206 Data Manipulation jobs in Bengaluru
Data Transformation Architect
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Talworx is an emerging recruitment consulting and service firm, we are hiring for our client which provides governments, businesses, and individuals with market data, expertise, and technology solutions for confident decision-making. Our services span from global energy solutions to sustainable finance solutions. From helping our customers perform investment analysis to guiding them through sustainability and energy transition across supply chains, our solutions help unlock new opportunities and solve challenges.
Location: Hybrid work from office from nearest client branch, Preferrably from Hyderabad, Bangalore, Gurgaon.
The Team:You will be part of a rapidly growing organization, joining the team of highly motivated and professional Data Scientists and Machine Learning Engineers within Market Intelligence division. Market Intelligence provides financial and industry data, research, news and analytics to investment professionals, government agencies, corporations, and universities worldwide. We integrate news, comprehensive market and sector-specific data and analytics into a variety of tools to help clients track performance, generate alpha, identify investment ideas, understand competitive and industry dynamics, perform valuations, and assess credit risk.
The Impact:We are looking for candidates that are passionate to architect, build, scale and deploy Machine Learning Models and their associated Software Technology components that provide timely and essential intelligence to our disparate array of customers across the globe.
What's in it for you:We provide a highly inclusive work environment where in you can bring your whole self to work to assist us in achieving its mission of being one of the leading providers of the highest quality risk evaluations and analytical information to the world's financial markets. As an integral part of our team, you will be working on cutting edge state-of-the-art technology stack. In this role, you will work on multiple data science projects in collaboration with internal and external project owners on the product, commercial, and data team. You will be responsible for providing machine learning engineers support, create data pipeline for modeling, scale models, develop APIs to help move machine learning models in production. You will collaborate with the data scientists and production-oriented software engineers
.
Responsibilities Responsibilities:
- Construct machine learning lifecycle management including data collection, normalization, and standardization within a data pipeline construction
- Architect technology components and build applications and interfaces for customer's consumption
- Experiment, develop and productionize high quality machine learning services and platforms to make huge technology and business impact.
- Develop hosting platform for machine learning models.
- Create pipelines to query and retrieve and update data for existing applications to keep them updated
- Supervise the scaling and management of the machine learning modeling ecosystem
- Work alongside data scientists and product owners to improve aspects of their lines of business through machine learning
What We're Looking For:
- Extensive problem-solving ability in designing complex data and cloud architectures,
- Must possess strong hands on experience with Spark, AWS, Bigdata (Hadoop), Python and pyspark
- Possess excellent verbal & written communication skills
- Expertise in application, data, and infrastructure architecture disciplines
- Advanced knowledge of architecture and design across all systems
- Proficiency in multiple machine learning programming languages including Python, PySpark, or Scala
- 5 + years of experience with big-data technologies such as Hadoop, Spark, SparkML, etc
- Able to understand various data structures and common methods in data transformation
- Knowledge of industry-wide technology trends and best practices
- Ability to work in large, collaborative teams to achieve organizational goals
- Passionate about building an innovative culture
- Familiarity with MLOps and ModelOps
- Docker, Kubernetes, AWS, Python
- Familiarity with or clear interest in learning about financial Markets.
Data Transformation Specialist
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Role - Data Engineer
Experience - 2+ Yrs
Location - Bangalore
Roles and Responsibilities:
Create and maintain optimal data pipeline architecture
Create and maintain events/streaming based architecture/design
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data scientists to strive for greater functionality in our data systems.
Mandatory Qualifications:
Proficiency in either Scalar or Python, expertise in Spark, and experience with performance tuning and optimization. DBT is also Mandatory.
We are looking for a candidate with 2+ years of experience in a Data Engineer role.
Experience with big data tools: HDFS/S3, Spark/Flink,Hive,Hbase, Kafka/Kinesis, etc.
Experience with relational SQL and NoSQL databases, including Elasticsearch and Cassandra/Mongodb.
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Experience with AWS /GCP cloud services
Experience with stream-processing systems: Spark-Streaming/Flink etc.
Experience with object-oriented/object function scripting languages: Java, Scala, etc.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Strong analytic skills related to working with structured/unstructured datasets.
