mentorship program and manager-specific monthly training sessions. Diversity & Inclusion: Join Employee Resource Groups (ERGs) like Women of Planful, LatinX at Planful, Parents of Planful, and many more. We celebrate diversity and encourage you to create new ERGs and communities.

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.

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.