11+ Access control Jobs in Pune | Access control Job openings in Pune

• Identity Access Management (IAM)/SailPoint IIQ  Implementation and Governance
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• Custom / OOTB connector development experience
• Integration experience with JDBC, Active Directory, ServiceNow, Mainframe  ACF2

🚀 Hiring: Data Engineer ( Azure )

⭐ Experience: 5+ Years

📍 Location: Pune, Bhopal, Jaipur, Gurgaon, Delhi, Banglore,

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

Hiring: Databricks Data Engineer – Lakeflow | Streaming | DBSQL | Data Intelligence

We are looking for a Databricks Data Engineer to build reliable, scalable, and governed data pipelines powering analytics, operational reporting, and the Data Intelligence Layer.

🔹 Key Responsibilities

• Build optimized batch pipelines using Delta Lake (partitioning, OPTIMIZE, Z-ORDER, VACUUM)
• Implement incremental ingestion using Databricks Autoloader with schema evolution & checkpointing
• Develop Structured Streaming pipelines with watermarking, late data handling & restart safety
• Implement declarative pipelines using Lakeflow
• Design idempotent, replayable pipelines with safe backfills
• Optimize Spark workloads (AQE, skew handling, shuffle & join tuning)
• Build curated datasets for Databricks SQL (DBSQL), dashboards & downstream applications
• Package and deploy using Databricks Repos & Asset Bundles (CI/CD)
• Ensure governance using Unity Catalog and embedded data quality checks

✅ Mandatory Skills (Must Have)

1. Databricks & Delta Lake (Advanced Optimization & Performance Tuning)
2. Structured Streaming & Autoloader Implementation
3. Databricks SQL (DBSQL) & Data Modeling for Analytics

ROLES AND RESPONSIBILITIES:

The Manager/Deputy Unit Manager – Dialer Ops serves as the functional owner of dialer performance across DMS portfolios. The role independently manages end-to-end dialer operations, leads performance optimization, and drives analytical insights to strengthen calling effectiveness. This position acts as a bridge between tactical execution and strategic decision-making, ensuring that dialer efficiency, compliance, and penetration targets are consistently met. The role requires strong domain expertise, analytical rigor, and cross-functional collaboration.

KEY RESPONSIBILITIES:

Dialer Strategy & Execution:

• Manage end-to-end execution of multiple dialer campaigns across various DMS delinquency buckets (X, 30+, 60+, 90+, etc.).
• Develop and execute segmentation-based calling strategies as guided by the business and senior leadership.
• Conduct deep-dive diagnostics on dialer logs, routing, pacing logic, and campaign-level performance.

Performance Optimization & Analytics:

• Analyze daily/weekly dialer metrics and highlight performance trends, gaps, and improvement opportunities.
• Implement dialing strategy enhancements—attempt logic, retry cycles, skill routing, and call distribution.

Compliance & Governance:

• Conduct rigorous audits of calling lists, exclusion logic, DND filters, opt-outs, customer consent, and allowed calling windows.
• Ensure adherence to regulatory guidelines, internal audit standards, and risk controls.
• Maintain robust documentation of campaign changes, SOP updates, and version logs.

Cross-Functional Coordination:

• Collaborate with Operations for workforce alignment, agent readiness, and campaign prioritization.
• Work with Tech teams to resolve dialer issues, API failures, latency lags, and integration errors.
• Partner with Quality and Policy teams to align operational execution with business rules.
• Coordinate with MIS teams for data validation and report automation.

Reporting & Governance:

• Prepare and publish daily/weekly/monthly MIS reports, dashboards, and analytical presentations.
• Present dialer performance during weekly business reviews and highlight key insights or areas requiring action.
• Track KPI dashboards for leadership, including connect %, agent utilization, penetration, drop %, and productivity metrics.

IDEAL CANDIDATE:

Domain & Technical Expertise:

• Strong understanding of Collections, DMS frameworks, delinquency buckets, and customer treatment strategies.
• Hands-on experience with enterprise-grade dialer systems (Genesys / Avaya / Aspect / Ameyo / NICE / Five9).
• In-depth knowledge of dialer modes (predictive, preview, progressive), pacing logic, call blending, and routing principles.
• Working knowledge of CRM systems, CTI integrations, and lead management platforms.

Analytical & Reporting Skills:

• Advanced Excel skills (Power Query, Pivots, Index/Match, Nested formulas, Data modeling).
• SQL proficiency preferred for data extraction, query building, and troubleshooting.
• Ability to interpret large data sets and convert findings into actionable insights.

