Data Engineering Manager Corporate Engineering Jobs in Hyderabad

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: 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.

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.

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.

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

Business Development Manager Location: Hyderabad, India Employment Type: Full-Time Experience: 2 6 years About OXYZO Financial Services Ltd. OXYZO Financial Services Ltd. is a rapidly growing Fintech NBFC and a part of the OfBusiness Group. Headquartered in Gurugram, OXYZO specializes in B2B lending to SMEs and Emerging Corporates across India. Since its inception in 2017, OXYZO has built a robust AUM of 8,400 Cr and reported a PAT of 360 Cr in the last fiscal year. With a presence in 20+ cities including Hyderabad, OXYZO is backed by marquee investors like Creation Investments, Matrix Partners, Norwest, Tiger Global, and Alpha Wave. Role Overview We are seeking a dynamic and results-driven Business Development Manager to expand our footprint in Hyderabad. In this role, you will be responsible for acquiring SME and Emerging Corporate clients across a diverse range of industries including manufacturing, engineering, chemicals, pharma, textiles, and logistics. This is a high-impact role with significant earning potential, cross-functional collaboration, and exposure to leadership. Key Responsibilities Source and acquire SME and Emerging Corporate clients through direct outreach, referrals, and industry networking. Conduct detailed credit and risk analysis, and prepare credit notes to structure competitive and compliant financial deals. Ensure documentation completion and timely disbursement of loan facilities. Collaborate with the risk and leadership teams to structure deals and onboard clients efficiently. Identify and pursue new growth sectors and geographic clusters in collaboration with regional leadership. Build a strong network with industry players, business owners, and financial intermediaries to generate leads and drive business growth. 1+ years of experience in client acquisition for B2B financial products, preferably in Banks/NBFCs. Strong understanding of financial statements, including balance sheets and profit & loss statements. Excellent communication and interpersonal skills. Willingness to travel within the region to meet clients and stakeholders. Unlimited Earning Potential Attractive incentives with no cap; performance-driven earnings can match or exceed your annual CTC. Monthly Incentive Payments Regular payouts for monthly performance. Reimbursements Monthly travel and mobile expense reimbursements to cover sales costs. Comprehensive Insurance Full Mediclaim and Accidental Insurance coverage. Join a fast-scaling fintech leader backed by some of the top global investors. Be part of a mission-driven team creating financial inclusion and access for Indian SMEs. Thrive in a performance-oriented culture that recognizes and rewards high achievers. Opportunity to work with a seasoned leadership team and gain cross-functional exposure.

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).

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.

Digital Marketing Head Experience: 10+ Years Technology: SEO / SEM Department: Delivery Employment Type: Full-time, Permanent Job Function: Information Technology Work Mode: Work from Office (Hyderabad) About Machint With a startup spirit as we enter our 5th year of operations, Machint Solutions is looking for curious and courageous minds to join our journey. At Machint, innovation drives everything we do, and we go beyond the ordinary to redefine traditional business processes. We specialize in intelligent automation solutions and offer expert consultancy to help organizations kickstart their digital transformation journey. Our expertise spans RPA, BPM, Data Science, Digital Engineering, AI/ML, QA, and Business Consulting, enabling global organizations to achieve their digital goals. Machint is your Gateway to Transformation. Ready to be part of our exciting journey? Join us! Role Overview We are seeking a Digital Marketing Head who will play a strategic and entrepreneurial role, driving digital growth, expanding our solutions portfolio, and crafting innovative digital marketing campaigns that drive measurable business impact. The ideal candidate is a digital visionary, adept at combining creative strategies with data-driven insights, while fostering strong relationships internally and externally. Key Responsibilities Develop and manage a comprehensive digital marketing strategy, covering SEO/SEM, social media, email marketing, and digital advertising. Maintain and enhance Machint s social media presence across all relevant channels. Measure, analyze, and optimize campaign performance, ensuring data-driven decision-making and continuous improvement. Identify new business opportunities through digital partnerships, influencer collaborations, and vendor agreements. Build and nurture long-lasting customer relationships by understanding their needs and aligning digital efforts to address them. Own the digital sales revenue targets, ensuring campaigns directly contribute to top-line growth. Collaborate with cross-functional teams, including product, sales, and leadership, to align marketing strategies with business goals. Create and present sales reports, performance analysis, and realistic forecasts to the leadership team. Conduct market research to stay ahead of emerging trends, competitor strategies, and evolving customer needs. Leverage analytics tools to track and optimize key digital KPIs, ensuring both brand awareness and lead generation goals are met. Drive content strategy from creative ad copies to website content, ensuring it s engaging, impactful, and aligned with Machint s brand voice. Essential Requirements 10+ years of progressive experience in Digital Marketing leadership roles. Expertise in SEO, SEM, and digital advertising strategies. Proven track record of driving sales through digital channels. Strong understanding of social media algorithms, tools, and best practices. Experience with content creation, editing, and content marketing strategies. Ability to craft presentations, pitch digital strategies, and provide creative direction for campaigns. Experience in collaborating with influencers and driving strategic partnerships. Strong command over Google Analytics, Google Ads, Meta Ads Manager, and other relevant tools. Preferred Candidate Profile Male or Female candidates welcome. Strong understanding of the IT services industry. Excellent communication, interpersonal, and analytical skills. Attention to detail, ensuring accuracy across all marketing campaigns. Ability to work both independently and as part of a collaborative team. Comfortable in a fast-paced, dynamic environment. Employee Benefits 5-day work week Free lunch and snacks Festival celebrations, family day, and team outings Comprehensive health insurance Flexible working environment Company-sponsored certifications Travel opportunities Attractive bonuses Fixed, variable, project-linked, referral bonuses Diversity & Inclusion Machint is an Equal Opportunity Employer, welcoming applicants from all backgrounds, identities, and abilities. We are dedicated to creating an inclusive workplace where everyone feels valued and empowered.

