97 Data Manipulation jobs in Bangalore

Insight Global are looking to hire a Sr Data Management Analyst to join a global financial services firm. The team is focused on driving data and process design and change management for scalable digitization across critical business initiatives including workflows, analytics and ESG services.

The group works collectively with stakeholders in other lines of business, Product Management, User Experience designers, developers, control functions and others to document current state processes, define critical requirements for improvement, identify and map required data elements and lead simplification initiatives. The group works in an Agile, product-centric operating model that delivers digital solutions and incremental improvements to process, data, and user tools.

Role/Responsibilities:

As part of the Ratings Platform Development team which leads the design and adoption of new processes and data workflows that enable digital transformation and scalability across the organization globally.

The Data Management Analyst role will assist in defining, managing and governing the data used across several product workflows, acting with support from senior data team members. Core accountabilities include:

• Investigate, analyse, and continuously improve data taxonomies and data attributes for key workflow data sets to support digital solutions
• Assist in developing an initial set of harmonized data requirements contributing to efficiency and quality enhancements
• Participate in the definition of data concepts, common reference data and establish sound data usage practices with relevant partners
• Partner with technology, data, and process teams to develop next generation data structure plan including creating databases, supporting data migration activities and establishing data governance practices
• Support User Acceptance Testing (UAT) for new Digital Ratings Platform (DRP)
• Collaborate across key MIS partners to determine the data required to deliver the target state service solution, and map the end-to-end data lineage
• Identify, clean, validate and migrate data elements from legacy databases to modern data infrastructure
• Assist in designing and monitoring key performance indicators related to key data processes and data quality, and monitor and report on observed process performance including to suggest data improvements
• Contribute to a rigorous and consistent framework to govern data changes and align this approach with partner teams
• Utilize SQL Script writing/execution to extract data to support data analysis
• Review data sets to provide insights on data patterns, data normalization, and data standardization recommendations
• Work in Agile pods to define business data requirements for digital technology solutions, identify any opportunities to improve and re-develop technology solutions with Product Owners
• Collaborate with our learning and process teams to develop data training, communication plans and roll-out plans for key data and technology changes

Must-haves:

• 8-9+ years of demonstrable experience in data management and data transformation roles
• 4+ years of any Data migration experience.
• Experience using Master Data Management and Data Governance tools such as Collibra
• Proficient in SQL
• Understanding of Agile methodologies
• Knowledge of database structures, data lineage mapping, data governance reporting, SQL
• Experience working with unstructured data
• Experience working with customers and/or users to understand data requirements and use cases
• Proficient communication skills to simplify complex themes

Plusses:

• Cypress

Hello, Good Day !

Minimum 6 Yrs Hands-on with the Subject.

Currently, looking for an Individual, possessing the following Skill-Set w.r.t to Employment.

Kindly reach-out to me if you inherit these tools.

Sharing the required profile for your reference.

JD Requirement : -

• Test Data management experience on tools like Informatica, Delphix etc.
• Good understanding of Data Masking / Scrubbing / Obfuscation techniques .
• CA TDM and Broadcom TDM (Informatica , Data masking, integration)
• Ability to write queries / Macros / scripts using tools like SQL, VB, QTP, Selenium and XML .
• Good understanding of various DataBase technologies (DB2, Teradata, Oracle 10g/11g, SQL server, Big data/Hadoop).
• Automate test data refresh and creation processes.
• Automation experience using Selenium, Excel Macros or similar tools -Proficient in MS Word, Excel, Outlook and PowerPoint.

Good-to-Have : -

• Excellent analytical and problem-solving skills.
• Strong interpersonal skills, team player and extremely resourceful.
• Proven ability to complete projects according to outlined scope and timeline.
• Very good written and oral communication skills.

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.

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.

Overview

We are seeking a highly motivated Data Analytics & Transformation Analyst to join our Internal Audit department. This role will play a critical part in modernizing and streamlining our testing processes through automation, advanced analytics, and innovative coding solutions. The Analyst will collaborate with auditors and stakeholders to design, develop, and implement automated testing frameworks that enhance efficiency, accuracy, and insight in our audit practices.

Key Responsibilities

• Automation Development : Design, build, and maintain automated testing solutions to support audit activities and streamline manual processes.
• Coding & Scripting : Develop, document, and maintain scripts and tools (e.g., Python, SQL, R, or similar languages) to perform automated testing and data analysis.
• Data Transformation & Analytics : Extract, transform, and analyze large datasets to identify anomalies, trends, and potential risk indicators.
• Testing Optimization : Partner with auditors to understand testing objectives and translate them into automated approaches that improve efficiency and reliability.
• Tool & Process Innovation : Research and recommend emerging technologies, frameworks, and methodologies that can be applied to audit testing.
• Collaboration : Work closely with Internal Audit team members and cross-functional stakeholders to ensure solutions meet business requirements and align with audit objectives.
• Documentation & Training : Prepare clear documentation of automated testing processes and provide training/support to the audit team.

