Title Python & AWS Full Stack Engineer Location - Bangalore Exp. Range 1 Lead (8-10 years) & 1 Sr (5-6 Years) Mode - Hybrid (3 days / week WFO) Shift Timing 7 AM to 4 PM. Must Have Skills : Good experience of Django, Python for building Application Development & packaging (docker & containerization) Good experience of AWS services - EC2, ECR, CloudWatch. Hands on experience of : MLOps (AI Model deployment) and related activities. Good to Have : Good understanding of GenAI & AI. Exposure to Fraud & cyber security in BFS. Roles and Responsibilities: Develop and maintain full-stack web applications using Python and AWS. Collaborate with the product and design teams to define software requirements and specifications. Design,implement, and maintain back-end and front-end component applications. Write clean, efficient, and maintainable code while ensuring optimal system performance. Perform code reviews and mentor junior developers to maintain code quality. Participate in architectural and design discussions to contribute to the technical vision of the projects. Troubleshoot, debug, and resolve software defects and issues. Stay up to date with the latest industry trends, best practices, and emerging technologies. Contribute to the continuous improvement of development processes and methodologies.

Role: AWS DevOps Architect Lead Exp.: 15+ years Job Description: Overall, 15+ years of experience with 5 years of hands-on experience in deployment automation using IaC, Configuration management, Orchestration, Containerization, and running a complete CI/CD pipeline on both cloud and on-prem. Thorough understanding and hands-on skills in the below Infrastructure as Code: Terraform, AWS CloudFormation, Puppet. Source control: GitLab, GitHub. CI/CD: Jenkins, GitLab CICD. Containerization/Orchestration: Kubernetes, AWS ECS, AWS EKS, Docker. CDN: Akamai, AWS CloudFront. Monitoring: AWS Cloud watch, New Relic. Security: AWS Code Guru, Guard Duty, Security Hub, Snyk, Veracode, Rapid7. Programming/Scripting: Python, Shell scripting Good understanding of networking, security rules, firewalls, WAF, API gateways, and auto-scaling principles. Hands on experience using AWS (VPC, Subnets, ALB/NLB, RDS, ECS, SQS, Cognito, Lambda, Memcached ) is required. Understanding of Programming concepts and best practices is required. Experience dealing with production incidents in multi-tier application environment is required. Experience managing production workloads with Site Reliability Engineering best practices. Good understanding of various deployment strategies (Rolling updates, Blue/Green, Canary) Strong exposure on DevSecOps testing methods SAST, DAST, SCA is preferred.

Role: Lead Data Engineer Experience: 8-12 years Must-Have: 8+ years of relevant experienceinData Engineeringand delivery. 8+ years of relevant work experience in Big Data Concepts. Worked on cloud implementations. Have experience in Snowflake, SQL, AWS (glue, EMR, S3, Aurora, RDS, AWS architecture) Good experience withAWS cloudand microservices AWS glue, S3, Python, and Pyspark. Good aptitude, strong problem-solving abilities, analytical skills, and ability to take ownership asappropriate. Should be able to do coding, debugging, performance tuning, and deploying the apps to the Production environment. Experience working in Agile Methodology Candidates having experience in Requirement Gathering, Analysis, Gap Analysis, Team Leading & Ownership & Client communication would be preferred Ability to learn and help the team learn new technologiesquickly. Excellentcommunication and coordination skills Good to have: Have experience in DevOps tools (Jenkins, GIT etc.) and practices, continuous integration, and delivery (CI/CD) pipelines. Spark, Python, SQL (Exposure to Snowflake), Big Data Concepts, AWS Glue. Worked on cloud implementations (migration, development, etc. Role & Responsibilities: Be accountable for the delivery of the project within the defined timelines with good quality. Working with the clients and Offshore leads to understanding requirements, coming up with high-level designs, and completingdevelopment,and unit testing activities. Keep all the stakeholders updated about the task status/risks/issues if there are any. Keep all the stakeholders updated about the project status/risks/issues if there are any. Work closely with the management wherever and whenever required, to ensure smooth execution and delivery of the project. Guide the team technically and give the team directions on how to plan, design, implement, and deliver the projects. Education: BE/B.Tech from a reputed institute.

