Job Title: AWS Infrastructure Engineer (Generative AI Platform Support) Location Hyderabad, Telangana, India Key Responsibilities As an AWS Infrastructure Engineer focusing on Generative AI Platform Support, you will: Cloud Infrastructure Management: Provide technical support for our Generative AI platform, with a strong focus on the integration of cloud infrastructure deployment and ongoing maintenance. Resilience & Scalability: Assess and enhance the AI platform's cloud infrastructure and data pipeline resilience using AWS and cloud-based technologies. Ensure the scalability and fault tolerance of AI/ML models within cloud environments. Performance Optimization: Identify and resolve bottlenecks in model inference and training pipelines, focusing on performance and resource optimization. Optimize cloud resource utilization on AWS for real-time use cases, including AI model deployment. DevOps Collaboration: Work closely with the DevOps team on improving cloud deployment processes and managing AWS infrastructure. Automated Testing: Implement automated testing to simulate fault tolerance and ensure high availability of the platform. Technical Support: Provide ongoing technical support for users of the Generative AI platform, troubleshooting issues and responding to queries to ensure seamless operations. Monitoring & Cost Optimization: Monitor cloud platform performance on AWS, identifying and implementing optimization strategies to improve cost efficiency and scalability. AWS Services Utilization: Work hands-on with various AWS cloud services (e.g., EC2, S3, Lambda, VPC) to ensure proper configuration management and performance. Documentation: Document key processes, issues, and solutions for knowledge sharing and future reference. Continuous Learning: Stay updated with industry trends in Generative AI, cloud technologies, and AWS cloud administration. Mandatory Skills & Experience Technical Proficiency: AWS Cloud Administration: Expertise in AWS Cloud Administration and Infrastructure management. AWS Services: Hands-on experience with AWS cloud services including EC2, S3, Lambda, VPC . Cloud Infrastructure & Data Pipelines: Proven ability to assess and enhance cloud infrastructure and data pipeline resilience using AWS and cloud-based technologies. Scalability & Fault Tolerance: Experience ensuring scalability and fault tolerance of AI/ML models within cloud environments. Performance Optimization: Ability to identify and resolve bottlenecks in model inference and training pipelines, focusing on performance and resource optimization. Resource Optimization: Experience optimizing cloud resource utilization on AWS for real-time use cases. Automated Testing: Ability to implement automated testing to simulate fault tolerance and ensure high availability. Monitoring: Experience monitoring cloud platform performance on AWS. Experience & Qualifications: Proven experience in providing technical support for AI platforms with a focus on cloud infrastructure. Demonstrated ability to collaborate with DevOps teams on cloud deployment processes and AWS infrastructure management. Essential Professional Skills Strong troubleshooting skills for technical issues. Ability to collaborate effectively with cross-functional teams. Strong communication skills for technical support and knowledge sharing. Proactive approach to identifying and implementing optimization strategies .

