Data Engineering Support Engineer Jobs in Hyderabad

Senior Software Development Engineer in Test (SDET) QA Location: Hyderabad, IN Employment Type: Full-Time Department: Engineering Role Overview We are seeking an experienced and pragmatic Senior SDET to elevate our testing practices and ensure the reliability and efficiency of our cutting-edge data management, governance, and analytics software at Internet scale. Your work will directly empower decision-makers to leverage data for impactful community improvements. This role requires a hands-on tester with a strategic mindset, able to balance manual exploratory testing with automation and continuous process improvements. You will work closely with product owners, developers, QA teams, and release managers to champion quality throughout the software lifecycle. Key Responsibilities Review and enhance test strategies, plans, and coverage to identify and mitigate risks based on product requirements. Develop and maintain automated test suites, harnesses, and test applications. Collaborate with QA teams and partners to understand system specifications and recommend testability improvements. Enhance CI/CD pipelines with automated testing and scripting to ensure seamless continuous delivery. Partner with developers, product managers, and analysts to ensure testable requirements and robust quality. Drive testability and diagnostics integration into products for faster troubleshooting. Share automation testing best practices and tools across teams. Participate in peer design/code reviews and Agile scrum ceremonies. Perform exploratory/manual testing as needed to support releases. Adhere to coding standards and software development lifecycle processes. Required Qualifications Master s degree in Engineering or a Bachelor s degree with 4+ years of professional software engineering/testing experience. Proficiency in at least one programming language: .NET, Python, or Java. Experience testing enterprise-level applications and systems. Strong background in API testing and automation frameworks/tools. Experience with Jenkins and building/maintaining CI/CD pipelines. Proven expertise in QA processes including test planning, execution, defect tracking, and release management. Hands-on experience with Agile methodologies and sprint ceremonies. Skilled in developing high-quality test automation frameworks. Familiarity with tools like Mocha, Jasmine, JIRA, GitHub, and GitLab. Experience testing cloud applications on Azure, AWS, and on-prem environments. Knowledge of security testing and static code analysis tools. Proficient in querying relational databases and working with complex schemas. Deep understanding of software quality assurance methodologies integrated with SDLC. Work on innovative, impactful data software at Internet scale. Collaborate with a talented global engineering team. Opportunity to influence testing strategies and automation best practices. Dynamic, growth-oriented environment fostering continuous learning. Qualification : Masters degree in Engineering or a Bachelors degree with 4+ years of professional software engineering/testing experience.

Technical Lead Backend Development Location: Hyderabad, IN Employment Type: Full-Time Department: Engineering & Product Development Role Overview ZL Technologies is seeking a highly skilled Technical Lead Backend Development with deep expertise in Java and large-scale distributed systems. As a key member of our engineering team, you will architect, develop, and optimize server-side components, ensuring high scalability, availability, and performance. You will lead backend development efforts, mentor teams, and deliver robust solutions that power our cutting-edge products. Key Responsibilities Design, develop, and maintain scalable and robust backend services and system architectures using Java. Architect and build reusable code and libraries to support efficient application development and future scalability. Collaborate closely with cross-functional teams and stakeholders to understand requirements and translate them into effective technical solutions. Lead, mentor, and guide engineering teams to deliver high-quality, optimized code in adherence to organizational standards and best practices. Manage and optimize search and retrieval performance internally, contributing to information retrieval components. Ensure software solutions meet high standards of quality, scalability, and maintainability. Apply strong analytical and problem-solving skills to make decisions on architecture and implementation. Maintain clear communication and documentation throughout the software development lifecycle. Required Qualifications 7+ years of hands-on experience in backend development, focusing on large-scale distributed systems, complex software design, scalability, and performance optimization. Strong proficiency in Java server-side development. Experience in information retrieval systems with an emphasis on optimizing internal search performance. Proven ability to lead technical teams and manage project deliverables. In-depth knowledge of algorithms and data structures. Bachelor s degree in Computer Science, Engineering, or a related field (Master s degree preferred). Experience with coding standards, version control systems (especially Git), and software best practices. Excellent problem-solving and decision-making capabilities. Preferred Skills and Technologies Familiarity with open-source tools and frameworks such as Tomcat, Lucene, Zookeeper, Kafka, Netty, and NoSQL databases. Experience building RESTful APIs and microservices architectures. Hands-on experience with containerization technologies like Docker and orchestration tools such as Kubernetes. Knowledge of big data technologies and cloud platforms. Strong understanding of Unix/Linux and Windows operating systems, networking, and system scaling techniques. Excellent verbal and written communication skills. Lead backend development for cutting-edge enterprise solutions. Work in a collaborative, innovation-driven environment. Opportunity to influence product architecture and engineering best practices. Be part of a fast-growing company with a global impact. Qualification : Bachelors degree in Computer Science, Engineering, or a related field (Masters degree preferred).

