7+ DMS Jobs in India

Seeking an experienced AWS Migration Engineer with 7+ years of hands-on experience to lead cloud migration projects, assess legacy systems, and ensure seamless transitions to AWS infrastructure. The role focuses on strategy, execution, optimization, and minimizing downtime during migrations.

Key Responsibilities:

• Conduct assessments of on-premises and legacy systems for AWS migration feasibility.
• Design and execute migration strategies using AWS Migration Hub, DMS, and Server Migration Service.
• Plan and implement lift-and-shift, re-platforming, and refactoring approaches.
• Optimize workloads post-migration for cost, performance, and security.
• Collaborate with stakeholders to define migration roadmaps and timelines.
• Perform data migration, application re-architecture, and hybrid cloud setups.
• Monitor migration progress, troubleshoot issues, and ensure business continuity.
• Document processes and provide post-migration support and training.
• Manage and troubleshoot Kubernetes/EKS networking components including VPC CNI, Service Mesh, Ingress controllers, and Network Policies.

Required Qualifications:

• 7+ years of IT experience, with minimum 4 years focused on AWS migrations.
• AWS Certified Solutions Architect or Migration Specialty certification preferred.
• Expertise in AWS services: EC2, S3, RDS, VPC, Direct Connect, DMS, SMS.
• Strong knowledge of cloud migration tools and frameworks (AWS MGN, Snowball).
• Experience with infrastructure as code (CloudFormation, Terraform).
• Proficiency in scripting (Python, PowerShell) and automation.
• Familiarity with security best practices (IAM, encryption, compliance).
• Hands-on experience with Kubernetes/EKS networking components and best practices.

Preferred Skills:

• Experience with hybrid/multi-cloud environments.
• Knowledge of DevOps tools (Jenkins, GitLab CI/CD).
• Excellent problem-solving and communication skills.

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.

Sr. Sales Manager – Enterprise Solutions (HUNTER Role)

Location: India (Onsite)

Experience: 10–12 years in enterprise solution sales, including 5–7 years in SFA/DMS,

merchandising, or related tech sales

Market Focus: India

Reporting To: VP Sales

The Opportunity

This is not a farming role. This is not about maintaining accounts.

We’re looking for a relentless HUNTER — someone who lives for the chase, thrives on

creating opportunities from scratch, and doesn’t stop until the deal is closed. If you’re a hustler,

a target-smasher, and a relationship-builder who can open doors at the highest levels, WINIT

wants you.

You’ll be responsible for hunting new enterprise logos, building deep CxO relationships, and

expanding our footprint across India — selling our AI-powered Sales Force Automation (SFA),

Distributor Management Systems (DMS), Merchandising Solutions, and Enterprise AI

offerings that are transforming how FMCG, electronics, and consumer durables companies

sell, distribute, and execute in the market.

What You’ll Do

● Hunt and win — identify, engage, and close new enterprise accounts in FMCG,

Electronics, and Consumer Durables sectors.

● Lead with value and benefits, not just features — clearly articulate the business impact

of SFA, DMS, Merchandising, and AI solutions.

● Own the full sales cycle — from cold outreach and discovery to proposal creation,

negotiation, contract validation, and signed deal.

● Deliver professional, high-impact product demos tailored to the client’s needs.

● Learn the product in depth and continuously enhance your technical and functional

understanding.

● Acquire strong domain knowledge in FMCG sales, distribution, merchandising, and AI

applications — become a trusted advisor to clients.

● Negotiate like a pro — balance winning deals with protecting margins and ensuring

commercial viability.

● Create compelling proposals and RFP responses that align with client priorities.

● Validate contracts and ensure all terms are correct and commercially sound.

● Take ownership of revenue accruals — track, verify, and ensure accurate reporting in

coordination with finance.

● Use CRM systems to manage leads, track opportunities, and maintain accurate sales

forecasts.

● Build and execute a territory domination plan to maximize market penetration.

● Create and grow a network of partners and resellers to expand indirect sales

channels.

● Use AI-powered sales intelligence tools to research accounts, personalize outreach,

and stay ahead of competition.

● Be target-oriented and driven, consistently achieving and exceeding assigned sales

goals.

What You Bring

● 10–12 years in enterprise sales, with 5–7 years selling SFA, DMS, merchandising

solutions, or related enterprise software in the Indian market.

● Non-negotiable HUNTER mindset — you live for winning new business, not just

managing existing accounts.

● Proven ability to sell value and benefits to CxOs and senior leaders, tying solutions

directly to business outcomes.

● Skilled at delivering professional demos that inspire confidence and drive buying

decisions.

● Commitment to deep product learning and continuously acquiring domain expertise.

● Strong negotiation skills with a track record of closing complex enterprise deals.