Build processes supporting data transformation, data structures, dimensional modeling, metadata, dependency, schema registration/evolution and workload management.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Experience supporting and working with cross-functional teams in a dynamic environment
Have a few weekend side projects up on GitHub
Have contributed to an open-source project
Have worked at a product company
Have a working knowledge of a backend programming language
Programming Language (Mandatory) → Candidate should be really good in either Scala OR Python (not necessarily both).
Used mainly for writing data pipelines and transformations.
Big Data Framework (Mandatory) → Strong hands-on expertise in Apache Spark.
Must know how to write Spark jobs and also tune/optimize them for better performance (not just basic Spark usage).
Performance Tuning & Optimization (Mandatory) →
Able to handle large datasets efficiently.
Optimize Spark jobs (partitions, shuffles, caching, memory usage, etc.)
DBT (Mandatory) →
Must have hands-on experience with dbt (Data Build Tool) for data transformations and data modeling.
This is often used on top of warehouses like BigQuery, Snowflake, Redshift.
Data Transformation and Cloud Specialist
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Dear Candidate
Greetings from TATA Consultancy Services
Job Openings at TCS
Skill: AWS Data Engineer
Exp range: 6 yrs to 10 yrs
location : Bangalore
Notice period – 30 – 45 days
Pls find the Job Description below.
- Hands-on experience in Pyspark, Glue
- Experience on EMR, S3, IAM, Lambda, Cloud formation, Python
- AMI Rehydration, Python, ELB and other AWS components knowledge
- AWS monitoring setup and building the traffic dashboard and SNOW incidents for AWS related traffic and services
- CI/CD build and deployment support
- Ensure reliability of data pipelines, ETL processes, data transformations
- Identify areas of improvement in data quality processes, propose solutions to enhance data reliability, accuracy
- Implement data quality best practices, optimize data workflows
Must-Have Skills - Python, Pyspark, Hive, Snowflake (S3,Lambda, Glue, EMR and RedShift)
If you are Interested in the above opportunity kindly share your updated resume to immediately with the details below (Mandatory)
Name:
Contact No.
Email id:
Skillset:
Total exp:
Relevant Exp:
Fulltime highest qualification (Year of completion with percentage scored):
Current organization details (Payroll company):
Current CTC:
Expected CTC:
Notice period:
Current location:
Any gaps between your education or career (If yes pls specify the duration):
Will you be able to join within 30/45 days? (Yes/NO)
Is Bangalore location is fine? (Yes /NO)
Implementation Consultant, Data Transformation, SaaS, IT Financial
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- Assist in gathering functional and business requirements from the client and translate them into a functional hosted solution design which meets customer needs, provides maximum solution value, and is within scope of Apptio products/services
- Configure, test, and document Apptio dashboards and underlying data models to meet functional specifications
- Work closely with other analysts and consultants in the organization to leverage skill sets and meet deliverable deadlines
- Provide customer with end user training as needed
- Collaborate with other departments in the company to ensure customer satisfaction and resolve issues in a timely fashion
- Work with the product management and development organization to channel client feedback into future releases of the Apptio product suite
- Work with content management to consolidate commonalities across customers into best practices and product templates
Required education
Bachelor's Degree
Preferred education
Bachelor's Degree
Required technical and professional expertise
Business Domain Focus
2+ years of general understanding of basic financial concepts such as general ledger, budget, forecast and cost
General understanding of IT infrastructure concepts such as server, storage, virtualization and software applications
Technical Domain Focus
Experience with Apptio tool and certification
Experience with data dictionaries, data analysis and relational databases
Skilled at working with large data sets, quickly detecting and resolving data-related issues
Skilled at completing technical design via iterative mockups
Basic programming skills and data analytics e.g. HTML, SQL, Excel, Access, Business Objects, etc.