Qualifications:

Experience and Skills:

• Bachelor’s Degree in data Analytics, Computer Science, Information Systems, Accounting Information Systems, or a related field.
• Hands-on coding experience with languages such as Python, R, SQL, or similar.
• Experience with data manipulation, automation frameworks, and analytics tools.
• Strong understanding of data integrity, data quality, and transformation processes.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong written and verbal communication skills to explain technical concepts to non-technical stakeholders.

Desirable Skills:

• Experience in internal audit, risk management, or compliance functions.
• Familiarity with audit testing methodologies or audit management software.
• Experience with data visualization tools (Power BI, Tableau, Qlik, etc.).
• Exposure to ETL tools, APIs, or cloud-based data platforms.
• Knowledge of process mining or continuous auditing techniques.

Soft Skills:

• Effective collaboration and communication skills, with a proven ability to work with interdisciplinary teams.
• Strategic thinker with a proactive approach to fraud risk assessment and process optimization.
• Commitment to upholding data integrity, confidentiality, and ethical standards in all forensic and data-driven activities.

Travel:

• Between 25%-50% travel is required

Amphenol Corporation is an equal opportunity employer and we encourage applications from all qualified candidates.

Overview

We are seeking a highly motivated Data Analytics & Transformation Analyst to join our Internal Audit department. This role will play a critical part in modernizing and streamlining our testing processes through automation, advanced analytics, and innovative coding solutions. The Analyst will collaborate with auditors and stakeholders to design, develop, and implement automated testing frameworks that enhance efficiency, accuracy, and insight in our audit practices.

Key Responsibilities

• Automation Development : Design, build, and maintain automated testing solutions to support audit activities and streamline manual processes.
• Coding & Scripting : Develop, document, and maintain scripts and tools (e.g., Python, SQL, R, or similar languages) to perform automated testing and data analysis.
• Data Transformation & Analytics : Extract, transform, and analyze large datasets to identify anomalies, trends, and potential risk indicators.
• Testing Optimization : Partner with auditors to understand testing objectives and translate them into automated approaches that improve efficiency and reliability.
• Tool & Process Innovation : Research and recommend emerging technologies, frameworks, and methodologies that can be applied to audit testing.
• Collaboration : Work closely with Internal Audit team members and cross-functional stakeholders to ensure solutions meet business requirements and align with audit objectives.
• Documentation & Training : Prepare clear documentation of automated testing processes and provide training/support to the audit team.

Qualifications:

Experience and Skills:

• Bachelor’s Degree in data Analytics, Computer Science, Information Systems, Accounting Information Systems, or a related field.
• Hands-on coding experience with languages such as Python, R, SQL, or similar.
• Experience with data manipulation, automation frameworks, and analytics tools.
• Strong understanding of data integrity, data quality, and transformation processes.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong written and verbal communication skills to explain technical concepts to non-technical stakeholders.

Desirable Skills:

• Experience in internal audit, risk management, or compliance functions.
• Familiarity with audit testing methodologies or audit management software.
• Experience with data visualization tools (Power BI, Tableau, Qlik, etc.).
• Exposure to ETL tools, APIs, or cloud-based data platforms.
• Knowledge of process mining or continuous auditing techniques.

Soft Skills:

• Effective collaboration and communication skills, with a proven ability to work with interdisciplinary teams.
• Strategic thinker with a proactive approach to fraud risk assessment and process optimization.
• Commitment to upholding data integrity, confidentiality, and ethical standards in all forensic and data-driven activities.

Travel:

• Between 25%-50% travel is required

Amphenol Corporation is an equal opportunity employer and we encourage applications from all qualified candidates.

Position: E-discovery- Data Management

Job Type: Full Time

Morae Global seeks to find the best and the brightest people- those who understand what it takes to deliver top quality solutions for our clients.

Responsibilities:

• Working closely with all internal stakeholders on technical issues related to the eDiscovery Function.

• Providing end-to-end data collection, processing, review workflows, analytics, and production/export deliverables.

• Experienced in the eDiscovery and team handling roles.

• Strong knowledge in Industry-standard platforms like Relativity (Relativity Certification preferred), Nuix.

• Familiar with data load files and production formats

• Flexible with working hours and open to working in 24x7 shifts.

• Should understand and handle Forensic collection, and analysis using Encase, FTK

• Hands-on with supporting tools like Ready Suite, Safe Copy, Tree Size Trident, Aid4 Email, etc.

• Ability to read and construct queries on SQL and formulate the data per business needs.