Job Title: Senior Product Manager/Strategy Company: Oracle Location: Hyderabad Position Summary Oracle is seeking a Product Manager for its Oracle Insurance Policy Administration (OIPA) product within the Life & Annuities insurance space. OIPA is a leader in the market for life insurance policy administration, offering scalable and flexible solutions for life insurers. As a Product Manager, you will lead the full lifecycle of these products, from ideation through to market launch, working closely with cross-functional teams to deliver customer-centric solutions. Key Responsibilities Product Leadership: Own the end-to-end product lifecycle 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 innovative, scalable solutions. Industry Expertise: Possess deep knowledge of Life & Annuities insurance products (term life, whole life, universal life, annuities, riders). Lead the design of product templates and configurations for streamlined implementation. Stay updated on regulatory, market, and technological trends to anticipate changes and opportunities. Innovation with GenAI: Explore and implement Generative AI-driven solutions to enhance product personalization, underwriting, customer service, and claims management. Work closely with data science and engineering teams to develop AI-enabled tools and bring innovative solutions to market. Stakeholder Communication: Present complex ideas and strategies to stakeholders, clients, and executive leadership in a compelling manner. Develop persuasive product documentation, including business cases, product requirements, and technical specifications. Represent Oracle at industry events, conferences, and client meetings. Implementation Expertise: Leverage experience in implementing Life & Annuities insurance products across various platforms. Work with delivery teams to ensure seamless product launches and customizations. Additional Responsibilities: Gather and document business requirements for new enhancements. Collaborate with product teams to develop user stories, UI mock-ups, and solicit user feedback. Work with sales and marketing teams to develop product collateral and maximize product adoption. Conduct presentations and training sessions to internal stakeholders, customers, and partners. Ideal Candidate Qualifications/Skills Education: Bachelor s or Master s degree in Commerce, Business, or Computer Science from a reputed college/university. Experience: At least 8 years of relevant experience with a minimum of 6 years in Life & Annuities insurance. Industry Expertise: Strong experience in designing or implementing Life & Annuities insurance products. Solutioning Skills: Proven track record of delivering client-focused solutions and managing implementation plans. Project Management: Ability to manage multiple projects, deadlines, and priorities in a fast-paced environment. Collaboration: Strong organizational skills and the ability to work effectively across cross-functional teams. Self-Starter: Proactive, results-driven with a focus on continuous improvement and staying updated with emerging market trends and technologies. Certifications: Any certifications in the Life Insurance domain are a plus. Preferred Skills Experience with Generative AI applications in insurance. Strong leadership and communication skills to engage internal and external stakeholders. Prior experience with insurance policy administration systems. Qualification : Bachelors or Masters degree in Commerce, Business, or Computer Science from a reputed college/university.