Job Title: Presales Solution Architect Location: Hyderabad, India About Us Kanerika At Kanerika Inc., we are a globally recognized software products and services company dedicated to enabling data-driven digital transformation. Co-founded by a Wharton alumnus, our mission is to help enterprises unlock business value through the smart use of data, cutting-edge technologies, and scalable solution architectures. Recognized by Great Place to Work , RPA Today, and Frost & Sullivan, Kanerika is a growing organization that values innovation, inclusivity, and impact. With ISO 27701, SOC2, and GDPR compliance, we re also committed to the highest standards of data privacy and security. Role Overview We are seeking an experienced Presales Solution Architect to join our team. This role is crucial in driving successful sales engagements by combining technical acumen with business insight. You will collaborate closely with sales and technical teams to understand client needs, design optimal solutions, and develop winning proposals. This role demands a strategic thinker with strong communication skills, the ability to simplify complex concepts, and a deep understanding of data architecture, cloud platforms, and presales processes. What You ll Do Solution Architecture & Design Design scalable, secure, and robust solution architectures for enterprise clients. Develop cloud-native, hybrid, and on-premises data architectures using platforms like Azure, AWS, or GCP. Evaluate and recommend the right mix of technologies and services (e.g., Azure Data Factory, Azure Synapse, Power BI, Fabric, etc.). Design conceptual/logical/physical data models and implement data governance practices including data lineage and access control. Create efficient and scalable ETL/ELT pipelines to support analytics and AI-driven outcomes. Presales & Client Engagement Translate business requirements into compelling technical proposals and presentations. Support the sales cycle by responding to RFPs/RFIs, delivering solution walkthroughs, and addressing client queries. Present solutions to technical and business stakeholders, demonstrating clear business value and ROI. Collaborate with cross-functional teams including product, sales, and delivery to co-create winning bids. Thought Leadership & Process Excellence Continuously explore innovations in data analytics and AI to strengthen Kanerika's solution offerings. Mentor internal teams on solution best practices and quality-first development approaches. Ensure alignment of proposed solutions with client goals, business context, and industry trends. What You ll Bring 10+ years of experience in data analytics, AI technologies, and solution architecture. Proven experience in presales or solution design roles with strong exposure to client interactions. Bachelor s degree in Engineering/Technology or MCA from a reputed institution. Certifications in data engineering, cloud (Azure/AWS/GCP), or analytics are a strong plus. Strong understanding of enterprise data architecture and hands-on experience with Azure services. Familiarity with integration of APIs, real-time messaging systems, and scalable application frameworks. Soft Skills Excellent verbal and written communication and presentation skills. Strong interpersonal and collaboration abilities. High emotional intelligence (EQ) and adaptability under pressure. Self-driven, responsible, and capable of working independently with minimal supervision. Strong time management, multi-tasking, and organizational skills. Employee Benefits Culture & Work Environment Open Door Policy for transparent communication. Flexible Working Hours & Open Office Layout. Employee Referral Bonus Program. Biannual Performance Appraisal Process. Inclusivity & Wellness Diversity-focused hiring and Mandatory POSH Training. Comprehensive Health Insurance, Term Insurance & Disability Cover. Family Support & Leave Generous Parental & Family Medical Leave. Company-sponsored Family Events. Time-Off & Perks Generous Paid Time Off (PTO), Sick Days, and Paid Holidays. Bereavement Leave, Gratuity & Provident Fund Contributions. Regular Team Outings and Engagement Activities. Learning & Development Access to FLEX Enterprise Learning Repository. Mentorship & Internal Promotion Opportunities. Professional Certification Reimbursements. Job-specific Training & Upskilling Programs. Join a company where innovation meets impact. Be part of a collaborative and growth-oriented environment where your contributions are recognized, your ideas matter, and your career thrives. Qualification : Bachelors degree in Engineering/Technology or MCA from a reputed institution