• Should have knowledge of FTP usage and handling data transfers.

• Strong conceptual thinking and ideation skills; passion for brainstorming ideas, sketching concepts, and connecting pieces to solve problems.

• Working experience as a team member: understanding personal and team roles; contributing to a positive working environment by building solid relationships with team members

• Proactively seeking guidance, clarification, and feedback. Also providing guidance, clarification, and feedback to less-experienced resources and taking ownership of crucial tasks to share knowledge or train them.

• Experience in priority job planning and managing a shift 24x7.

• Managing or handling client calls to troubleshoot problems or issues.

• Candidate should have an interest in and an ability to rapidly learn new tools and technologies.

• Setting up eDiscovery workflows and Documentation.

• Strong technical knowledge and ability to conduct root cause analysis.

• Training and motivating team members as they closely work with the client.

• Focusing on individual performance and ensures they are adhering the existing procedures or workflows.

Skills and Experience:

• 4+ years of experience performing e-discovery processing, productions, and migrations.

• Managing Team and Shift schedules.

• Must have a bachelor’s degree.

• Working experience in the “Follow the Sun Model “or 24X7 shift.

• Strong Analytical and Interpretational skills.

• Delegating responsibilities and supervising BAU.

• Strong Technical knowledge of Relativity, Nuix, Brainspace.

• Excellent communication skills and result driven.

Why Morae?

Morae’s approach to employee development is unique in the marketplace. At Morae employees are given opportunities to progress at their own pace and to influence the course of their professional growth. This includes having the opportunity to earn a client facing role or even an oversight role within their first year!

About Morae:

Morae is a dynamic, high-growth organization that provides an integrated suite of solutions to corporate law departments and law firms, and partners with leading software and services providers, both within and outside the legal industry. We are a young company but are made up of seasoned professionals in the legal industry, with a focus on building productive long-term relationships with employees and clients in an environment where collaboration is encouraged, knowledge is shared freely, and diversity of thought, cultures, communities, and points of view is embraced. Our team has the vision to create an effective solution for any business problem and the experience to execute that vision. Learn more at moraeglobal.com. Our privacy policy can be found here

Blutic is looking for a Data Management Lead with 5+ years experience to work independently with limited supervision and manages large projects or processes. Coaches and reviews the work of other professionals.

Problems faced are difficult (i.e. requires significant effort) and often complex (i.e. involves multiple layers and components to solve). Influences others regarding policies, practices and procedures.

The Senior Professional, Data Management & Governance job ensures the accuracy, security and effective use of the organization’s complex data. With minimal supervision, this subject matter authority develops, implements and governs policies and practices to ensure compliance with standards and policies while improving the value of data.

This is an onsite position, candidate must be based in Bangalore location

Key Responsibilities

• Serves as a domain expert and contributes to developing, deploying and maintaining data management and governance strategies aligned with organizational goals.
• Develops, documents and governs detailed data standards to ensure consistency and quality across data domains, and that policies are followed.
• Ensures the accuracy, consistency and reliability of data throughout its lifecycle by setting data quality standards, supervising data quality metrics and implementing corrective processes while conducting data quality audits as needed to ensure data standards are met, and works across organizational boundaries to address process changes, educational opportunities and organizational accountability.
• Serves as a domain authority to provide operational improvements to reduce data defects and risks, improve efficiency and speed while maintaining compliance to regulations and policies.
• Consults with business teams who are managing complex data from initiation to decommissioning to guide compliance with policies and regulations and serves as a subject matter expert to define opportunities for improvement, risk areas and driving a backlog of maturity advancements for consideration.
• Develops and deploys training programs to improve organizational literacy, compliance to data standards and policies and increased understanding of accountability for data responsibilities.

MINIMUM & TYPICAL YEARS OF WORK EXPERIENCE

• Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.

CLIENT CORE COMPETENCIES - SUMMARY DESCRIPTIONS

• Lead Change - Level 2 - Develops resiliency to positively navigate change, work within uncertainty, and support others through the process.
• Demonstrate Digital Technology & Data Fluency - Level 2 - Understands the importance of information security, embracing and integrating new technologies to contribute to team performance as well as working on how to use data to aid in decision making.
• Build Financial & Business Acumen - Level 2 - Looks to increase financial and business understanding to draw accurate insights and use information as a strategic tool.
• Develop Self and Others - Level 2 - Seeks out feedback, coaching and assignments that lead to personal growth, aligns career goals with business, and holds self accountable.
• Partner with Impact - Level 2 - Develops skills to be a strong partner by understanding the business and the customer, how to anticipate needs and identify benefits and risks of solutions.
• Execute with Excellence - Level 2 - Identify value of future scenarios, resource allocation, how to anticipate potential obstacles and contributes to the end-to-end execution.