11+ HANA Jobs in Coimbatore | HANA Job openings in Coimbatore

1. SAP SD(Sales and Distribution) - HANA Sales of S/4 HANA

2. O2C(Order To Cash ) business process expertise,

3. SAP SD Implementation/Support/Development project expertise.

4. Exposure to SAP SD configurations (O2C processes, Pricing Procedure, Revenue account determination, Credit Management, Rebate Processing, Batch Management, Consignment, Stock transport orders)

5. S/4 Migration/Implementation/AMS experience

Job Details

- Job Title: DevOps and SRE -Technical Project Manager

- Industry: Global digital transformation solutions provider

- Domain - Information technology (IT)

- Experience Required: 12-15 years

- Employment Type: Full Time

- Job Location: Bangalore, Chennai, Coimbatore, Hosur & Hyderabad

- CTC Range: Best in Industry

Job Description

Company’s DevOps Practice is seeking a highly skilled DevOps and SRE Technical Project Manager to lead large-scale transformation programs for enterprise customers. The ideal candidate will bring deep expertise in DevOps and Site Reliability Engineering (SRE), combined with strong program management, stakeholder leadership, and the ability to drive end-to-end execution of complex initiatives.

Key Responsibilities

• Lead the planning, execution, and successful delivery of DevOps and SRE transformation programs for enterprise clients, including full oversight of project budgets, financials, and margins.
• Partner with senior stakeholders to define program objectives, roadmaps, milestones, and success metrics aligned with business and technology goals.
• Develop and implement actionable strategies to optimize development, deployment, release management, observability, and operational workflows across client environments.
• Provide technical leadership and strategic guidance to cross-functional engineering teams, ensuring alignment with industry standards, best practices, and company delivery methodologies.
• Identify risks, dependencies, and blockers across programs, and proactively implement mitigation and contingency plans.
• Monitor program performance, KPIs, and financial health; drive corrective actions and margin optimization where necessary.
• Facilitate strong communication, collaboration, and transparency across engineering, product, architecture, and leadership teams.
• Deliver periodic program updates to internal and client stakeholders, highlighting progress, risks, challenges, and improvement opportunities.
• Champion a culture of continuous improvement, operational excellence, and innovation by encouraging adoption of emerging DevOps, SRE, automation, and cloud-native practices.
• Support GitHub migration initiatives, including planning, execution, troubleshooting, and governance setup for repository and workflow migrations.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related technical discipline.
• 15+ years of IT experience, including at least 5 years in a managerial or program leadership role.
• Proven experience leading large-scale DevOps and SRE transformation programs with measurable business impact.
• Strong program management expertise, including planning, execution oversight, risk management, and financial governance.
• Solid understanding of Agile methodologies (Scrum, Kanban) and modern software development practices.
• Deep hands-on knowledge of DevOps principles, CI/CD pipelines, automation frameworks, Infrastructure as Code (IaC), and cloud-native tooling.
• Familiarity with SRE practices such as service reliability, observability, SLIs/SLOs, incident management, and performance optimization.
• Experience with GitHub migration projects—including repository analysis, migration planning, tooling adoption, and workflow modernization.
• Excellent communication, stakeholder management, and interpersonal skills with the ability to influence and lead cross-functional teams.
• Strong analytical, organizational, and problem-solving skills with a results-oriented mindset.
• Preferred certifications: PMP, PgMP, ITIL, Agile/Scrum Master, or relevant technical certifications.

Skills: Devops Tools, Cloud Infrastructure, Team Management

Must-Haves

DevOps principles (5+ years), SRE practices (5+ years), GitHub migration (3+ years), CI/CD pipelines (5+ years), Agile methodologies (5+ years)

Notice period - 0 to 15days only 

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

The candidate should have extensive experience in designing and developing scalable data pipelines and real-time data processing solutions. As a key member of the team, the Senior Data Engineer will play a critical role in building end-to-end data workflows, supporting machine learning model deployment, and driving MLOps practices in a fast-paced, agile environment. Strong expertise in Apache Kafka, Apache Flink, AWS SageMaker, and Terraform is essential. Additional experience with infrastructure automation and CI/CD for ML models is a significant advantage.

Key Responsibilities

1. Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
2. Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
3. Implement and manage Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.
4. Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
5. Optimize data storage and retrieval strategies for large-scale structured and unstructured datasets.
6. Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
7. Monitor, troubleshoot, and enhance performance of data systems in a cloud-native, fast-evolving production setup.
8. Ensure adherence to data governance, privacy, and security standards across all data handling activities.
9. Document data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.

A Design Engineer is responsible for developing, designing, and improving products, components, or systems based on technical requirements and customer needs. The role involves creating detailed engineering drawings, 3D models, and specifications using CAD software, while ensuring designs meet quality, safety, and performance standards.

Design Engineers collaborate closely with cross-functional teams including manufacturing, quality, procurement, and project management to ensure designs are practical, cost-effective, and manufacturable. They analyze design feasibility, conduct simulations and testing, and modify designs based on results and feedback.