Job Title: Senior QA Engineer Experience Level 3+ years of experience in QA Automation Key Responsibilities As a Senior QA Engineer, you will: Test Automation Development: Design, develop, and execute automated test scripts using Selenium WebDriver. Requirements Translation: Work closely with cross-functional teams to understand requirements and translate them into effective test cases. CI/CD Support: Support Continuous Integration (CI) and Continuous Delivery (CD) processes by integrating automated tests. Analysis & Reporting: Analyze and document test results, report bugs, and collaborate with the development team to resolve identified issues. Traceability: Maintain traceability between test cases and requirements to ensure comprehensive coverage. Testing Strategy: Contribute to performance and regression testing strategies. Domain-Specific Testing: Apply knowledge of claims processing in the insurance domain to improve test coverage and scenario realism. Test Data Management: Assist in creating and maintaining test data for automated testing. Agile Participation: Participate actively in code reviews, sprint planning, and other Agile ceremonies. Mandatory Skills & Experience Technical Proficiency: Selenium WebDriver: 3+ years of experience in QA Automation, specifically with Selenium WebDriver . Java: Proficient in Java programming language . DOM Identification: Strong knowledge in element DOM identification . BDD: Good understanding of BDD (Behavior-Driven Development) principles. Page Factory: Strong knowledge in Page Factory design pattern. QA Methodologies: Strong understanding of QA methodologies, test planning, and test case design . DevOps Tools: Hands-on experience with tools like JIRA, Azure DevOps, TestNG, Maven, Git, Jenkins , etc. Domain & Methodology: In-depth understanding of insurance industry processes and terminology , particularly claims processing. Experience working in Agile Scrum environments . Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. Essential Professional Skills Excellent analytical and problem-solving skills . Strong communication skills , both written and verbal. Ability to work closely with cross-functional teams. Preferred Qualifications Experience with API testing tools like Postman or Rest Assured. Familiarity with BDD frameworks such as Cucumber. Knowledge of performance testing tools (e.g., JMeter). ISTQB or other QA certifications . Experience with cloud-based testing tools or environments (e.g., AWS, Azure DevOps).

Strong programming skills using JDK 8.0 or greater Hands on in core java with an understanding of core design patterns Should be able to understand and write various UML diagrams like sequence diagrams, class diagrams etc. Hands of experience in Spring framework, JPA or similar ORM framework Experience in developing cloud native applications using AWS Lambda, S3, API Gateway, ECS Working experience in Oracle PL/SQL Experience in developing CI/CD pipeline, Github etc. Strong verbal and written communication skills Work closely with stakeholders and BA to understand requirements Develop functionalities and APIs and perform Integration testing Deploy ddeveloped artifact in SIT and UAT environments Support during SIT / UAT and go-live Skill Java 8 and microservices SQL and Database programming

Should have strong knowledge in MS Sentinel SIEM engineering and administrative activities. People who are in operational profiles cannot apply for this position. Should have performed SIEM engineering role more than 4+ years. Problem solving & People management skill is required. Should have expertise in building custom analytical rules, tuning of analytical rules, building automation through Azure logic apps, management of entire product feature, end to end configuration. Should have expertise in forming KQL queries and functions for complex detection and monitoring requirements. Should have strong knowledge in MITRE attack framework and expertise in developing analytical rules and custom dashboards/workbooks across framework. Should have expertise in log management, retentions, maintenance of logs at low cost, performing access management, developing new custom dashboard based on different requirements. Should have proven record of implementing Sentinel advanced features, efficient log collection mechanisms, deployment and maintenance of log forwarders, maintenance of local agents. Should have expertise in integrating data sources which are not supported by Sentinel tool OOB. Custom parser development and ability to solve technical issues in Sentinel are must have requirements. Should have ability to prepare and maintain policy and procedure documentations around SIEM technology, document life cycle management skill is required. Should have expertise in consuming contents from content hub and management of log analytics workspace and ability to handle issues in MMA and AMA agents. Should have proven record of participation in customer or client reviews or global certifications regarding security controls in SIEM. Compliance and regulatory requirements understandings are good to have. Preference will be given for candidates completed Sentinel Ninja Level 400 Training and Certification. Good to have strong knowledge in Microsoft Sentinel pricing, Microsoft defender products, Microsoft Cloud services and Azure Arc. Should have ability to work with stakeholders to solve technical issues and also to support and deliver complex business, security and operational requirements. Should have ability to work with vendor technical support group and driving issues towards effective and permanent closure. Having knowledge and hands-on experience in Microsoft Defender XDR stack will be an added advantage.

