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Global Digital Transformation Solutions Provider
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.
Strong SAP EWM Functional Consultant Profile
Mandatory (Experience 1) – Must have 6+ years of strong hands-on experience in SAP EWM (Extended Warehouse Management).
Mandatory (Experience 2) – Must have completed at least 2 end-to-end SAP EWM implementations and minimum 1 rollout project (full lifecycle exposure – Requirement Gathering to Go-Live & Hypercare).
Mandatory (Experience 3) – Strong hands-on experience in Inbound and Outbound warehouse processes, including Goods Receipt, Putaway, Picking, Packing, Staging, and Goods Issue.
Mandatory (Experience 4) – Must have strong process knowledge in O2C (Order-to-Cash), Supply Chain Management, and Warehouse Execution processes.
Mandatory (Experience 5) – Must have hands-on experience in Decentralized EWM and SAP S/4HANA Embedded EWM (Cloud-oriented landscape preferred).
Mandatory (Experience 6) – Strong integration knowledge with SAP SD (Sales & Distribution – Outbound processes) and SAP TM (Transportation Management).
Mandatory (Domain Exposure) – Candidates must have worked in Manufacturing or Supply Chain-driven environments; Automotive industry experience preferred
Pay: ₹70,000.00 - ₹90,000.00 per month
Job description:
Name of the College: KGiSL Institute of Technology
College Profile: The main objective of KGiSL Institute of Technology is to provide industry embedded education and to mold the students for leadership in industry, government, and educational institutions; to advance the knowledge base of the engineering professions; and to influence the future directions of engineering education and practice. The ability to connect to the future challenges and deliver industry-ready human resources is a credibility that KGISL Educational Institutions have progressively excelled at. Industry -readiness of its students is what will eventually elevate an institution to star status and its competitiveness in the job market. Choice of such an institution will depend on its proximity to industry, the relevance of its learning programme to real-time industry and the active connect that a student will have with industry professionals.
Job Title: Assistant Professor / Associate Professor
Departments:
● CSE
Qualification:
● ME/M.Tech/Ph.D(Ph.D must for Associate Professor)
Experience:
● Experience - 9-10 Years
Key Responsibilities:
1. Teaching & Learning:
Deliver high-quality lectures and laboratory sessions in core and advanced areas of Computer Science & Engineering.
Prepare lesson plans, teaching materials, and assessment tools as per the approved curriculum.
Adopt innovative teaching methodologies, including ICT-enabled learning and outcome-based education (OBE).
2. Research & Publications:
Conduct independent and collaborative research in areas of specialization.
Publish research papers in peer-reviewed journals and present in reputed conferences.
Eligibility & Qualifications (As per AICTE/UGC Norms):
Educational Qualification: Ph.D. in Computer Science & Engineering or relevant discipline.
Experience: Minimum of 9 years teaching/research/industry experience, with at least 3 years at the level of Assistant Professor.
Research: Minimum of 7 publications in refereed journals as per UGC-CARE list and at least one Ph.D. degree awarded or ongoing under supervision.
Other Requirements:
- Good academic record throughout.
- Proven ability to attract research funding.
- Strong communication and interpersonal skills.
- Work Location: [ KGiSL Campus]
- Employment Type: Full-time / Permanent
- Joining time: immediately
Job Type: Full-time
Benefits:
- Health insurance
- Life insurance
- Provident Fund
Work Location: In person
Responsible for completing the UK Year End accounts as per the timeline with zero errors as per the tasks allocated by client manager or dot manager.
Prompt communication for all the queries pertaining to the job and resolving the queries.
Ensure client and dot managers are informed about leave absence in advance and the work at hand is completed.
To timely fill timesheet and utilise the time to complete the jobs effectively.
Sending an updated work email to client manager and dot manager respectively.
Knowledge of Preparing UK Year-End working paper.
Posting of bank transactions into the bookkeeping software’s such as- Payments, Receipts, Deposits Bank Fees, etc. and reconciling Bank Accounts.