Job Title : AVP, Data and Enterprise Engineering We are seeking a highly skilled and experienced Director of Data and Enterprise Engineering to lead our Data Management and Enterprise Engineering team and oversee client discussions and proposals involving the cloud. The ideal candidate should have a strong engineering background with proficiency in software application delivery and a proven track record in data management. Key Responsibilities : This is a leadership role, and one can play multiple hats and have many learning and growth opportunities. This role will also allow building expertise in the chosen area over a period, for career advancement. Technical areas Data Management : Understand data ecosystem data strategy aligning with business goals, data governance, quality, medallion architecture, and so on Oversee the design and implementation of modern data platforms Cloud Services and Infrastructure : Manage proposals and projects involving cloud service providers (e.g., AWS, Azure, Google Cloud) Ensure the efficient and secure integration of cloud services with existing data systems Optimize cloud-based data storage and processing solutions for performance and cost-effectiveness Software Engineering Project Delivery : Leverage engineering expertise to oversee the delivery of enterprise software projects for global customers Leadership areas Team Management and Capability Building : Lead and mentor a team of data engineers, analysts and scientists. Provide guidance, support, and professional development opportunities to team members. Foster a collaborative and innovative team environment. Build capability within organizations such as building a FinOps competency as an example Be a champion of continuous learning and professional growth Hiring and Retention Strategy : Develop and implement effective hiring and retention strategies to attract and retain top talent Conduct interviews, evaluate candidates, and make hiring decisions Implement initiatives to enhance employee satisfaction and reduce turnover Set up career growth plans for team members to support their professional development and long-term retention Business growth Proposals and contracts : Lead the development and management of Requests for Proposals (RFPs) and Statements of Work (SOWs) for data management projects. Ensure all proposals and contracts meet organizational standards and client requirements. Stakeholder Collaboration : Internal and external stakeholder management is required for various initiatives Thought Leadership: Demonstrate thought leadership in the field of data and AI Be active in the community through social media, events and conferences, etc. Required Skills and Qualifications : Technology leader with an engineering background and proven experience in leading data-driven solutions Experience in S ervice industry is a must (managing proposals, RFPs, SOWs, utilization management, etc.). Exposure to consulting is nice to have. Proficiency with one of the cloud service providers (e.g., AWS, Azure, Google Cloud) Excellent understanding of data ecosystem including MDM, data governance, dq, data architecture, data observability, and data consumption (analytics/ ai/ data democratization) Understanding of enterprise architecture , product & platform engineering Strong leadership, communication, and interpersonal skills with growth mindset Ability to manage multiple projects and priorities in a fast-paced environment. Experience in developing hiring and retention strategies, including setting up career growth plans, Bachelors or masters degree in computer science, Engineering, Data Science, or a related field.

Role: AWS DevOps Lead Exp.: 8+ years Job Description: Overall, 8+ years of experience with 5 years of hands-on experience in deployment automation using IaC, Configuration management, Orchestration, Containerization, and running a complete CI/CD pipeline on both cloud and on-prem. Thorough understanding and hands-on skills in the below Infrastructure as Code: Terraform, AWS CloudFormation, Puppet. Source control: GitLab, GitHub. CI/CD: Jenkins, GitLab CICD. Containerization/Orchestration: Kubernetes, AWS ECS, AWS EKS, Docker. CDN: Akamai, AWS CloudFront. Monitoring: AWS Cloud watch, New Relic. Security: AWS Code Guru, Guard Duty, Security Hub, Snyk, Veracode, Rapid7. Programming/Scripting: Python, Shell scripting Good understanding of networking, security rules, firewalls, WAF, API gateways, and auto-scaling principles. Hands on experience using AWS (VPC, Subnets, ALB/NLB, RDS, ECS, SQS, Cognito, Lambda, Memcached ) is required. Understanding of Programming concepts and best practices is required. Experience dealing with production incidents in multi-tier application environment is required. Experience managing production workloads with Site Reliability Engineering best practices. Good understanding of various deployment strategies (Rolling updates, Blue/Green, Canary) Strong exposure on DevSecOps testing methods SAST, DAST, SCA is preferred.