Develop and maintain a metadata driven generic ETL framework for automating ETL code Design, build, and optimize ETL/ELT pipelines using Databricks (PySpark/SQL) on AWS . Ingest data from a variety of structured and unstructured sources (APIs, RDBMS, flat files, streaming). Develop and maintain robust data pipelines for batch and streaming data using Delta Lake and Spark Structured Streaming. Implement data quality checks, validations, and logging mechanisms. Optimize pipeline performance, cost, and reliability. Collaborate with data analysts, BI, and business teams to deliver fit for purpose datasets. Support data modeling efforts (star, snowflake schemas) de norm tables approach and assist with data warehousing initiatives. Work with orchestration tools Databricks Workflows to schedule and monitor pipelines. Follow best practices for version control, CI/CD, and collaborative development Skills Hands-on experience in ETL/Data Engineering roles. Strong expertise in Databricks (PySpark, SQL, Delta Lake), Databricks Data Engineer Certification preferred Experience with Spark optimization, partitioning, caching, and handling large-scale datasets. Proficiency in SQL and scripting in Python or Scala. Solid understanding of data lakehouse/medallion architectures and modern data platforms. Experience working with cloud storage systems like AWS S3 Familiarity with DevOps practices Git, CI/CD, Terraform, etc. Strong debugging, troubleshooting, and performance-tuning skills.

6-7+ years of experience in P&C Insurance, Claims handling process. Determine operational objectives by understanding the business function, scope of the product or request. change required, deliverables and outcome expected by closely working with the business and operation stakeholders. Construct workflow charts and diagrams; studying system capabilities; writing specifications Define project requirements by identifying project milestones, phases and elements; forming project team; establishing project budget Discover new opportunities to deliver deep and actionable business insights to key stakeholders Prepare technical reports by collecting, analyzing and summarizing information and trends Closely work with Business, Underwriter, Finance and Actuarial department to define data requirements, map data elements across systems and define output expected. Write clear and well-structured business requirements/documents Coordinate with different departmental teams to produce better business outcomes Support testing on system changes made to ensure its as per requirements provided. Convert roadmap features into smaller user stories Communicate to validate requirements and seek approval from relevant stakeholders

We are seeking an experienced Product Owner with 8years to 12 years with a strong background in payments systems to work with our QA teams in building a testing framework for our products. The ideal candidate will have deep domain expertise in liquidity payments, high-value/low-value payments, clearing systems, and regional payment schemes such as EMEA or Asia Payments. Prior experience as a Business Analyst (BA) will benefit the role. In addition to traditional product ownership capabilities, the candidate should possess a working knowledge of AI-based automation frameworks, enabling effective collaboration with QA and engineering teams, and informed decision-making around quality, delivery, and test optimization strategies. Proven experience as a Product Owner, within the banking and financial services domain. Qualification Hands-on experience with high value, low value payment processing. Strong knowledge of Agile/Scrum methodologies. Familiarity with testing frameworks (JUnit, Selenium, Cucumber) and collaboration with QA teams. Extensive experience with T24 Core Banking system including Indepth knowledge of key modules AA, FT, PM, ST integration for payment processing, and understanding of data structures and COB processes. Proven expertise in domestic and international payment systems covering high value e.g., RTGS, CHAPS low-value (e.g., ACH, SEPA, UPI), and regional schemes across EMEA SEPA, TARGET2 and Asia NEFT, RTGS, FAST as well as liquidity management and account services such as reconciliation and statements. Skilled in end-to-end product ownership, including defining product vision and strategy, managing and prioritizing product backlogs, writing user stories, and leading sprint planning and backlog grooming sessions. Strong analytical and problem-solving abilities with AI-based test automation frameworks (e.g., Testim, Mabl, ACCELQ, or equivalent) and ability to interpret test outcomes for decision-making.