The role also includes material selection, tolerance analysis, and documentation preparation. Design Engineers support prototype development, troubleshoot design issues, and assist in transitioning designs from concept to production. Continuous improvement, innovation, and compliance with industry standards are key aspects of the role.

Key Skills: CAD tools (AutoCAD, SolidWorks, CATIA), problem-solving, technical documentation, analytical thinking, teamwork.

Qualifications: Bachelor’s degree in Mechanical, Electrical, or related Engineering discipline.

Role Overview:

We are seeking a Senior Consultant with deep expertise in storage and backup infrastructure, data migration strategies, and enterprise IT consulting. This individual will lead customer engagements, build methodologies, and deliver value through the ZENfra platform.

Experience in product implementation and customer support management is a strong plus, enabling this role to bridge consulting with hands-on delivery and post-deployment success.

Key Responsibilities:

Consulting & Strategy:

Engage with enterprise customers to understand their infrastructure, pain points, and transformation goals.

Design and recommend migration strategies and modernization roadmaps for storage and backup environments.

Develop reusable methodologies and frameworks tailored to customer needs.

ZENfra Enablement:

Translate customer requirements into actionable insights using the ZENfra platform.

Build and deliver ZENpacks (customized solution bundles) including reports, dashboards, and automation scripts.

Collaborate with ZENfra product and engineering teams to enhance platform capabilities based on field feedback.

Product Implementation & Support:

Lead or support ZENfra platform deployments across customer environments.

Ensure smooth onboarding, configuration, and integration of ZENfra components.

Manage customer support escalations, ensuring timely resolution and customer satisfaction.

Provide feedback to product teams to improve usability and performance.

Leadership & Delivery:

Lead and mentor a team of consultants and engineers across multiple customer engagements.

Prioritize tasks and manage delivery timelines while maintaining high customer satisfaction.

Ensure quality and consistency in deliverables across projects.

Customer Success:

Act as a trusted advisor to customers, helping them derive maximum value from VTG and ZENfra offerings.

Conduct workshops, training sessions, and executive briefings as needed.

Required Skills & Experience:

• 10+ years of experience in IT consulting with a focus on storage, backup, and data protection technologies.
• Proven experience in data centre migrations, cloud transitions, and infrastructure assessments.
• Strong leadership experience managing cross-functional teams and customer engagements.
• Hands-on experience with product implementation and customer support management.
• Excellent communication and stakeholder management skills.
• Familiarity with tools like ZENfra, ZENfra Ignite, or similar platforms is a strong plus.
• Ability to create structured reports, methodologies, and reusable assets.
• Experience working with global customers and managing multiple priorities.

Preferred Qualifications:

Certifications in storage technologies (e.g., NetApp, Dell EMC, Veritas, Commvault).

Exposure to cloud platforms (AWS, Azure, GCP) and hybrid infrastructure.

Experience with automation and scripting (Python, PowerShell) is a plus.

To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.

Responsibilities   

• Understand the high-level product roadmap for the squad and immediate features to be developed, contributing to high-level estimation and lay-out of the development sequences. Complete complex development tasks with minimal guidance  
• Constantly and actively contribute to pushing code to production with the objective of becoming a main contributor. Write testable, efficient, and reusable code suitable for continuous integration and deployment, that respects best practices and industry development standards 
• Review Unified Modeling Language (UML) diagrams and technical documentation, ensuring its quality. Enable best practices to help the team achieve their technical tasks and continually thrive in improving the technology of the product/team.  
• Drive the adoption of best practices & regular participation in code reviews, design reviews, architecture discussions 
• Experiment with new and relevant technologies, and tools, and drive innovation & adoption while measuring yourself on the impact you can create. 
• Implementation of long-term technology vision for your team. Responsible for the complete architecture of your product. 
• Creating architecture & designs for new solutions around existing/new areas u Decide technology & tool choices for your team & be responsible for them. 
• Be accountable for code quality with the assistance of a QA Analyst to conduct adequate testing. 
• Review and contribute to technical documentation. Contribute actively to the design of the solution, challenging other members on technical decisions. 

Skills 

• Working with other TypeScript developers and software engineers to develop Front-end and back-end architecture that’s well-structured and flexible, along with the APIs to support it. 
• Developing and implementing Back-end architecture to support user interface concepts. 
• Developing and implementing highly responsive user interface components using Node concepts. 
• Create data visualization tools, libraries, and reusable code for prospects. 
• In-depth knowledge of TypeScript, CSS, HTML, and back-end languages. 
• Knowledge of Backend service like AWS Services, Microservice, Serverless software. 

Qualifications  

• Bachelor's degree in computer science, computer engineering, or related field. 
• Proficiency with TypeScript, CSS, HTML, and Back-end languages. 
• 7+ years’ experience in Node JS, Typescript, NoSQL, RDBMS, AWS Services 
• The ability to learn new technologies quickly 
• The ability to communicate complex procedures to other colleagues.