Role: Azure Architect Exp.: 10+ years Job Description: 10+ years of experience in IT, with at least 5 years focused on cloud architecture and Microsoft Azure. 5+ experience leading technical teams, providing mentorship, and fostering a collaborative and innovative environment. 5+ years of experience with agile project methodologies and managing diverse teams across different time zones. Advise clients on various solution options, discuss benefits and risks of each, and recommend a solution that aligns with the client's business needs and requirements. Provide expert guidance and strategic direction on Microsoft Cloud, Azure, and Azure DevOps projects, ensuring alignment with best practices and organizational goals. Lead the design and delivery of custom solutions using Azure services, either through development or configuration tools, ensuring scalability, reliability, and security. Develop and implement cloud architecture strategies, including new deployments, migrations, and integration with existing systems. In-depth knowledge of Azure services, including compute, storage, networking, security, and database offerings. Strong experience in designing and architecting complex cloud solutions, with a focus on scalability, performance, and security. Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Advanced analytical and problem-solving skills, with the ability to identify and address technical challenges effectively.

Role: Power Platform Developer Exp.: 6-9 years Location: Hyderabad Job Description: Create and manage applications in Canvas, with a focus on deep-linking concepts and responsive layouts. Develop and customize Model-Driven Apps to address complex business needs and provide rich user experiences. Implement and manage Dataverse to enable seamless data integration and management across apps. Utilize Power Automate to design and implement automated workflows that streamline processes and improve efficiency. Develop Azure Logic Apps, Azure Functions, and Power BI solutions to extend application capabilities and support data-driven decision-making. Integrate Power BI reports and dashboards into Canvas and Model-Driven Apps to provide insightful data visualizations. Hands-on experience with Canvas Apps, Model-Driven Apps, Power Pages, and Dataverse. Experience with Power Automate for creating and managing automated workflows. Skilled in the installation and configuration of data gateways to facilitate seamless data integration. Ability to design and implement solutions that incorporate multiple data sources and integrate with Microsoft 365 and SharePoint. Experience with developing Azure Logic Apps, Azure Functions, and Power BI solutions.

Role: Java Backend Developer Location: Hyderabad Exp.: 6+ years Job Description: We are seeking candidates for senior and lead positions with a minimum of 6+ years of relevant experience. Build strong back-end services, APIs, and databases to support app functionality and performance. Manage servers, databases, and application logic to ensure smooth operation and integration. Design and develop RESTful APIs to enable communication between various systems and services. Candidate must have 2-3 implementation life cycle. Full-stack developers with hands-on Java, Spring Boot, SpringMVC, AJAX, jQuery, HTML5, Hibernate, JPA, Maven including experience writing SQL queries with post PostgreSQL, Oracle, and DB2. Develop and implement back-end services using Java, with a strong emphasis on the Spring Boot framework. Must be very proficient with Git/Bitbucket Source Control Systems.

Designation: Power BI Developer Experience: 8 to 10 years Key Skills: Power BI, SQL, Tableau, Role & Responsibilities: Working experience in insurance reporting. Connecting data sources, importing data, and transforming data for Business intelligence. Experience in building BI solutions Knowledge of data analysis techniques and best practices Working experience with Power BI. Adept in developing, publishing, and scheduling Power BI reports as per the business requirements. Developing visual reports, dashboards, and KPI scorecards using the Tableau desktop Transformations, filters, prompts, Calculated fields, Sets, Groups, Parameters, Graphs, Forecasts, etc., in Tableau. Must have used geo codes for Map layout Extensive knowledge of using action filters, LODs Good knowledge of tableau functions, date, string, numeric, etc. Experience gathering and refining requirements. Good Statistical and Analytical knowledge. Excellent analytical, organization, prioritization, and oral/written communication skills. Qualifications Strong experience with Power BI. Proficiency with SQL programming Strong analytical skills with the ability to gather and understand complex business requirements and translate them into reporting solutions Excellent communication skills, both written and verbal Experience with data visualization best practices and user experience design is a plus Working experience in insurance reporting. Experience in building BI solutions Knowledge of data analysis techniques and best practices Working experience with Tableau Effective spreadsheet modeling skills Adept in developing, publishing, and scheduling Power BI reports as per the business Developing visual reports, dashboards, and KPI scorecards using Power BI desktop Advanced SQL writing skills, and a strong understanding of relational and dimensional data models Extensive knowledge in various reporting objects and it include Facts, Attributes, Hierarchies, Transformations, filters, prompts, Calculated fields, Sets, Groups, Parameters, Graphs, Good knowledge of tableau functions, date, string, numeric, etc. Experience gathering and refining requirements. Good Statistical and Analytical knowledge. Have an ability to lead the team.