Job Title: Data Engineering Manager Location: Hyderabad About Kanerika Kanerika Inc. is a leading global software products and services company dedicated to empowering data-driven enterprises. We help businesses accelerate digital transformation and maximize impact by delivering innovative, custom data solutions that optimize operations, enhance customer experiences, and fuel growth. Our Accolades Best Place to Work 2022 Great Place to Work Top 10 Most Recommended RPA Startups 2022 RPA Today Technology Innovation Award 2021 Frost & Sullivan India for Kompass composable solution Recognized for strong data privacy and security standards: ISO 27701, SOC2, GDPR compliant With a 4.5/5 Glassdoor rating, Kanerika fosters an inclusive, growth-oriented culture where employees thrive. We offer: Flexible working hours and generous parental leave Mandatory training on a safe and inclusive work environment Mentorship, professional development, and certification support Company-sponsored outings and work-life balance initiatives Join a vibrant, diverse community where your contributions truly matter. The Role We are looking for an experienced Data Engineering Manager to lead and inspire our data engineering team in Hyderabad. Partnering closely with Data Architects, you ll drive the design and development of scalable, cloud-based data pipelines and models, ensuring data quality, security, and performance. What You ll Do Lead and mentor a high-performing data engineering team, driving productivity and accountability. Collaborate with architects and development leads to build scalable, enterprise-grade data solutions. Oversee agile workflows, manage escalations, and coordinate hiring and resource planning. Use data-driven insights to guide team priorities and continuous improvement. Support pre-sales activities and work cross-functionally with sales and recruitment teams. Foster a culture of innovation, quality-first mindset, and customer focus. Who You Are A proactive leader with experience managing mid to large-sized teams and complex projects. An effective communicator, both verbally and in writing, with a knack for visually presenting ideas and core values. Results-oriented with a proven track record of delivering successful projects and publishing customer case studies. A process-driven, independent thinker who thrives under pressure and embraces continuous learning. Passionate about inclusivity and committed to contributing authentically to a diverse team environment.

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.

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.

Lead Data Scientist Media Mix Modeling (MMM) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 6+ Years Company: Blend About Blend: Blend is a premier AI services provider committed to co-creating meaningful impact through data science, AI, and technology. We harness world-class talent and data-driven strategies to unlock innovation and value for our clients. Our mission is to empower bold visions by seamlessly aligning human expertise with artificial intelligence. Job Summary: We are seeking an experienced Lead Data Scientist with deep expertise in Media Mix Modeling (MMM) to optimize marketing spend and drive strategic insights across multiple media channels. You will leverage statistical modeling and data analytics to provide actionable recommendations that improve marketing effectiveness and business outcomes. Key Responsibilities: Design, develop, and implement Media Mix Models to analyze and optimize marketing spend across channels such as TV, digital, radio, and print. Analyze historical marketing data to measure channel effectiveness and guide budget allocation decisions. Collaborate closely with marketing, business, and analytics teams to translate business goals into quantitative models and insights. Build predictive models to forecast the impact of marketing campaigns and recommend budget reallocation. Present complex analytical findings clearly and effectively to technical and non-technical stakeholders. Conduct detailed analyses of marketing campaigns and customer behavior to uncover trends, opportunities, and optimization areas. Ensure accuracy, consistency, and integrity in all data analyses and model outputs. Stay updated with the latest advances in MMM, marketing analytics, and data science methodologies. Work with cross-functional teams including Data Engineering and BI to ensure smooth data integration and workflow. Document methodologies, models, and analysis processes thoroughly. Qualifications: Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related discipline. Minimum 6 years experience in Media Mix Modeling (MMM) or marketing analytics roles. Strong expertise in statistical modeling methods, including regression analysis and time-series forecasting. Proficiency in programming languages and tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI. Familiarity with marketing data sources such as Nielsen, IRI, social media analytics, and CRM datasets. Excellent analytical skills with the ability to translate data into actionable business insights. Strong communication skills for effective stakeholder engagement across technical and non-technical audiences. Experience working in fast-paced, data-driven environments. Knowledge of machine learning techniques and frameworks is a plus. Preferred Qualifications: Experience handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud. Understanding of marketing attribution, customer segmentation, and lifetime value (LTV) models. Experience conducting A/B testing and controlled experiments. Background in consulting or marketing agency settings is advantageous. Competitive Salary: Reflecting your skills and impact. Dynamic Career Growth: Fast-track your development with mentorship and challenging projects. Idea Tanks: Collaborate and innovate in our dedicated creativity spaces. Growth Chats: Informal knowledge-sharing sessions to fuel your learning. Snack Zone: Stay energized with a variety of refreshments. Recognition & Rewards: Regular acknowledgment of your contributions and ideas. Certification Support: Grow your skillset with company-supported certification programs. Apply now to become a key player in Blend s analytics team and lead transformative marketing analytics projects. Qualification : Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field.

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!