Preferred technical and professional experience
- Self-starter able to come up to speed on complex, difficult concepts with minimal assistance
Team player with solid communication and presentation skills
Ability to breakdown complex information into simple solution requirements
Strong to expert skills in data analysis/manipulation
Knowledge of enterprise IT organizational, business, and technical environments
Strong English written/ oral skills
Data & AI Transformation Leader
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Job Title: Executive Director – Data & AI
Location: Bangalore, India
Industry: Banking & Financial Services (BFSI)
Experience: 20+ years
Reporting To: Global Head – Data & AI / BFS Portfolio
Role Overview:
The Executive Director – Data & AI will be responsible for leading large-scale technology delivery and digital transformation programs across global Banking and Financial Services clients. This role requires a visionary leader with deep expertise in Data, AI/ML, Cloud, and Digital Banking transformation. The ideal candidate will oversee delivery governance, manage client relationships at the executive level, and drive innovation and operational excellence across a multi-million-dollar portfolio.
Key Responsibilities
Delivery Management
- Lead end-to-end delivery across large and complex Data & AI programs within the Banking & Finance sector.
- Manage a multi-portfolio P&L exceeding USD 10–15 million, ensuring profitability, efficiency, and delivery excellence.
- Establish governance, risk management, and escalation frameworks for all active engagements.
- Drive adoption of emerging technologies including Data on Cloud, AI/ML, API & Microservices, and DevOps to enhance delivery outcomes.
- Continuously improve delivery frameworks, tools, and methodologies to achieve operational efficiency.
Stakeholder Management
- Act as the strategic advisor and single point of contact for C-level executives (CIO, CTO, COO) across client organizations.
- Build and nurture strong client relationships, ensuring solutions are aligned with strategic business objectives.
- Conduct quarterly business reviews to drive satisfaction, account growth, and long-term partnerships.
Consulting & Advisory
- Provide expert consulting in Data & AI transformation, digital banking modernization, and core banking evolution.
- Guide clients through their cloud, automation, and data modernization journeys.
- Identify innovation opportunities and define transformation roadmaps leveraging AI, ML, and advanced analytics.
Sales & Business Development
- Drive business growth through pre-sales support, solution design, and proposal development.
- Engage in client presentations, RFP responses, and portfolio expansion initiatives through upselling and cross-selling.
- Collaborate with sales and account teams to develop strategic go-to-market plans for Data & AI offerings.
P&L and Financial Management
- Own and manage the financial health of the portfolio including revenue, margin, and cost optimization.
- Ensure all engagements meet or exceed financial targets while maintaining delivery quality.
- Identify and execute cost-saving opportunities through automation and process optimization.
Team Leadership & Development
- Lead, coach, and inspire a global team of project managers, consultants, architects, and data professionals.
- Foster a culture of innovation, learning, and collaboration across delivery units.
- Oversee workforce planning, competency building, and talent retention initiatives.
Innovation & Process Excellence
- Champion modernization initiatives through AI/ML, Cloud, and DevOps transformation programs.
- Drive enterprise-wide process automation, digital platform transformation, and operational excellence initiatives.
- Promote the adoption of open-source technologies and best practices in data governance and security.
Required Qualifications
Education:
- Bachelor’s degree in Computer Science, Information Technology, or Engineering.
- Executive Program in Business Analytics (EPBA) – IIM Calcutta.
- M.Tech (Gold Medalist) and B.E. from IIEST Shibpur.
- MBA or equivalent management education preferred.
Experience:
- 20+ years of experience in IT Services / Management Consulting.
- Minimum 10 years in senior technology leadership roles managing global BFSI clients.
- Proven track record in managing large portfolios (USD 10–30M) with end-to-end P&L ownership.
- Hands-on experience in Data, AI/ML, Cloud, and Digital Banking transformation.
- Strong background in consulting, solutioning, and managing enterprise-wide transformation engagements.
- Extensive experience working with global clients across Americas, EMEA, and APAC.
Key Skills & Competencies
- Leadership & Strategy: Ability to define vision and strategy for large-scale Data & AI transformation.
- Client Management: Proven success managing CXO relationships and driving business outcomes.
- Banking & Financial Expertise: In-depth understanding of retail, commercial, and transaction banking systems.
- Technical Acumen: Strong exposure to Data on Cloud, AI/ML, Automation, API/Microservices, DevOps, and Agile delivery.