Execution & Problem-Solving Skills:

• Strong troubleshooting ability to resolve dialer failures, configuration errors, and performance bottlenecks.
• High execution discipline with the ability to manage multiple campaigns simultaneously.
• Strong decision-making capabilities under operational pressure.

Communication & Stakeholder Management:

• Ability to collaborate effectively with cross-functional teams (Ops, Tech, Analytics, Compliance).
• Strong documentation, reporting, and presentation skills.
• Ability to translate analytical findings into business-friendly recommendations.

Eligibility-

• Open to employees in GB03A / GB03B as per mobility and internal movement guidelines.
• Must have completed minimum tenure requirements as defined by HR.
• No active performance improvement plan or disciplinary action.
• Consistent performance ratings and adherence to compliance norms.

PERKS, BENEFITS AND WORK CULTURE:

Our people define our passion and our audacious, incredibly rewarding achievements. The company is one of India’s most diversified non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India.

📍 About the Role

We are seeking a highly motivated Demand Generation Executive to join our growing team. You will play a key role in driving lead generation activities, qualifying prospects using the BANT (Budget, Authority, Need, Timeline) framework, and supporting sales efforts through quality pipeline creation. You will work closely with both Sales and Marketing teams to generate interest, identify opportunities, and contribute to revenue growth.

🔑 Key Responsibilities

• Conduct outbound prospecting to generate and qualify leads using BANT criteria (Budget, Authority, Need, Timeline).
• Perform contact discovery and market research to identify key decision makers and target accounts.
• Engage with prospects through cold calls, emails, LinkedIn outreach, and other channels.
• Maintain and update CRM records, ensuring accurate lead status and follow-up activity.
• Schedule qualified appointments/demo calls for the sales team.
• Collaborate with Marketing to improve campaigns and lead qualification processes.
• Track, analyze, and report on lead generation activities and outcomes. 

Role: .NET Developer

Exp: 5-7 Years

CTC: up to 15 LPA

Required Qualifications:

• 5+ years of professional software development experience.
• Post-secondary degree in computer science, software engineering or related discipline, or equivalent working experience.
• Development of distributed applications with Microsoft technologies: C# .NET/Core, SQL Server, Entity Framework.
• Deep expertise with microservices architectures and design patterns.
• Cloud Native AWS experience with services such as Lambda, SQS, RDS/Aurora, S3, Lex, and Polly.
• Mastery of both Windows and Linux environments and their use in the development and management of complex distributed systems architectures.
• Git source code repository and continuous integration tools.
• Proficient with debugging and profiling distributed systems.

Job Description

Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.

Role & Responsibilities

• Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
• LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
• Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
• Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
• Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
• Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.

Preferred Candidate Profile

• Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
• Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
• Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
• AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
• Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
• MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
• Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Education: Degree in Computer Science, Data Engineering, or related field.

Perks and Benefits

• Competitive Compensation: INR 20L to 30L per year.
• Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.

Person should be with degree in B.E/ B. Tech in Mech./ Electronics/ Electrical/ Production with 2-year prior experience in sales. Must have DL can drive his two-wheeler/4 wheeler for a sales call.

Experience in IIOT sales preferred.  

1. Basic understanding of Consultative and technical Sales, and IIoT(Industry 4.0)
2. Sales prospecting in the Manufacturing Industry and prior experience in sales for Industrial consumables/ M/c Tools/ software/ Industrial projects will be preferable.
3. Qualification of the prospects and visit /meeting for Sales Process movement.
4. Coordination with Presale for solutions and technical proposal making.
5. Building and enhancing the Pipeline of Qualified Prospects for Digital Transformation initiatives/ OEE/ CBMS/ Utility monitoring etc.
6. Working and ensuring to achieve revenue targets on a quarterly/yearly basis.
7. Capable of discussing with CXO for Meetings requests for commercial qualification of the opportunity.
8. Open for Travel.

Position: Site Reliability Engineer

Location: Pune (Currently WFH, post pandemic you need to relocate)

About the Organization:

A funded product development company, headquarter in Singapore and offices in Australia, United States, Germany, United Kingdom, and India. You will gain work experience in a global environment.

Job Description:

We are looking for an experienced DevOps / Site Reliability engineer to join our team and be instrumental in taking our products to the next level.