Strong Application Development work experience - Agile environment preferred Solid application design, coding, testing, maintenance and debugging skills Experience with Junit and Cucumber testing. Experience with APM Monitoring tools and logging tools like Splunk Proficiency with JIRA, Confluence (preferred). Expertise in development using Core Java, J2EE, XML, Web Services/SOA and used Java. frameworks - Spring, spring batch,Spring-boot, JPA, REST, MQ. Knowledgeable in developing RESTful micro services with technical stack, hands on experience in AWS Working with GIT/Bitbucket, Maven, Gradle, Jenkins tools to build and deploy code deployment to production environments. Hands on for CI/CD Kubernetes

Design, develop, and maintain Java-based microservices. Write clean, efficient, and well-documented code. Collaborate with other developers and stakeholders to define requirements and solutions. Participate in code reviews and contribute to team knowledge sharing. Microservices Architecture: Understand and apply microservices principles and best practices. Design and implement RESTful APIs. Experience with containerization technologies (e.g., Docker) and orchestration (e.g., Kubernetes). Knowledge of distributed systems and service discovery. Experience with design patterns (e.g., circuit breaker pattern, proxy pattern). Deep understanding of distributed systems and service discovery.

Minimum of 5-7 years of experience as a Microsoft Dynamics CRM developer. Proficiency in Microsoft Dynamics CRM (Dynamics 365 preferred) Strong knowledge of C#, .NET, JavaScript, HTML and SQL Familiarity with Power Platform (Power BI, Power Apps, Power Automate) is plus. Strong communication and interpersonal skills. Ability to work independently and as part of a team Integration experience with 3rd party system using API (Rest/Soap), SFTP Own code quality, Unit testing packaging of the code Own code promotion, deployment and testing of new code in various environments Experience building Dynamics/PowerApps Prototypes, Proof of Concept and Wireframes Design, develop, and customize Microsoft Dynamics CRM solution to meet Business requirements Create and manage entities, forms, workflows, business rules and Plugins Integrate Microsoft Dynamics CRM 365 with other enterprise systems and third-party application Perform system administration tasks including user management, security toles and data management, monitor system performance and implement optimizations and enhancements. Should have experience in Power Pages and Azure Active Directory B2C is preferred Develop and maintain custom reports & dashboards using CRM reporting tools. Provide technical support and troubleshooting for CRM related issues or tickets raised by business Collaborate with Onshore team to ensure successful delivery of CRM projects Ensure CRM solutions comply with regulatory requirements and industry standards. Implement security best practices to protect sensitive data Skills MS Dynamics 365 Developer Java Script Power Pages Power BI / Power APPs Agile

Job Title: Network Engineer (Data Routing & Switching) Key Responsibilities As a Network DATA Routing & Switching Engineer, you will: Network Design & Implementation: Design and implement end-to-end network infrastructure, including LAN, WAN, and Data Center (DC) products. Requirements & Standards: Gather and document business requirements, understand existing network standards, and provide solutions aligned with, or updating, organizational standards. Integration & Coordination: Coordinate with other product teams to ensure seamless integration across all platforms. Governance & Compliance: Adhere to enterprise governance and review processes for project delivery. Follow enterprise ITSM and CMDB processes. Ensure compliance with security regulations and assist in audit processes. Documentation: Update standard documents, including Requirements Analysis (RA), High-Level Design (HLD), and Low-Level Design (LLD) for all network-related solutions. Automation & Monitoring: Develop, monitor, and automate frameworks for all LAN, WAN, and DC products. Incident Response: Respond to network incidents in a timely and effective manner. Continuous Improvement: Stay abreast of the latest industry trends and best practices to proactively enhance the organization's network. Mandatory Skills & Experience Technical Proficiency: Proven experience in network routing and switching , with a strong understanding of fundamentals. Expertise in multiple network vendor technologies and network design principles . Proficiency in configuring, managing, and troubleshooting network devices and infrastructure. SME-level skills in LAN, WAN, and DC technology . Experience in developing, designing, and deploying network LAN, WAN, and DC products . Experience with developing, monitoring, and automating frameworks for network products. Experience & Qualifications: Demonstrated ability to gather and document business requirements. Experience in adhering to enterprise governance, review processes, ITSM, and CMDB. Proven ability to update standard network documentation (RA, HLD, LLD). Experience with ensuring compliance with security regulations and assisting in audit processes. Essential Professional Skills Excellent problem-solving skills . Strong analytical thinking . Ability to communicate effectively with diverse stakeholders . Ability to respond to incidents in a timely and effective manner . Proactive approach to enhancing network infrastructure based on industry trends.