- P&L Management: Skilled in managing high-value portfolios and achieving revenue and profitability targets.
- Innovation Mindset: Passion for driving transformation through data-driven insights and technology modernization.
- Communication: Excellent verbal and written communication;
strong influencing and negotiation skills.
Preferred
*Published thought leadership, patents, or whitepapers in the Data & AI domain.
*Active involvement in data and AI industry forums or professional networks.
Manager Data Management
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Role Description:
We are seeking an experienced Data Management Expert with expertise in Enterprise Data Management (EDM), Master Data Governance, and Data Quality to support the design and implementation of a Comprehensive EDM Framework. The role requires deep expertise in master data management (MDM), data governance, cleansing, enrichment, migration, and process automation across ERP systems like SAP ECC/S4HANA and other enterprise platforms.
Key Responsibilities:
- Develop and implement EDM frameworks based on DAMA, CMMI, DCAM, and industry best practices.
- Conduct data maturity assessments to evaluate the current state and identify improvement areas.
- Define master data governance policies and implement data standards for Vendor Master, Customer Master, Material Master, and Pricing Master data.
- Establish and manage data quality frameworks, including profiling, cleansing, enrichment, deduplication, and validation techniques to ensure accuracy.
- Implement metadata management strategies, including metamodels, data catalogs, lineage tracking, and glossaries.
- Develop and maintain data models (conceptual, logical, and physical) for enterprise-wide data consistency.
- Define and monitor KPIs for data quality, ensuring compliance with business and regulatory standards.
- Collaborate with cross-functional teams (IT, finance, procurement, operations) to align data management objectives.
- Lead tool evaluations for data governance, MDM, metadata, and lineage platforms.
- Assist in automating manual data processes and workflows, enhancing operational efficiency and reducing errors.
- Experience in setting up and operationalization of a centralized Data Management Office (DMO).
Key Tools & Technologies:
- ERP : SAP ECC/S4HANA
- Data Governance, Metadata & Quality Tools: Informatica, Talend, Alation, MS Purview, Collibra, Axon etc (exp of one of the tools is required, collibra preferred)
- BI & Analytics: Power BI, Snowflake, Azure, Hive (not mandatory)
- Data Integration & ETL: APIs, middleware, data lakes, ETL tools. (preferred)
Preferred Qualifications:
- Education: Bachelor's/Master's degree in Computer Science, Information Systems, Data Management, or a related field.
- Certifications: Certified Data Management Professional (CDMP), SAP MDG certification, Lean Six Sigma (preferred).
Experience:
- 5 to 12 years in enterprise data management, data governance, and MDM.
- Industry/consulting experience working with supply chain, procurement, finance, and vendor/customer data management domains is a plus.
Industry
- Preferred industry experience – Banking and Financial Services
Data Management Associate
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JOB DESCRIPTION
Join our team as a Data Lineage Specialist and play a crucial role in ensuring data transparency and compliance. You'll have the opportunity to grow your career while applying your skills in data management and governance. Be part of a dynamic team committed to excellence and innovation, where your contributions will make a significant impact.
As a Data Management Associate - Lineage Specialist at JPMorgan Chase within the Office of the Chief Data Officer (CDO) – SGO, you will track and document data flow across various systems, ensuring data transparency and compliance. You will work closely with data owners to maintain accurate data lineage records and support data governance initiatives. Your role is vital in adhering to firmwide guidelines for Data Risk and Management policies, contributing to the organization's success.
Job Responsibilities:
- Develop and maintain comprehensive data lineage documentation for all data assets.
- Register lineage for applications in the lineage tool.
- Ensure compliance with data governance policies and regulatory requirements.
- Analyze data lineage to identify potential data quality issues.
- Provide insights to enhance data management practices.
- Support data governance initiatives with accurate lineage information.
- Manage the organization's data glossary and dictionary and collaborate with data owners to understand data flow and dependencies.
- Focus on data tiering strategies to optimize data storage and retrieval.
- Conduct training sessions on data lineage concepts and tools.
- Maintain best practices for data controls and work with Risk Control Managers and contribute to the Firmwide working Group for data controls implementation.