Detailed knowledge of filling Vat returns with HMRC.
Exporting Reports on Excel Spreadsheet and PDF generated from the Software.
Knowledge of running the UK payroll is an advantage but not essential. Feedback and resolve any issues or conflicts.
SKILLS: SAP ABAP,ABAP,SAP OO ABAP.
Location: Chennai, Bhubaneswar ,Coimbatore
Experience : 3 - 7 years
Primary Skills /Must Have Skills:
- SAP WRICEF expertise
- SAP OO ABAP expertise
- Good knowledge of integration with at least 2 SAP modules(FI, SD, MM, PP, QM, CS,PS)
- Experience in Debugging, Analyzing and enhancing standard objects.
- Adobe / Smart Forms
- Good knowledge of at least two
- SAP Activate Methodology
2. SAP Release Management
3. ASAP Methodology
4. SAP DevOps
5. ITSM Tool(ServiceNow/Remedy)
- Developing and maintaining all server-side network components.
- Ensuring optimal performance of the central database and responsiveness to front-end requests.
- Collaborating with front-end developers on the integration of elements.
- Designing customer-facing UI and back-end services for various business processes.
- Developing high-performance applications by writing testable, reusable, and efficient code.
- Implementing effective security protocols, data protection measures, and storage solutions.
- Running diagnostic tests, repairing defects, and providing technical support.
- Documenting Node.js processes, including database schemas, as well as preparing reports.
- Recommending and implementing improvements to processes and technologies.
- Keeping informed of advancements in the field of Node.js development.
Back End Developer
Qualification : Engineering /Master degree in Computer Science/Electronics/Electrical/Information
Technology Experience : 3- 6 years Skill Sets :
-
The server part of client-server programming
-
Strong database schema skills, querying, joins, triggers, stored procedures
-
Programming languages and frameworks: Javascript and NodeJS languages: PHP, Node,
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Relational databases such as MySql, SQL Server, Postgres, NoSQL database MongoDB
-
REST-compliant APIs
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Big Data processing
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Experience in Agile SCRUM method of development
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Familiar with GIT and Devops tools and technologies
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Spring Boot, JavaScript, MongoDB, Maria DB, Microservice , Devops, Rest API, Postman, AWS, Nginx, Redis, Docker
WHAT WE'RE LOOKING FOR
- Bachelors or masters in software engineering, Computer Science or other relevant disciplines
- 2+ years experience as a Back-End or Full Stack Developer with hands-on experience working with Python web application development
- Strong Knowledge in Python v3.x Language
- Experience in REST APIs with JSON
- Error handling and Logging
- Any DB knowledge
- Knowledge on Sumo Logic log aggregation is a plus
- Must know how to produce high quality, “Clean” code that is performant, maintainable and secure
We are looking for ETL Developer for Reputed Client @ Coimbatore Permanent role
Work Location : Coimbatore
Experience : 4+ Years
Skills ;
- Talend (or)Strong experience in any of the ETL Tools like (Informatica/Datastage/Talend)
- DB preference (Teradata /Oracle /Sql server )
- Supporting Tools (JIRA/SVN)
We are looking for 4+ years of experience as a Cloud Engineer or Administrator able to demonstrate in-depth knowledge of the cloud computing market, enterprise, and open-source technologies.
- Azure AZ-104 Certified Azure Administrator, AWS Certification or GCP Professional Certification required
Advanced scripting (Bash, PowerShell, Python) .E
experience in automation, configuration, etc. Ideally has experience with Puppet, Chef, Ansible, or equivalent.
Container technologies (Kubernetes, Rancher, Docker, CoreOS)
Experience in support and configuration of systems and application monitoring services (CloudWatch, Prometheus, StackDriver, Azure Monitor)
Experience with cloud management and governance technologies (CloudHealth, CloudCheckr)
Experience using, and configuring ITSM systems (Zendesk, ServiceNow)
Familiarity with running mission-critical infrastructure within 24x7 production environment



