22 Database Management Systems jobs in Delhi

Role Description

This is a full-time on-site role a Data Management Analyst. The Data Management Analyst will be responsible for managing and analyzing data, generating insights, and providing business analysis. The role involves day-to-day tasks such as data collection, data cleaning, data visualization, and reporting. The analyst will also collaborate with various teams to understand their data needs and provide actionable recommendations based on data analysis.

Qualifications

• Strong Analytical Skills and Data Analytics experience
• Expertise in Data Management and handling large datasets
• Proficiency in Business Analysis and understanding business requirements
• Excellent Communication skills, both written and verbal
• Proficiency in data visualization tools and software
• Ability to work collaboratively with cross-functional teams
• Bachelor's degree in Computer Science, Information Technology, Statistics, or a related field
• Experience in a similar role in the business or technology sector is an advantage

We are Looking For Data Operations & Data Management Expert

Proven experience in data operations and data management for US residential loan data. Strong expertise in data integration, ETL processes, and data pipeline management with hands-on experience in SQL, data warehousing, and cloud data platforms.

Key Responsibilities

Manage end-to-end data operations for US residential mortgage data.

Design, develop, and maintain ETL processes and data pipelines.

Ensure data quality, integrity, and compliance with standards.

Collaborate with stakeholders to gather requirements and translate them into technical solutions.

Lead and mentor a high-performing data team.

Analyze complex data sets and provide actionable insights.

Monitor and optimize data managemen processes and systems.

Required Skills & Qualifications

Proven experience with US residential mortgage data management.

Strong knowledge of data integration, ETL processes, and pipeline management.

Expertise in SQL, data warehousing, and cloud data platforms.

Excellent leadership and team management skills.

Strong analytical, problem-solving, and attention-to-detail abilities.

Excellent communication and interpersonal skills.

Bachelor's degree in Business, Data, or related field (Masters preferred).

Good to Have

Familiarity with advanced data management tools and technologies.

Experience in large-scale data migration and transformation projects.

Understanding of data governance, compliance, and regulatory requirements.

If you are an experienced Data Operations & Data Management professional ready to take on challenging and rewarding projects, we want to connect with you

Apply now or share your CV with us at

()

BMI Cables is looking for an experienced Data Management Executive to handle and optimize data processes. The role involves managing large sets of data, automating workflows, and ensuring smooth functioning of data systems to support business operations.

Key Responsibilities:

• Develop and manage automated workflows using App Script

• Create, maintain, and optimize Google Sheets for reporting and analysis

• Handle FMS (Facility/Field Management System) for operational efficiency

• Maintain accuracy, integrity, and security of data across platforms

• Provide insights through structured reporting and data visualization

• Collaborate with teams to streamline data processes and ensure timely delivery

Skills & Qualifications:

• Strong knowledge of App Script & Google Sheets

• Hands-on experience with FMS

• Analytical mindset with attention to detail

• Excellent problem-solving and organizational skills

• 5 to 10 years of proven experience in data management

HR Nivedita –

Job Types: Full-time, Permanent

Pay: ₹35, ₹45,000.00 per month

Work Location: In person

KPMG India is a leading professional services firm offering Audit, Tax, and Advisory solutions. Established in 1993, it operates as part of the global KPMG network, which spans over 140 countries. With a strong presence across major Indian cities, KPMG India is known for its deep industry expertise, commitment to quality, and focus on innovation and sustainability.

• Design, implement, and maintain MDM and RDM solutions aligned with business needs.
• Define and execute data governance and data quality strategies.
• Configure and manage match-merge rules, survivorship logic, and cross-reference mappings to ensure creation of golden records.
• Collaborate with business and IT stakeholders to define MDM operating models and implementation styles (registry, consolidation, coexistence, centralized).
• Develop and maintain data models, metadata, and data lineage documentation.
• Support data integration, cleansing, and migration activities.
• Monitor and improve data quality metrics and reporting.
• Provide training and support to data stewards and business users.
• Stay updated with industry trends and best practices in MDM and data governance.

ii. Education or Certifications:

• Bachelor's / Master's degree in engineering/technology/other related degrees.
• Relevant certifications from Collibra/Informatica/Talend/Ataccama and/or other leading platforms is a must
• Relevant certifications from DAMA, EDM Council and CMMI-DMM will be a bonus

iii. Work Experience:

• Minimum 4-6 years of hands-on experience in Master Data Management and Reference Data Management.
• Proven experience implementing MDM solutions using Informatica, Talend, or Ataccama.
• Strong understanding of match & merge, survivorship, cross-reference, and source system ranking.
• Experience working with data governance frameworks, data stewardship models and data quality tools.
• Familiarity with MDM Modernization will be a advantage
• Exposure to cloud-native MDM deployments and integration with enterprise systems is desirable.

KPMG India is a leading professional services firm offering Audit, Tax, and Advisory solutions. Established in 1993, it operates as part of the global KPMG network, which spans over 140 countries. With a strong presence across major Indian cities, KPMG India is known for its deep industry expertise, commitment to quality, and focus on innovation and sustainability.

• Design, implement, and maintain MDM and RDM solutions aligned with business needs.
• Define and execute data governance and data quality strategies.
• Configure and manage match-merge rules, survivorship logic, and cross-reference mappings to ensure creation of golden records.
• Collaborate with business and IT stakeholders to define MDM operating models and implementation styles (registry, consolidation, coexistence, centralized).
• Develop and maintain data models, metadata, and data lineage documentation.
• Support data integration, cleansing, and migration activities.
• Monitor and improve data quality metrics and reporting.
• Provide training and support to data stewards and business users.
• Stay updated with industry trends and best practices in MDM and data governance.

ii. Education or Certifications:

• Bachelor's / Master's degree in engineering/technology/other related degrees.
• Relevant certifications from Collibra/Informatica/Talend/Ataccama and/or other leading platforms is a must
• Relevant certifications from DAMA, EDM Council and CMMI-DMM will be a bonus

iii. Work Experience:

• Minimum 4-6 years of hands-on experience in Master Data Management and Reference Data Management.
• Proven experience implementing MDM solutions using Informatica, Talend, or Ataccama.
• Strong understanding of match & merge, survivorship, cross-reference, and source system ranking.
• Experience working with data governance frameworks, data stewardship models and data quality tools.
• Familiarity with MDM Modernization will be a advantage
• Exposure to cloud-native MDM deployments and integration with enterprise systems is desirable.

KPMG India is a leading professional services firm offering Audit, Tax, and Advisory solutions. Established in 1993, it operates as part of the global KPMG network, which spans over 140 countries. With a strong presence across major Indian cities, KPMG India is known for its deep industry expertise, commitment to quality, and focus on innovation and sustainability.

• Design, implement, and maintain MDM and RDM solutions aligned with business needs.
• Define and execute data governance and data quality strategies.
• Configure and manage match-merge rules, survivorship logic, and cross-reference mappings to ensure creation of golden records.
• Collaborate with business and IT stakeholders to define MDM operating models and implementation styles (registry, consolidation, coexistence, centralized).
• Develop and maintain data models, metadata, and data lineage documentation.
• Support data integration, cleansing, and migration activities.
• Monitor and improve data quality metrics and reporting.
• Provide training and support to data stewards and business users.
• Stay updated with industry trends and best practices in MDM and data governance.

ii. Education or Certifications:

• Bachelor's / Master's degree in engineering/technology/other related degrees.
• Relevant certifications from Collibra/Informatica/Talend/Ataccama and/or other leading platforms is a must
• Relevant certifications from DAMA, EDM Council and CMMI-DMM will be a bonus

iii. Work Experience:

• Minimum 4-6 years of hands-on experience in Master Data Management and Reference Data Management.
• Proven experience implementing MDM solutions using Informatica, Talend, or Ataccama.
• Strong understanding of match & merge, survivorship, cross-reference, and source system ranking.
• Experience working with data governance frameworks, data stewardship models and data quality tools.
• Familiarity with MDM Modernization will be a advantage
• Exposure to cloud-native MDM deployments and integration with enterprise systems is desirable.

