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Global digital transformation solutions provider.
JOB DETAILS:
* Job Title: Lead II - Software Engineering - AWS, Apache Spark (PySpark/Scala), Apache Kafka
* Industry: Global digital transformation solutions provider
* Salary: Best in Industry
* Experience: 5-8 years
* Location: Hyderabad
Job Summary
We are seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms. The role involves working with large-scale batch and real-time data processing systems, collaborating with cross-functional teams, and ensuring data reliability, security, and performance across the data lifecycle.
Key Responsibilities
ETL Pipeline Development & Optimization
- Design, develop, and maintain complex end-to-end ETL pipelines for large-scale data ingestion and processing.
- Optimize data pipelines for performance, scalability, fault tolerance, and reliability.
Big Data Processing
- Develop and optimize batch and real-time data processing solutions using Apache Spark (PySpark/Scala) and Apache Kafka.
- Ensure fault-tolerant, scalable, and high-performance data processing systems.
Cloud Infrastructure Development
- Build and manage scalable, cloud-native data infrastructure on AWS.
- Design resilient and cost-efficient data pipelines adaptable to varying data volume and formats.
Real-Time & Batch Data Integration
- Enable seamless ingestion and processing of real-time streaming and batch data sources (e.g., AWS MSK).
- Ensure consistency, data quality, and a unified view across multiple data sources and formats.
Data Analysis & Insights
- Partner with business teams and data scientists to understand data requirements.
- Perform in-depth data analysis to identify trends, patterns, and anomalies.
- Deliver high-quality datasets and present actionable insights to stakeholders.
CI/CD & Automation
- Implement and maintain CI/CD pipelines using Jenkins or similar tools.
- Automate testing, deployment, and monitoring to ensure smooth production releases.
Data Security & Compliance
- Collaborate with security teams to ensure compliance with organizational and regulatory standards (e.g., GDPR, HIPAA).
- Implement data governance practices ensuring data integrity, security, and traceability.
Troubleshooting & Performance Tuning
- Identify and resolve performance bottlenecks in data pipelines.
- Apply best practices for monitoring, tuning, and optimizing data ingestion and storage.
Collaboration & Cross-Functional Work
- Work closely with engineers, data scientists, product managers, and business stakeholders.
- Participate in agile ceremonies, sprint planning, and architectural discussions.
Skills & Qualifications
Mandatory (Must-Have) Skills
- AWS Expertise
- Hands-on experience with AWS Big Data services such as EMR, Managed Apache Airflow, Glue, S3, DMS, MSK, and EC2.
- Strong understanding of cloud-native data architectures.
- Big Data Technologies
- Proficiency in PySpark or Scala Spark and SQL for large-scale data transformation and analysis.
- Experience with Apache Spark and Apache Kafka in production environments.
- Data Frameworks
- Strong knowledge of Spark DataFrames and Datasets.
- ETL Pipeline Development
- Proven experience in building scalable and reliable ETL pipelines for both batch and real-time data processing.
- Database Modeling & Data Warehousing
- Expertise in designing scalable data models for OLAP and OLTP systems.
- Data Analysis & Insights
- Ability to perform complex data analysis and extract actionable business insights.
- Strong analytical and problem-solving skills with a data-driven mindset.
- CI/CD & Automation
- Basic to intermediate experience with CI/CD pipelines using Jenkins or similar tools.
- Familiarity with automated testing and deployment workflows.
Good-to-Have (Preferred) Skills
- Knowledge of Java for data processing applications.
- Experience with NoSQL databases (e.g., DynamoDB, Cassandra, MongoDB).
- Familiarity with data governance frameworks and compliance tooling.
- Experience with monitoring and observability tools such as AWS CloudWatch, Splunk, or Dynatrace.
- Exposure to cost optimization strategies for large-scale cloud data platforms.
Skills: big data, scala spark, apache spark, ETL pipeline development
******
Notice period - 0 to 15 days only
Job stability is mandatory
Location: Hyderabad
Note: If a candidate is a short joiner, based in Hyderabad, and fits within the approved budget, we will proceed with an offer
F2F Interview: 14th Feb 2026
3 days in office, Hybrid model.
Supercharge Your Career as a AI DevOps Engineer at Technoidentity!
At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.
What’s in it for You?
We are looking for an AI DevOps Engineer with 0–3 years of experience who is passionate about AI, Cloud, DevOps, and Automation. The role involves building, deploying, and managing AI-powered applications, LLM solutions, and cloud-native platforms while ensuring reliability, scalability, security, and observability.
What Will You Be Doing?
- Develop and deploy AI/ML and Generative AI solutions using Python.
- Build applications leveraging LLMs, RAG, and AI agents.
- Create and maintain CI/CD pipelines for AI applications.
- Deploy and manage workloads using Docker and Kubernetes.
- Support cloud platforms (AWS, Azure, or GCP).