● Experience in proposal writing, contract validation, and managing revenue

accruals.

● Proficient in using CRM platforms (e.g., Salesforce, HubSpot, Zoho) to manage the

sales process.

● Demonstrated success in building and managing partner and reseller networks.

● Strong network across FMCG, Electronics, and Consumer Durables in India.

● Comfort using AI tools like LinkedIn Sales Navigator AI, ChatGPT for proposal drafting,

and competitive intelligence platforms to gain an edge.

● Entrepreneurial, self-driven, and comfortable working in high-pressure, target-driven

environments.

Why WINIT

● Sell market-leading AI-powered SFA, DMS, Merchandising, and Enterprise AI

solutions trusted by top brands globally.

● Work with a high-performance sales culture that rewards results, hustle, and ambition.

● The more you sell, the more you earn — your effort directly drives your income.

● A culture that values ownership, speed, and getting things done.

● Backed by a global team, cutting-edge tech, and strong product-market fit.

Position: Lead Database Engineer

Experience: 3+ Years

Mandatory Skills: Amazon Aurora PostgreSQL, MySQL, NoSQL, AWS RDS, DMS, Performance Tuning, Replication Strategies, Query Optimization

Job Description:

• Database Administration: Manage and administer Amazon Aurora PostgreSQL, MySQL, and NoSQL databases, ensuring high availability, performance, and security.
• AWS Expertise: Proficient in AWS services such as RDS, Aurora, and DMS, with a strong understanding of cloud database architectures.
• Optimization: Implement optimization strategies at the database, query, collection, and table levels for PostgreSQL/MySQL. Expertise in performance monitoring and tuning.
• Configuration Management: Configure and fine-tune RDS parameter groups to enhance database performance and security.
• Monitoring & Troubleshooting: Proactively monitor database performance, identify bottlenecks, and perform root cause analysis (RCA) for issues.
• Access Control: Manage PostgreSQL/MySQL user permissions and roles, ensuring strict data security and access control protocols.
• Replication Strategies: Hands-on experience with master-master and master-slave replication setups.
• Collaboration: Work closely with development teams to provide guidance on database design, query optimization, and performance tuning.
• Backup & Recovery: Establish and maintain robust backup and recovery procedures to ensure data integrity and availability.
• Database Upgrades: Perform major version upgrades for MySQL and PostgreSQL to leverage new features and improvements.
• Problem Solving: Troubleshoot and resolve complex database performance issues, implementing innovative and effective solutions.

Note: Expertise in database performance tuning, AWS database services, and advanced replication strategies is essential.

Job Title : Lead Database Engineer

Location : Gurgaon Sector-43

Experience Required : 4+ Years

Employment Type : Full-Time

Summary :

We are seeking a highly skilled Lead Database Engineer with expertise in managing and optimizing database systems, primarily focusing on Amazon Aurora PostgreSQL, MySQL, and NoSQL databases. The ideal candidate will have in-depth knowledge of AWS services, database architecture, performance tuning, and security practices.

Key Responsibilities :

1. Database Administration :

• Manage and administer Amazon Aurora PostgreSQL, MySQL, and NoSQL database systems to ensure high availability, performance, and security.
• Implement robust backup and recovery procedures to maintain data integrity.

2. Optimization and Performance:

• Develop and execute optimization strategies at the database, query, collection, and table levels.
• Proactively monitor performance and fine-tune RDS parameter groups for optimal database operations.
• Conduct root cause analysis and resolve complex database performance issues.

3. AWS Services and Architecture :

• Leverage AWS services such as RDS, Aurora, and DMS to ensure seamless database operations.
• Perform database version upgrades for PostgreSQL and MySQL, integrating new features and performance enhancements.

4. Replication and Scalability:

• Implement and manage various replication strategies, including master-master and master-slave replication, ensuring data consistency and scalability.

5. Security and Access Control:

• Manage user permissions and roles, maintaining strict security protocols and access controls.

6. Collaboration:

• Work closely with development teams to optimize database design and queries, aligning database performance with application requirements.

Required Skills :

• Strong Expertise: Amazon Aurora PostgreSQL, MySQL, and NoSQL databases.
• AWS Services: Experience with RDS, Aurora, and DMS.
• Optimization: Hands-on experience in query optimization, database tuning, and performance monitoring.
• Replication Strategies: Knowledge of master-master and master-slave replication setups.
• Problem Solving: Proven ability to troubleshoot and resolve complex database issues, including root cause analysis.
• Security: Strong understanding of data security and access control practices.
• Collaboration: Ability to work with cross-functional teams and provide database-related guidance.