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.

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.

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.

About the Job Like Google's own ambitions, the role of a Software Engineering Manager goes beyond Search. This position combines technical leadership with team management to drive high-impact AI/ML projects while enabling engineers to deliver their best work. You ll manage project goals, product strategy, and team development, ensuring that both innovation and execution stay at the forefront. Google s engineering teams tackle challenges across AI, natural language processing, large-scale system design, distributed computing, security, and more. As a manager, you ll guide the team in exploring new technologies while building AI/ML solutions that scale for Google's IT and Support business, driving efficiencies at scale through automation. In Corp Eng, we deliver world-class business solutions for all Googlers. By combining AI, ML, and automation, we help improve processes, build impactful solutions, and empower teams to create more helpful products and services. Simply put: We are Google for Googlers. Responsibilities Lead a team of engineers, driving technical strategy and execution of key AI/ML projects, ensuring timely and high-quality delivery. Build applied ML products using the latest ML techniques and tools (e.g., TensorFlow, deep learning, natural language processing). Drive engineering projects and ML model development to enable agentic automation and deliver scalable solutions. Collaborate with leadership across functions to identify new opportunities, design solutions, and shape the vision for AI/ML in the IT and Support space. Minimum Qualifications Bachelor s degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development using one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow) or applied ML (e.g., deep learning, natural language processing). 3 years of technical leadership experience, including 2 years in people management or team supervision. Preferred Qualifications Master s degree or PhD in Engineering, Computer Science, or a related technical field. Strong knowledge of AI/ML algorithms, techniques, and tools. Excellent problem-solving, analytical, and communication skills.

Description The CSG Strategy & Analytics Senior Manager professional will play a crucial role in supporting the explosive growth of Salesforce. This role is a hybrid of traditional jobs in strategic planning, renewals strategy, business operations, reporting, and analysis requiring a mix of market analysis, renewals analytics, and business operational support. This role is part of a high-performance team comprised of professionals from a diverse set of backgrounds and skills. Success in this role means assisting the Renewals team to drive the continued success of Salesforce by supporting our customer success strategy and will play a pivotal role in driving the growth of Salesforce's Renewals. Sample projects range from the strategic to the very operational including evaluating growth opportunities, business planning, customer segmentation, dashboard creation, automation of processes, and regular review of key performance metrics. As a people manager, this role will lead a team of versatile analysts and senior analysts, fostering a collaborative and high-performing environment. The deliverables include detailed analytic models, custom performance analysis, building scalable reporting, ensuring robust data governance, and packaging findings into presentation-ready content for Salesforce executives. The role requires interaction with various areas of the organization and provides exposure to senior executives. Additionally, this role will serve as a key partner to the data engineering contacts based in India to ensure a comprehensive data strategy for the evolving business. We are seeking a strategic thinker who can effectively balance detailed analysis with a comprehensive understanding of broader business objectives. The ideal candidate will possess the ability to synthesize complex data and insights into clear, actionable strategies that align with our overarching goals. Responsibilities: Lead and manage a group of Analysts, Senior Analysts and Managers in their growth and understanding of the business. This includes offering guidance on complex projects, sharing industry insights, and supporting their development of critical skills necessary for success in their roles Deliver recommendations and insights that support senior stakeholders (VPs and SVPs) in managing their KPIs Act as the primary point of contact for data engineering teams based in India, ensuring a robust data strategy roadmap that aligns with the evolving needs of the business. Collaborate closely with engineering contacts to implement best practices in data management, governance, and integration. Understand the underlying data architecture supporting the Renewals business, and how to use it to report on business performance and forecast results. Assist in developing and delivering presentations for senior executives to engage with their leaders or counterparts Identify and optimize the true drivers of financial performance, productivity, customer engagement, and other metrics Lead the development of Business Intelligence (BI) dashboards for use by global leaders and field teams in the CSG Renewals group and broader Customer Success Group Spearhead initiatives to automate reporting processes, enhancing efficiency and accuracy. Develop and implement automated reporting solutions that provide timely and actionable insights, reducing manual effort and enabling the team to focus on strategic analysis. Desired Skills/Experience: 7+ years of experience in renewals/sales analytics, business intelligence, or a related field. 4+ years of experience in managing and leading teams, with a proven track record of fostering a collaborative and high-performing environment. Demonstrated experience in dealing with data governance, including the implementation of best practices for data quality, security, and compliance. Self-starter and a high degree of motivation to go above and beyond the task at hand Bachelor s degree in the quantitative field from an accredited university. MBA or Masters in a technical field a plus Proficiency with SQL and Tableau (or a similar data visualization tool). Python and/or R a plus Valuable work experience focused on quantitative analysis, Excel, and logical reasoning Experience creating BI dashboards and assets end-to-end; from initial scoping, data wrangling, asset creation, deployment and enablement Familiarity with CRM and data management Strong communication skills; both written and verbal Team player able to lead and work effectively at all levels of an organization with the ability to influence others to move toward consensus Strong situational analysis, negotiation, and decision-making abilities. Detail and quality-oriented with the desire to quickly learn new concepts, business models, and technologies Qualification : Bachelors degree in the quantitative field from an accredited university. MBA or Masters in a technical field a plus