Job Title: Senior Data Engineer Location: Hyderabad, Telangana, India Job Type: Full-Time | Permanent Experience Required: 6+ Years Open Positions: 2 About the Role: We are seeking a highly skilled and experienced Data Engineer to join our team in Hyderabad. As a key member of our data engineering unit, you will be responsible for designing and optimizing end-to-end data pipelines using Python, PySpark, and Databricks. This role requires strong technical expertise, a passion for solving complex data challenges, and the ability to lead best practices within the Supply Chain data domain. Key Responsibilities: Develop and maintain scalable data pipelines using Python, PySpark, and Databricks for complex data transformation within Supply Chain operations. Implement advanced data engineering solutions that support real-time and batch data processing for analytics and business intelligence. Analyze, optimize, and refactor existing data workflows to improve performance and reliability. Collaborate with cross-functional teams to understand data requirements and translate them into robust technical solutions. Take ownership of projects and deliver high-quality outcomes with minimal supervision. Provide leadership and guidance on coding standards, design patterns, and data engineering best practices. Clearly communicate technical ideas and solutions to both technical and non-technical stakeholders. Required Skills & Qualifications: 6+ years of hands-on experience in data engineering. Proficient in Python, PySpark, and Databricks for building and maintaining data pipelines. Strong problem-solving skills with a proven ability to create innovative solutions for complex data challenges. Excellent communication and interpersonal skills; able to work effectively with cross-functional teams. Experience leading and mentoring team members on technical best practices and architecture decisions. Ability to work independently, manage priorities, and drive projects to completion with minimal oversight. Perks & Benefits: Competitive compensation package Exposure to cutting-edge technologies in cloud-based data engineering Opportunity to work on large-scale Supply Chain data solutions Collaborative, innovation-driven work environment Career growth and mentorship opportunities

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).

Job Title: Senior Consultant - FS Developer Tech Engineer Location: Hyderabad Entity: Financial Services Your Role Work across the entire solution lifecycle, including requirement analysis, front-end and back-end development, design, system integration, architecture, and support. Analyze root causes of incidents and provide well-thought-out solutions. Document the resolutions provided and share them with relevant stakeholders. Support the business by providing effort estimations and conducting feasibility studies. Perform code reviews and share the findings with colleagues to improve the quality of deliverables. Your Team You will be working as part of the End User Artificial Intelligence and Transformation team. This team develops end-user automation and solutions, based in Pune and London. We are a technology-driven team focused on end-user services, developing, integrating, testing, documenting, maintaining, supporting, and decommissioning technology solutions aimed at solving business problems. Your Expertise We re looking for someone with: Several years of experience as a software developer (experience within financial services is a plus). Expertise in Typescript, JavaScript, CSS, and frameworks such as Angular 12+, ReactJS, and NodeJS. Experience with MS SQL Server including writing and optimizing stored procedures, creating views, and managing database performance. Strong understanding of Azure services, Function Apps, Infrastructure as Code (IaaC), and GitLab. Expertise in building web service-based REST APIs. Knowledge in web development tools and data modeling. Expertise in HTML5, Bootstrap, Client-Side Development, SASS/LESS, CSS3, and Responsive Design. The ability to build client-side applications for both web browsers and mobile devices. Experience in developing tools leveraging complex data sources. Knowledge of integrating UX design and engineering into products for a seamless user experience. Experience in desktop application development. Bonus: Experience developing style guides or UX wireframes. You Are: An excellent communicator and negotiator who can articulate complex technical concepts clearly. A self-starter, capable of independently creating innovative solutions. Fluent in English, both spoken and written. Analytical and logical, able to solve problems in an efficient and effective manner. Result-oriented and assertive, with a positive attitude towards challenges. Motivated, self-directed, and driven to achieve excellence. Methodical, concise, and accurate, with a strong attention to detail. Why You Should Join Us At Deloitte, we provide an environment where you can grow your skills and be part of a team that is shaping the future of the industry. If you are a driven individual who thrives in solving complex technical challenges, this is the place to take your career to the next level. This Senior Consultant role offers an exciting opportunity to contribute to cutting-edge projects in Financial Services technology development. If you are passionate about creating solutions that matter, we encourage you to apply.