Role: Project Manager (6-Openings) Positions: 6 (Kolkata - 2 and Hyderabad - 4) Experience: 6-10 years in Technology Companies Only. Job_Responsibilities: Drive End to End program management of the initiatives from requirements to delivery for wide range of customers. Responsible to prepare User Stories, Data Flow, Business Requirement Document (BRD), Functional Requirement Specification (FRS) and Use-cases, for every initiative. Construct workflow charts and diagrams in collaboration with Customers and ZINFI Product. Create detailed plans for execution and implementation of new processes taking customer into confidence. Monitor project progress and perform daily, weekly and monthly reviews. Analyses of current processes using operational metrics and reports as mandated by the customer. Communicate with team heads regarding common challenges, roadblocks and other issues that interrupt their workflow Producing detailed costing for customers and ensuring the contract is profitable. Ensuring that the company's product & features can deliver on the customer's requirements. Key Skills and Expertise: Ability to impact operations and effect change without being confrontational Detail oriented, analytical, and inquisitive Ability to work independently and with others Extremely organized with strong time-management skills Excellent communication skills and ability to explain complex issues Excellent Project Management skills (Aha, MSProject, JIRA, ADO,..) Customer Awareness: Ability to understand the customer, their needs, their workflows, their business, potential impact opportunities and their KPIs. Business Awareness: Ability to understand ZINFIs offering, what can be done to solve a business case for a customer with ZINFIs offering. About ZINFI Technologies Inc.: Headquartered in the Silicon Valley area near San Francisco, California, ZINFI Technologies Inc. is a leading global provider of innovative services. Established in 2004, ZINFI operates with a corporate office in California and regional offices in Australia, China, India, Japan, Singapore, the UK, and the US. In India, our offices located in Kolkata and Hyderabad. As a rapidly growing technology company led by an experienced management team, ZINFI offers a unique and dynamic work environment. This is an exceptional opportunity to join an exciting business and grow your career in a thriving global organization. To learn more about us, please visit our website: www.zinfi.com

Role: AWS Data Engineer Exp.: 5+ years Location: Gurugram, Noida & Pune (Hybrid 3 days work from Office) Job Description : Candidate should Provide technical expertise in needs identification, data modeling, data movement, and translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective. Good knowledge of conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL). Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively Requirement: 5+ Years of experience as a Data Engineer Strong technical expertise in SQL is a must Strong knowledge of joins and common table expressions (CTEs) Strong experience with Python Experience in Data brick, Pyspark Strong expertise in ETL process and with various data model concepts Knowledge of star schema and snowflake schema Good to know about AWS services such as S3, Athena, Glue, EMR/Spark with a major emphasis on S3 and Glue Experience with Big Data Tools and technologies Key Skills: Good Understanding of data structures and data analysis using SQL or Python Knowledge of Insurance Domain is an addition. Knowledge of implementing ETL/ELT for data solutions end-to-end Understanding requirements, and data solutions (ingest, storage, integration, processing) Knowledge of analyzing data using SQL Conducting End to End verification and validation for the entire application Responsibilities : Understand and translate business needs into data models supporting long-term solutions. Perform reverse engineering of physical data models from databases and SQL scripts. Analyze data-related system integration challenges and propose appropriate solutions. Assist with and support setting the data architecture direction (including data movement approach, architecture/technology strategy, and any other data-related considerations to ensure business value)