- Implement Infrastructure as Code (Terraform) and automation workflows.
- Monitor applications using observability tools such as Prometheus, Grafana, and logging platforms.
- Collaborate with engineering teams to ensure system reliability, performance, and security.
- Contribute to MLOps practices, AI accelerators, and reusable frameworks.
Requirements
What Makes You the Perfect Fit?
- Python programming (mandatory)
- Understanding of Machine Learning, LLMs, Prompt Engineering, and RAG
- Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face
- Docker, Kubernetes, Git, and CI/CD tools
- AWS, Azure, or GCP
- PostgreSQL; MongoDB and Vector Databases are a plus
- Basic knowledge of MLOps, Terraform, and workflow orchestration tools (Airflow/Temporal)
- Familiarity with observability and monitoring tools
Qualifications
- Bachelor's degree in Computer Science, AI, Data Science, IT, or related field
- 0–3 years of experience in AI/ML, Software Engineering, Cloud, DevOps, or related areas
Nice to Have
- Experience with Agentic AI frameworks
- Knowledge of MLOps and AI platform operations
- Exposure to enterprise-grade monitoring, reliability engineering, and security best practices
Job Summary
We are seeking a skilled Mainframe Developer with strong experience in COBOL, JCL, DB2, and VSAM. The ideal candidate will be responsible for developing, enhancing, maintaining, and supporting enterprise mainframe applications while ensuring high performance, reliability, and quality.
Key Responsibilities
- Develop, maintain, and enhance mainframe applications using COBOL.
- Create and modify JCL for batch processing and job scheduling.
- Design, develop, and optimize DB2 databases, SQL queries, and stored procedures.
- Work with VSAM datasets, including KSDS, ESDS, and RRDS.
- Analyze business requirements and translate them into technical solutions.
- Perform unit testing, integration testing, and support user acceptance testing (UAT).
- Troubleshoot production issues and provide timely resolutions.
- Participate in code reviews and ensure adherence to coding standards.
- Collaborate with business analysts, testers, and cross-functional teams.
- Prepare technical documentation and maintain application support documentation.
Required Skills
- Strong programming experience in COBOL.
- Good knowledge of JCL and batch processing.
- Hands-on experience with DB2, SQL, and database performance tuning.
- Experience with VSAM file structures and file handling.
- Knowledge of CICS and IBM z/OS is an advantage.
- Familiarity with source control and change management tools such as Endevor or Changeman.
- Strong analytical and problem-solving skills.
- Good verbal and written communication skills.
Strong Senior Data Scientist (AI/ML/GenAI) Profile
Mandatory (Experience 1) – Must have a minimum of 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
Mandatory (Experience 2) – Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
Mandatory (Experience 3) – Must have 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
Mandatory (Experience 4) – Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows
mandatory (Note): Budget for upto 5 yoe is 25Lacs, Upto 7 years is 35 lacs and upto 12 years is 45 lacs, Also client can pay max 30-40% based on candidature
About the company
KPMG International Limited, commonly known as KPMG, is one of the largest professional services networks in the world, recognized as one of the "Big Four" accounting firms alongside Deloitte, PricewaterhouseCoopers (PwC), and Ernst & Young (EY). KPMG provides a comprehensive range of professional services primarily focused on three core areas: Audit and Assurance, Tax Services, and Advisory Services. Their Audit and Assurance services include financial statement audits, regulatory audits, and other assurance services. The Tax Services cover various aspects such as corporate tax, indirect tax, international tax, and transfer pricing. Meanwhile, their Advisory Services encompass management consulting, risk consulting, deal advisory, and other related services.
Form link for quicker response: https://forms.gle/wMwDjBVREW3w1kU46
Job Description
Education Qualification: Bachelor's degree in HR, business administration, or another related field
Experience: 4-6 years
Location: Pan India with potential requirement to travel to the middle east
Employment Type: contract for 6-12 months (Hybrid)
Responsibilities:
HR :
- Recruitment & Onboarding: Manage the hiring process, including posting jobs, screening candidates, conducting interviews, and onboarding new employees.
- Employee Relations: Address employee concerns, resolve conflicts, and promote a positive work environment.
- Training & Development: Organize training programs to enhance employee skills and ensure compliance with industry regulations.
- Performance Management: Implement performance appraisal systems, set employee goals, and provide feedback.
- HR Policies: Develop and enforce company policies related to working conditions, employee benefits, and code of conduct.
Payroll :
- Salary Processing: Calculate and process employee salaries, including deductions, bonuses, and allowances, ensuring timely payment.
- Compliance: Ensure payroll practices comply with local labor laws and tax regulations.
- Record Maintenance: Maintain accurate payroll records, including timesheets, leave balances, and employee benefits.
- Tax & Social Security: Deduct and submit employee taxes and social security contributions as required by law.