Job Title: Backend Developer (Python + AWS) Experience: 5-8 Years Location: Hyderabad About Us: We are a cutting-edge technology company looking for an experienced Backend Developer (Python + AWS) to join our dynamic team. If you are passionate about backend development, have a strong expertise in Python, Django, and AWS, and want to work on innovative projects, we want to hear from you! Responsibilities: Backend Development: Design, develop, test, and deploy high-quality backend services using Python and Django. Develop robust RESTful APIs to facilitate communication between the frontend and microservices. Ensure seamless integration and data exchange between backend services and frontend applications. Collaboration: Work closely with the frontend development team to integrate backend services with the UI effectively. Collaborate with the Data Engineering team to design and implement data pipelines and storage solutions. Database Management: Develop and maintain database schemas, ensuring data consistency, integrity, and optimized performance. Troubleshooting & Debugging: Troubleshoot and debug complex issues in backend services and APIs, ensuring smooth and efficient operations. Code Quality & Best Practices: Participate in code reviews and ensure that the team adheres to high coding standards and best practices. Stay up-to-date with the latest trends and technologies in backend development and apply them to improve system efficiency. DevOps Collaboration: Collaborate with the DevOps team for smooth deployment and monitoring of backend services. Feature Implementation & Documentation: Contribute to the design and implementation of new features and functionalities. Develop and maintain clear and concise technical documentation and guides for backend services. QA Collaboration: Work closely with the QA team to ensure thorough testing, validation, and quality assurance of backend services. Task Planning: Participate in the planning and prioritization of project tasks and deliverables to ensure smooth progress. Requirements: Primary Skills: Backend Services Programming in Python Extensive experience with backend programming using Python. Django Framework: Experience working with Django for developing backend services. RESTful APIs: Solid experience in building and maintaining RESTful APIs. AWS Services: Proficiency with AWS Services such as S3, Lambda, EC2/ECS, IAM, and DynamoDB for cloud-based applications. Database Management: Strong experience in managing databases, schema design, and ensuring data consistency and integrity. Experience: 5+ years of experience in backend development with a focus on Python and AWS services. Additional Skills: Strong problem-solving skills and the ability to debug complex issues. Effective communication skills and ability to work well in a collaborative, team-oriented environment. Can-do attitude with a passion for developing scalable software solutions. A B.Sc. in Computer Science or related fields (or equivalent experience). Innovative Environment: Work on groundbreaking projects using the latest technologies in the backend development space. Collaborative Team Culture: Be part of a team that values open communication and collaboration. Career Growth: Opportunities to learn, grow, and advance your career with continuous skill development and training. Competitive Benefits: We offer competitive compensation and a comprehensive benefits package to support your well-being. Apply Today! If you re a skilled Backend Developer with a passion for Python, AWS, and backend technologies, we encourage you to apply and join our growing team! Qualification : A B.Sc. in Computer Science or related fields (or equivalent experience).

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.

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.

Job Title: Manager - Data Science Location: Hyderabad Department: Data Science Employment Type: Full-Time, Permanent Role Overview: As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board! Key Responsibilities: Delivery & Project Management: Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis to extract meaningful insights. Own project roadmaps, ensure quality control, and drive timely delivery of projects. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows to enhance efficiency and streamline processes. Practice Development: Contribute to the scaling of Blend s Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML. Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team. Guide team members' career development and set performance benchmarks. Collaborate with cross-functional teams to ensure seamless execution of projects. Qualifications: Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL. Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks. Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. In-depth understanding of statistics, probability, stochastic processes, and causal inference. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines. Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What You Get in Return: Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience. Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers. Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills. If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture! Qualification : Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.

Job Responsibilities Lead discussions, design, and architect strategic initiatives from Customer Value Engineering, including performance optimizations and enterprise solution integrations. Maintain and organize a Systems/Integration repository across the Planful ecosystem to enhance reusability, rapid deployment, and scalability. Develop customized solutions within the Planful platform to support specific business requirements and Customer Value Engineering goals. Collaborate with Engineering architects on development initiatives for new features, focusing on scalable logging and methods to increase Planful customer adoption. Research and monitor application usage trends to deliver proactive insights for Customer teams and optimize application health. Enhance integration monitoring and alert capabilities across the Planful platform. Qualifications Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or equivalent experience. 1+ years of experience with SQL Server, SSAS, MDX, SSRS, and MongoDB. Proficiency in Python, Redis, JavaScript, jQuery, Node.js, HTML5, and CSS3. Experience in SOAP and RESTful web services. Experience with .NET and Java-related application development technologies. Technical expertise in developing reports, integrations, extensions, workflows, and other components. Experience with SQL Sentry, Sumo Logic, and other monitoring tools for workflow and monitoring setup is preferred. Excellent verbal and written communication skills at all organizational levels. Preferred Qualifications Minimum 1 year of experience with planning and analytics software, digital transformation, or cloud-based analytics solutions (Planful experience preferred). Working knowledge of income statements, balance sheets, cash flow statements, budgeting, forecasting, and financial consolidations. Hands-on experience leading or participating in data integration projects using enterprise-grade ETL tools (Boomi experience highly desirable). Knowledge of cloud platform scaling and performance optimization. Excellent written and verbal communication skills. Qualification : Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or equivalent experience

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.