In this role, you will be working on bleeding edge hybrid cloud / on-premise infrastructure handing billions of events and terabytes of data a day.

You will be responsible for working closely with various engineering teams to design, build and maintain a globally distributed infrastructure footprint.

As part of role, you will be responsible for researching new technologies, managing a large fleet of active services and their underlying servers, automating the deployment, monitoring and scaling of components and optimizing the infrastructure for cost and performance.

Day-to-day responsibilities

• Ensure the operational integrity of the global infrastructure
• Design repeatable continuous integration and delivery systems
• Test and measure new methods, applications and frameworks
• Analyze and leverage various AWS-native functionality
• Support and build out an on-premise data center footprint
• Provide support and diagnose issues to other teams related to our infrastructure
• Participate in 24/7 on-call rotation (If Required)

• Expert-level administrator of Linux-based systems
• Experience managing distributed data platforms (Kafka, Spark, Cassandra, etc) Aerospike experience is a plus.
• Experience with production deployments of Kubernetes Cluster
• Experience in automating provisioning and managing Hybrid-Cloud infrastructure (AWS, GCP and On-Prem) at scale.
• Knowledge of monitoring platform (Prometheus, Grafana, Graphite).
• Experience in Distributed storage systems such as Ceph or GlusterFS.
• Experience in virtualisation with KVM, Ovirt and OpenStack.
• Hands-on experience with configuration management systems such as Terraform and Ansible
• Bash and Python Scripting Expertise
• Network troubleshooting experience (TCP, DNS, IPv6 and tcpdump)
• Experience with continuous delivery systems (Jenkins, Gitlab, BitBucket, Docker)
• Experience managing hundreds to thousands of servers globally
• Enjoy automating tasks, rather than repeating them
• Capable of estimating costs of various approaches, and finding simple and inexpensive solutions to complex problems
• Strong verbal and written communication skills
• Ability to adapt to a rapidly changing environment
• Comfortable collaborating and supporting a diverse team of engineers
• Ability to troubleshoot problems in complex systems
• Flexible working hours and ability to participate in 24/7 on call support with other team members whenever required.

Training Specialist

Location: Baner, Pune

Company Name: REI systems India Pvt Ltd (Product based)

Create digital elearning content to increase user adoption and engagement of our Product. You will bring leading-edge thinking, methodologies and approaches to the design and development of e-Learning interactive guides, courses, and multimedia. Partnering with stakeholders and subject matter experts (SMEs) to ensure accuracy of learning content and to deliver high-impact and interactive digital learning experiences.

Job Description

• Develop dynamic, customized, experiential e-learning courses and multimedia using a variety of technology tools.
• Work closely with (SMEs) throughout the project phases to ensure content accuracy and alignment with learning objectives.
• Effectively break down information into smaller, organized pieces for users, learners to understand on their own in asynchronous learning.
• Design, maintain and distribute application training communication pieces to end-users.
• Remove or archive outdated content from central repository.
• Deliver Train-theTrainer (TTT) sessions.
• Recommend proven learning strategies to address business challenges.
• Responsible for developing and creating learning material in Articulate, DAP, and video software tools.
• With direction, convert ILT to online Articulate and video courses.
• Create new online courses using Articulate and other software.
• Develop outlines, write video scripts, and create graphics for application trainings.
• Knowledgeable in learning design principles and creating engaging content to illustrate basic to complex concepts and processes for adult learners.
• Highly organized self-starter, with ability to multi-task and work under tight deadlines with flexibility.
• Excellent written and verbal communication along with strong attention to detail and follow-through skills.
• Assist the eLearning Manager with special projects, as needed.

Qualifications:

• Bachelor’s degree or equivalent work experience required.
• 3 years of experience working in instructional design, learning and development, or an eLearning role.
• 3 years of experience designing eLearning content for the Healthcare, Medtech or FinTech industry preferred.
• Working knowledge of Learning Management Systems.
• Working knowledge of eLearning tools such as Articulate Rise and Vyond.
• Working knowledge of digital adoption platforms.
• Working knowledge of graphic design and related tools.
• Working knowledge of agile methodology a plus

If interested, kindly revert with your updated cv ASAP & below details:

1. Total experience & Relevant experience in Training & E-learning?

2. Current CTC & Expected CTC:

3. Notice period. How immediate can you join us?

4. Are you holding any other offer. If yes, How much?

5. Location

6. Do you have a personal laptop/Desktop in good working condition?