Dear,
I hope you’re doing well! We are currently hiring for an Automation QA Engineer (API Automation) role at Xebia, and based on your experience, we believe you could be a great fit. Please find the job details below:
Job Details:
⏰ Shift: 2 PM – 11 PM
🏢 Work Mode: Hybrid (3 days a week) across Xebia locations
📆 Notice Period: Immediate joiners or up to 30 days
Job Description:
We are looking for an Automation QA Engineer with 5+ years of test automation experience, specifically in API automation.
Must-Have Skills:
✅ Hands-on experience with REST API testing
✅ Strong knowledge of Java, Rest Assured, and Cucumber
✅ Experience working in an Agile software development environment
✅ Hands-on experience with SQL
Nice-to-Have Skills:
➕ Experience with Selenium and Appium for web & mobile automation
➕ Hands-on experience automating both iOS and Android native applications
If you meet the above criteria and are interested, kindly share your updated CV along with the following details:
🔹 Total Experience:
🔹 Current CTC:
🔹 Expected CTC:
🔹 Current Location:
🔹 Preferred Location:
🔹 Notice Period / Last Working Day (if serving notice):
⚠️ Kindly share your details only if you have not applied recently or are not currently in the interview process for any open roles at Xebia.
Looking forward to your response! Feel free to reach out if you have any questions.
Best regards,
Vijay S
Assistant Manager - TAG
https://www.linkedin.com/in/vijay-selvarajan/
Analysis/audits inbound/outbound calls, emails, and customer surveys to identify areas of service delivery that did not meet pre-established performance standards within the CS support /Sales teams
Provides structured and timely recommendations; verbal and/or written feedback to the advisors.
We are hiring a Technical Business Analyst who wants to advance their knowledge and experience in Privacy & Security. The ideal candidate will have interest and experience in data privacy and application & data security. We will be providing training resources to ramp up on privacy & security, but candidates with technical background, and interest in privacy & security are preferred.
As the successful candidate, you will be required to:
- Gathering and documenting needs and use of data from internal and external stakeholders, including privacy requirements based on laws & regulations, document security best practices and requirements.
- Research, analyze, and document business requirements. Prepare high quality analysis such as summarizing security best practices, privacy laws, business requirements specifications, functional and technical specifications, traceability matrices, etc.
- Create user stories based on functional requirements gathered from business teams.
- Work with developers and support teams to resolve defects and environment issues
- Creating data and process workflows.
- Good communication and problem-solving skills.
- Engage and work closely with development team and stakeholders, including attending scrum meetings.
To be eligible for this role, you should possess the following:
- Bachelor’s or Engineering Degree in Computer Science or a related field.
- 4+ years of relevant experience as a Business Analyst.
- 2+ years of experience using JIRA and Confluence.
- Should have good communication and presentation skills with the ability to adapt to a range of audiences
- Must be self-driven, self-motivated with good soft skills.
- Must have good software engineering skills, thorough knowledge of SDLC, STLC.
- Excellent organizational and time management skills
- Quick learner and attention to detail
- Portray strong analytical and problem-solving skills and the ability to work within a collaborative team environment; Ability to multi-task and manage multiple projects
- Open for new challenges and learning and flexible to work and support the team as per the business need
- Understand and analyze Business, Functional, and technical requirements of the project
- Knowledge in using any of the bug tracking tool like Bugzilla/Jira
About the Job
Titaniam’s software engineers develop the next-generation technologies that protect big data. Our products need to handle information at a massive scale. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing as well as large-scale system design. As a software engineer, you will work on projects critical to the company needs with opportunities to switch 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.
Responsibilities
- Work closely with software engineers, product managers, and sales teams to bring innovative solutions to market.
- Communicate and negotiate across teams to get buy-in and alignment towards a shared vision.
- Apply technical judgement and identify return-on-investment opportunities.
- Learn new technologies and apply them appropriately for bringing value to customers.
Minimum qualifications
- Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.
- Experience in architecting and developing distributed systems design.
- Experience in technical leadership, leading project teams, and setting technical direction.
- Proven record of test driven development.
- Experience with Java, Spring Framework or similar technologies.
Preferred qualifications
- Experience in driving technical projects and providing leadership in an innovative and fast-paced environment
- Experience in working with other engineering teams internally and externally, and across geographies.
- Experience building web applications for 5+ years.
1. Strong fundamentals OOPS concepts, Exception Handling, Coding Standards, Logging
2. Creating custom, general use modules and components which extend the elements and modules of core Angular.
3. Creating configuration, build, and test scripts for Continuous Integration environments
4. Communicating with external web services and processing data
5. Experience with offline storage threading and performance tuning
6. Review code and maintain the code quality and suggest best practices
7. Knowledge and experience on data science and programming languages
8. Demonstrable abilities to optimize code. Strong analytical skills for effective problem solving