Minimum qualifications: Bachelor s degree or equivalent practical experience. 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. Experience developing accessible technologies. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google s IT organization, we provide end-to-end solutions for organizations across Google. With an inclusive mindset, we deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers. Responsibilities Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Qualification : Bachelors degree or equivalent practical experience.

Company Overview: Microsoft s mission is to empower every person and every organization on the planet to achieve more. The Microsoft Security Response Center (MSRC) team is at the forefront of this mission, ensuring the security of Microsoft's products, including the Azure platform. The team operates in an agile, start-up-like environment where innovation, collaboration, and fast-paced execution drive success. We are seeking a skilled Data Scientist to join our dynamic and growing team. This is a unique opportunity to work alongside engineers, data scientists, and security experts to build foundational services that will shape the future of security response. Role Overview: As a Data Scientist at MSRC, you will leverage your expertise in Large Language Models (LLMs), Machine Learning (ML), and Natural Language Processing (NLP) to design and build systems capable of reasoning over vast amounts of data. You will collaborate closely with engineering teams to develop fine-tuned LLM models, evaluate model outputs, and work on solutions that align with the product's needs. This role requires you to think creatively and work across teams to drive innovative solutions while maintaining productive working relationships with stakeholders. Key Responsibilities: Develop ML Systems: Design, build, and deploy systems that enable LLMs to reason over large data sets, leveraging lighter models where applicable. Collaborate with Engineering Teams: Work closely with engineers and partner teams to deliver solutions, including fine-tuning LLM models and evaluating model outputs for product requirements. Applied Science & Experimentation: Conduct experiments in applied science, develop metrics, build ML pipelines, and implement algorithms for LLM, NLP, and Information Retrieval. Data Management & Integrity: Prepare and manage data, ensure data cleanliness, and communicate project updates to senior leadership. Contribute to data ethics and privacy policies. Build Conversational Models: Develop and deploy conversational models for natural language understanding at scale. Responsible AI & Privacy: Advocate for and follow best practices in Responsible AI and Privacy Preserving Machine Learning. Stakeholder Collaboration: Collaborate with security, engineering, and product teams to align models with business goals, gather feedback, and drive effective execution of strategies. Thought Leadership: Provide feedback to engineering teams, identify business opportunities, and contribute to industry best practices. Required Qualifications: Bachelor's Degree in Computer Science or a related technical field AND 4+ years of technical engineering experience in languages like C, C++, C#, Java, JavaScript, or Python, OR Master's Degree in Computer Science or a related field AND 3+ years of technical engineering experience, OR Equivalent experience in the field. 3+ years of hands-on experience in Machine Learning. Proficiency in using ML tools such as Pytorch and TensorFlow. Experience in prompt engineering, fine-tuning, and using OpenAI or Azure Open AI APIs. Strong system development skills with experience in developing both rapid prototypes and complex, architected systems. Preferred Qualifications: Experience developing and deploying conversational models at scale. Familiarity with Responsible AI practices and Privacy Preserving Machine Learning. Ability to collaborate with cross-functional teams and work in a fast-paced environment.

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. #LI-DNI#EasyApply Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field