Collaborate cross-functionally with Product, UX/Design, Engineering, and QA teams in an Agile environment to deliver critical projects. Manage bug life cycle including defect tracking, reporting, analysis, and verification. Develop detailed Test Plans, Test Scenarios, and Test Cases based on requirements; use Jira for managing the testing process. Review business and technical design documents to identify gaps and key testing areas. Provide testing support for Mobile applications (Web, Windows, Database) including test strategy definition, planning, and execution of unit, system, integration, and regression tests. Troubleshoot mobile devices (Android and iOS) to support testing activities. Respond promptly to issues reported through email, phone, or internal channels. Create and maintain SOPs and knowledge base documentation. Perform manual testing to validate application functionality and user experience.

We are seeking a skilled Data Engineer to join our dynamic team in India. The ideal candidate will have experience in building and managing data pipelines, ensuring data quality, and optimizing our data infrastructure to support analytics and business intelligence initiatives. Responsibilities Design, construct, install, and maintain large-scale processing systems and data pipelines. Develop and optimize ETL processes to ensure smooth data integration and transformation. Collaborate with data scientists and analysts to understand data requirements and deliver solutions that meet their needs. Implement data quality checks and ensure data integrity throughout the data lifecycle. Monitor performance and troubleshoot data-related issues, enhancing system efficiency and reliability. Skills and Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 2-4 years of experience in data engineering or a similar role. Proficiency in programming languages such as Python, Java, or Scala. Strong knowledge of SQL and experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB). Experience with big data technologies such as Hadoop, Spark, or Kafka. Familiarity with cloud platforms like AWS, Azure, or Google Cloud for data storage and processing. Understanding of data modeling concepts and data warehousing principles. Ability to work collaboratively in a team environment and communicate effectively with stakeholders.

Experience: 57 years Executes software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Technical Skills Required Expertise in development using Core Java, J2EE, XML, Web Services , and Java frameworks Spring, Spring Batch, Spring Boot, JPA, REST, MQ Knowledgeable in developing RESTful microservices with technical stack: Amazon ECS, EC2, S3, API Gateway, Amazon Aurora, ALB, Route 53 Extensive knowledge and implementation experience Experience working with GIT/Bitbucket, Maven, Gradle, Jenkins for building and deploying code to production environments Hands-on experience in CI/CD pipelines Hands-on experience in Kubernetes Qualification Same as job description above with emphasis on solid experience in backend development, AWS cloud services, microservices architecture, and CI/CD tools.

Drive the end to end solution architecture of MDM solutions including data model definition and refinement data quality assessment and remediation design data migration strategy data stewardship process and system interaction design Understand the technical landscape current as well as desired future state Assess the current state architecture understand current business processes for managing Master Data Management solutions Provide subject matter expertise on data architecture and data integration implementations across various downstream system Extensive hands on experience in configurations of core Informatica MDM Hub components such as Hub console Hub Store Hub Server Cleanse Match Server and Cleanse Adaptor Ability to deliver full lifecycle MDM projects for clients including Data modeling Metadata management design and configuration of matching and merging rules design and configuration of standardizing cleansing and deduplication rules Ability to design E360 UI with Business Entity framework Ability to fine tune and optimize MDM Hub performance Hands on experience with ActiveVOS Informatica MDM Service Integration Framework SIF and Informatica Business Entity Services BES Will also be involved in integration transfer of data across multiple systems streamlining data processes and providing access to MDM data across the enterprise Create Design Document and data models addressing business needs for the MDM environment Contribute to creating reusable assets and accelerators for MDM platforms Coordinate with Project Managers and participate in project planning and recurring meet Development efficient highly tuned data cleansing routines Should be able to use all IDQ transformations including Address Doctors Understands IDQ architecture and performance techniques with industry standard coding practices Should be able to works with exposing data quality rules as webservices and consumed data from third party rest APIs Should be able to work with managed and unmanaged reference table Understands the code deployment & knows to automate it Informatica Analyst Used by Business Data analyst data stewards to profile data define rule specification and manage business glossary Build profile on heterogenous data sources Basic profiling join data profiling Build scorecards Build reference tables Build mapping and rule specifications Build and manage Reference data though reference tables Develop efficient highly tuned data transformation mappings Build execute schedule mapping tasks and task flows Performance tuning through lookup and other coding best practices Rest API consumptions