Required Qualifications, Capabilities and Skills:
- Bachelor's degree in Computer Science, Information Technology, Data Management, or related field.
- 2+ years of experience in Data Lineage, Data Cataloguing, Data Tiering, Data Quality, or Data Governance.
- Excellent analytical and problem-solving skills.
- Proficiency in manipulating and analyzing large data sets in Excel.
- Familiarity with PowerPoint basics.
- Experience with data lineage governance tools like Collibra or Informatica Data Catalog.
- Excellent written and verbal communication skills.
- Strong interpersonal skills and ability to build relationships.
- Self-starter with strong time management skills.
Preferred Qualifications, Capabilities and Skills:
- Certification in data management or data governance (e.g., CDMP, DGSP).
- Experience with data lineage governance tools is useful.
- Ability to quickly learn and assimilate business and technical knowledge.
- Basic understanding of the company's business practices and familiarity with the company's products and services.
ABOUT US
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
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Data Management Coordinator
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Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
What You'll DoWe are looking for a Data Management Coordinator to join our growing team, supporting the Human Resources Data Management team. As a key part of our broader People Technology and Operations team, this individual will work across HR to maintain and ensure the integrity of our employee data. In this role, you will have a direct impact on the data used for business decisions, compliance, and employee satisfaction.
This position is an individual contributor role reporting to the Lead, Data Management.
Responsibility
- Collaborate with global cross-functional teams, and external vendors to operationalize and execute employment data and related processes
- Audit employee and contingent worker changes in HR systems including but not limited to hiring, data changes, promotions, leaves of absence and terminations to maintain the highest level of data integrity of employee records
- Contribute to projects that enable operational efficiency and improve data integrity
- Recommend, and document improvements on current Data Management methodologies, analytics, technologies, and processes
- Assist with SOX control audits, including evidence collection, data auditing, monitoring, testing, and process review
- Work with increased autonomy, and collaborate with team mates for decisions and approvals for implementations
- May be required to come to the office for meetings or other responsibilities
- Perform other ad hoc responsibilities based on business needs
Hybrid:
Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.
What You BringBasic
- 2+ years of HR related work experience in a high growth organization
- Experience with Workday or other HCM Systems
- Fluent in English both verbal and written communications
Preferred
- Bachelor's degree in business administration, Human Resources, or related field
- Ability to work independently with minimal supervision
- Experience with ServiceNow HR Ticketing system
- Experience with Google Workspace, including Google Slides, Google Sheets, etc
- Ability to prioritize multiple tasks and projects with speed, excellent customer service, confidentiality and high attention-to-detail
- Knowledge and hands on experience of various HR and People Operations processes
- Ability to think outside of the box and work in a fast paced, high transaction volume, shifting, non-structured environment
- Ability to exercise good judgment and discretion, maintaining confidentiality when required
- Self-directed problem solver with a desire to contribute to the organization and department's success
Working here
Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what's right, every day. At Docusign, everything is equal.
We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you'll be loved by us, our customers, and the world in which we live.
Accommodation
Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at
If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at for assistance.
Our global benefitsPaid time off
Take time to unwind with earned days off, plus paid company holidays based on your region.
Paid parental leaveTake up to six months off with your child after birth, adoption or foster care placement.
Full health benefitsOptions for 100% employer-paid health plans from day one of employment.
Retirement plansSelect retirement and pension programs with potential for employer contributions.
Learning & developmentGrow your career with coaching, online courses and education reimbursements.
Compassionate care leavePaid time off following the loss of a loved one and other life-changing events.
Product data management
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• Minimum 2 - 6 years' work experience in product data management activities
• Basic understanding of Automobile vehicles
• Experience working in a process-orientated workflow environment.
• Engineering Degree in the areas of Automobile
Employee data management
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Min 3yrs of Exp required in HRO Domain
(hire to retire, leave of absence, Employee data management)
Bangalore
US Shifts
Graduates
Salary goes upto 15lpa depends on last drawn salary (30% hike)
Contact :
Required Candidate profile
Need good knowledge of Employee life cycle, hire to retire, leave of absence, Employee data management.
Need Immediate Joiners
Need Excellent Communications skills