Senior Data Engineering Manager / Director (Onboarding & Data Migration)

Location Bengaluru. CTC Above 60 LPA. Face to Face interview. Immediate Joiner preferred.

Work from office.

Role Summary: The Senior Data Engineering Manager / Director will own the end-to-end data onboarding function within the SaaS platform for the self-storage industry. This leader is responsible for building and scaling the data engineering and migration frameworks that enable properties to move seamlessly from legacy PMS systems into Hummingbird. They will combine deep technical expertise, team leadership, and domain understanding of self-storage operations to ensure every migration is accurate, reliable, and customer-friendly. This role is both strategic (defining onboarding as a core platform capability) and operational (ensuring execution at scale across hundreds of properties). Key Responsibilities Data Onboarding Leadership ● Own the data migration pipeline from PMS → Hummingbird (extract, transform, validate, load). ● Define and enforce data quality, validation, and reconciliation standards (balances, leases, gate codes, autopay). ● Partner with Customer-facing onboarding teams, Product, Engineering and Sales teams to design repeatable onboarding playbooks for PMS migrations. ● Ensure migrations minimize operator disruption and preserve business continuity. Team Building & Management ● Lead and grow a team of Data Engineers, Migration Specialists, and QA Analysts. ● Build a culture of operational excellence, accountability, and customer empathy. ● Mentor senior engineers into tech leads and empower customer-facing onboarding staff with tools and automation. Technical Strategy & Execution ● Work closely with a Data Architect and own the data onboarding platform, including ETL/ELT frameworks, schema mapping templates, and automation. ● Drive automation-first approaches (reduce custom work per migration by building reusable tools for SiteLink, storEDGE, SSM, etc.). ● Establish monitoring, error handling, auditability, and rollback capabilities for safe cutovers. ● Collaborate with Infra/SRE teams to ensure migrations run securely and efficiently on AWS (RDS, Kinesis, Redis). Cross-Functional Partnership ● Work with Product to evolve Hummingbird’s data model to accommodate complex onboarding scenarios. ● Align with Product, Customer Success & Sales to scope migrations and set realistic expectations for customers. ● Partner with Compliance on data security, privacy, and regulatory obligations (PCI, SOC 2, GDPR). Required Skills & Experience ● Technical Expertise ○ 10+ years in data engineering with 5+ in leadership roles, managing teams building Data pipelines using a combination of ETL tools and public cloud platform(s). ○ Deep knowledge of ETL/ELT, data modeling, and migration frameworks. ○ Proficiency with SQL, Python/Node.js, and data pipeline tools (Airflow, dbt, Spark). ○ Hands-on experience with cloud-native data platforms (AWS RDS, Redshift/Snowflake, Kafka/Kinesis). ○ Experience in SaaS multi-tenant architectures and onboarding processes. ● Domain Knowledge (preferred) ○ Familiarity with Property Management Systems (PMS) or Proptech systems and data models used in real estate (leases, billing cycles, unit statuses, auctions). ● Leadership & Business Acumen ○ Proven ability to scale teams and manage delivery under time-critical conditions. ○ Strong communication skills with executives, engineers, and customer-facing teams. ○ Track record of transforming onboarding from a manual process into a repeatable productized capability KPIs / Success Metrics ● Onboarding efficiency: Time to migrate a property portfolio reduced by X%. ● Data quality: Error rates in post-migration audits (e.g., tenant balances, leases). ● Scalability: Number of properties migrated per quarter without proportional headcount increase. ● Customer satisfaction: Post-migration CSAT / NPS from operators. ● Operational impact: Reduction in support escalations related to onboardin

This leader ensures that data onboarding is not a bottleneck but a competitive advantage. By building a scalable, automated, and customer-centric onboarding engine, they enable our client to grow faster, onboard more operators with confidence, and reinforce Hummingbird as the most trusted self-storage PMS in the industry. This profile positions the role as both a technical leader and a business enabler, with onboarding treated as a core product capability instead of a one-off service.