Job Title: Tech Lead - Python UI GCP Experience Level 8+ years experience Key Responsibilities As a Lead Software Engineer (Tech Lead - Python UI GCP), you will: Full-Stack Development Leadership: Be responsible for the design, development, and maintenance of the entire project, encompassing frontend (Angular), API, and backend (Python), including any necessary tools. Technical Design & Standards: Develop technical standards, define criteria for deliverables, and establish test strategies. Client & Stakeholder Management: Handle client calls and presentations as needed, demonstrating very good communication skills. Collaborate effectively with engineering teams and business stakeholders to ensure alignment. Metrics & Optimization: Work with teams and leadership to develop meaningful metrics for project success and continuous improvement. Mentorship: Mentor junior developers, guiding their technical growth and contribution. Problem Solving: Apply excellent analytical, problem-solving, troubleshooting, and decision-making skills to address complex technical challenges. Collaboration: Work collaboratively with teams and leadership, adapting to a co-location model with developers for offline sessions with technical consultants. Mandatory Skills & Experience Technical Proficiency: Python: 8+ years experience with hands-on knowledge of core Python . Frontend Development: Experience with Angular for frontend development. Cloud Platform: Experience with GCP (Google Cloud Platform) and other cloud technologies. Operating Systems: Experience with Linux/Unix environments . Data Formats: Moderate to focused experience using SQL, JSON, XML . API & Backend Development: Proven experience in designing and developing APIs and backend services. Experience & Qualifications: Demonstrated ability to lead the design, development, and maintenance of full-stack projects. Experience in developing standards and defining criteria for deliverables and test strategies. Proven ability to work with teams and leadership to develop meaningful metrics. Experience in mentoring junior developers. Essential Professional Skills Very good communication skills , including handling client calls and presentations. Excellent analytical, problem-solving, troubleshooting and decision-making skills . Demonstrated ability to work independently and learn new technologies effectively . Strong collaboration skills with engineering teams and business stakeholders.

We are looking for an experienced DevOps Engineer with expertise in Google Cloud Platform GCP to join our engineering team The ideal candidate will be responsible for managing our cloud infrastructure CI CD pipelines and overall deployment processes to ensure system reliability scalability and performance Design implement and manage scalable secure and highly available infrastructure on GCP Build and maintain CI CD pipelines using tools like Cloud Build Jenkins GitLab CI etc Automate infrastructure provisioning and configuration using Terraform Ansible or similar tools Monitor and optimize performance reliability and security of cloud based systems using Stackdriver Prometheus Grafana etc Manage containerized applications using Docker and Kubernetes GKE preferred Collaborate with development and QA teams to streamline build test deploy workflows Implement and maintain robust security and compliance measures including IAM networking and firewalls in GCP Perform cost optimization and governance of GCP resources