Preferred Qualifications :

• Certification in AWS or database management tools.
• Experience with other NoSQL databases like MongoDB or Cassandra.
• Familiarity with Agile and DevOps methodologies.

AWS Glue Developer 

Work Experience: 6 to 8 Years

Work Location:  Noida, Bangalore, Chennai & Hyderabad

Must Have Skills: AWS Glue, DMS, SQL, Python, PySpark, Data integrations and Data Ops, 

Job Reference ID:BT/F21/IND

Job Description:

Design, build and configure applications to meet business process and application requirements.

Responsibilities:

7 years of work experience with ETL, Data Modelling, and Data Architecture Proficient in ETL optimization, designing, coding, and tuning big data processes using Pyspark Extensive experience to build data platforms on AWS using core AWS services Step function, EMR, Lambda, Glue and Athena, Redshift, Postgres, RDS etc and design/develop data engineering solutions. Orchestrate using Airflow.

Technical Experience:

Hands-on experience on developing Data platform and its components Data Lake, cloud Datawarehouse, APIs, Batch and streaming data pipeline Experience with building data pipelines and applications to stream and process large datasets at low latencies.

➢ Enhancements, new development, defect resolution and production support of Big data ETL development using AWS native services.

➢ Create data pipeline architecture by designing and implementing data ingestion solutions.

➢ Integrate data sets using AWS services such as Glue, Lambda functions/ Airflow.

➢ Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, RDS, S3, Athena.

➢ Author ETL processes using Python, Pyspark.

➢ Build Redshift Spectrum direct transformations and data modelling using data in S3.

➢ ETL process monitoring using CloudWatch events.

➢ You will be working in collaboration with other teams. Good communication must.

➢ Must have experience in using AWS services API, AWS CLI and SDK

Professional Attributes:

➢ Experience operating very large data warehouses or data lakes Expert-level skills in writing and optimizing SQL Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technology.

➢ Must have 6+ years of big data ETL experience using Python, S3, Lambda, Dynamo DB, Athena, Glue in AWS environment.

➢ Expertise in S3, RDS, Redshift, Kinesis, EC2 clusters highly desired.

Qualification:

➢ Degree in Computer Science, Computer Engineering or equivalent.

Salary: Commensurate with experience and demonstrated competence

Roles and

Responsibilities

Seeking AWS Cloud Engineer /Data Warehouse Developer for our Data CoE team to

help us in configure and develop new AWS environments for our Enterprise Data Lake,

migrate the on-premise traditional workloads to cloud. Must have a sound

understanding of BI best practices, relational structures, dimensional data modelling,

structured query language (SQL) skills, data warehouse and reporting techniques.

 Extensive experience in providing AWS Cloud solutions to various business

use cases.

 Creating star schema data models, performing ETLs and validating results with

business representatives

 Supporting implemented BI solutions by: monitoring and tuning queries and

data loads, addressing user questions concerning data integrity, monitoring

performance and communicating functional and technical issues.

Job Description: -

This position is responsible for the successful delivery of business intelligence

information to the entire organization and is experienced in BI development and

implementations, data architecture and data warehousing.

Requisite Qualification

Essential

-

AWS Certified Database Specialty or -

AWS Certified Data Analytics

Preferred

Any other Data Engineer Certification

Requisite Experience

Essential 4 -7 yrs of experience

Preferred 2+ yrs of experience in ETL & data pipelines

Skills Required

Special Skills Required

 AWS: S3, DMS, Redshift, EC2, VPC, Lambda, Delta Lake, CloudWatch etc.

 Bigdata: Databricks, Spark, Glue and Athena

 Expertise in Lake Formation, Python programming, Spark, Shell scripting

 Minimum Bachelor’s degree with 5+ years of experience in designing, building,

and maintaining AWS data components

 3+ years of experience in data component configuration, related roles and

access setup

 Expertise in Python programming

 Knowledge in all aspects of DevOps (source control, continuous integration,

deployments, etc.)

 Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD

 Hands on ETL development experience, preferably using or SSIS

 SQL Server experience required

 Strong analytical skills to solve and model complex business requirements

 Sound understanding of BI Best Practices/Methodologies, relational structures,

dimensional data modelling, structured query language (SQL) skills, data

warehouse and reporting techniques

Preferred Skills

Required

 Experience working in the SCRUM Environment.

 Experience in Administration (Windows/Unix/Network/Database/Hadoop) is a

plus.

 Experience in SQL Server, SSIS, SSAS, SSRS

 Comfortable with creating data models and visualization using Power BI

 Hands on experience in relational and multi-dimensional data modelling,

including multiple source systems from databases and flat files, and the use of

standard data modelling tools

 Ability to collaborate on a team with infrastructure, BI report development and

business analyst resources, and clearly communicate solutions to both

technical and non-technical team members