Looking for experienced Full Stack engineer who is passionate about application development. Primary responsibilities will include hands-on development of Medidata's software applications with Java, Clojure, Python, R, React/Typescript, and Amazon Web Services. Responsibilities: 8+ years hands on experience in Java , ready to shift gears to Clojure (a must), python as needed Working experience with AWS (cloud watch , Lambdas, Sagemaker, familiar with container orchestration ECS / EKS) . Proficient in React, including both class components and hooks Strong understanding of Redux for state management (actions, reducers, middleware) Experienced with TypeScript in large-scale front-end applications Skilled in building reusable components and managing component lifecycles Familiar with async data flows and handling side effects (e.g., redux-thunk) Comfortable with type-safe patterns and strict typing in UI logic Capable of writing unit and integration tests (Jest, React Testing Library) Knowledgeable in performance optimization and render lifecycle debugging Develop, test, document, deploy and maintain applications in a production environment. Apply good technical practices such as continuous integration, test automation, and Github Pull Request reviews. Apply your experience with enterprise design patterns and principles, and distributed system architecture to implement product features. Work with Agile team members, collaborating with testers to ensure quality and with product managers to turn great ideas into detailed requirements. Promote and ensure the high quality, performance, security of our solutions. Promote and implement DevOps, CI/CD and automation strategies.

We are seeking a highly skilled Senior Data Engineer with strong experience in cloud-based data engineering and AI solutions. The ideal candidate will bring a combination of software engineering, big data processing, and cloud infrastructure expertise. This role requires hands-on experience in building data pipelines on AWS or Azure , with a strong emphasis on Databricks , Spark , and Python . You will work within Agile teams , contributing to the design, development, and deployment of scalable, high-performance data solutions. A passion for quality, testing, and continuous learning is key to success in this role. Required Qualifications Bachelor's degree or equivalent in Computer Science , Computer Engineering , or a related field. 7+ years of experience in data or software engineering roles. 3+ years of experience building cloud-based data pipelines and AI/ML data solutions on AWS or Azure . 3+ years of hands-on experience with Python and Apache Spark . Deep experience with Databricks , including: Spark-based processing Building and managing scalable data pipelines Use of Databricks notebooks and platform tools for analytics and machine learning Key Responsibilities Design, build, and maintain cloud-native data pipelines that support AI/ML models and large-scale analytics workloads. Leverage Databricks and Spark to process structured and unstructured data efficiently. Collaborate with cross-functional teams, including data scientists, product owners, and DevOps engineers, in an Agile environment. Apply testing methodologies and best practices to ensure high-quality, resilient data solutions. Contribute to code reviews , data modeling , and the development of data quality frameworks . Stay current on evolving tools, technologies, and industry trends to continuously improve processes and architecture. Required Skills Strong Python programming and data manipulation skills. Expertise in Apache Spark and large-scale distributed data processing. In-depth experience with Databricks as a development and orchestration environment. Solid understanding of cloud architecture and data services on AWS or Azure . Experience working in Agile teams with modern development and deployment practices. Strong written and verbal communication skills with the ability to convey technical topics clearly. Desirable Skills Databricks certification (Developer or Data Engineer). Experience working within a DevOps delivery model , including CI/CD for data pipelines. Understanding of quality and compliance frameworks , and applying standards in production environments. Prior experience in industries with large, complex data environments , or consulting/vendor roles.

DBT - Designing, developing, and technical architecture, data pipelines, and performance scaling using tools to integrate Talend data and ensure data quality in a big data environment. Very strong on PL/SQL - Queries, Procedures, JOINs. Snowflake SQL - Writing SQL queries against Snowflake and developing scripts in Unix, Python, etc., to perform Extract, Load, and Transform operations. Good to have Talend knowledge and hands-on experience. Candidates who have worked in PROD support would be preferred. Hands-on experience with Snowflake utilities such as SnowSQL, SnowPipe, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures. Perform data analysis, troubleshoot data issues, and provide technical support to end-users. Develop and maintain data warehouse and ETL processes, ensuring data quality and integrity. Complex problem-solving capability and continuous improvement approach. Desirable to have Talend / Snowflake Certification. Excellent SQL coding skills, excellent communication, and documentation skills. Familiar with Agile delivery process. Must be analytical, creative, and self-motivated. Work effectively within a global team environment. Excellent communication skills.