3,023 Data Transfer jobs in India
Lead Data Engineer – Transfer Solutions
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The Role
We are looking for an experienced Data Engineer to design and develop advanced data migration pipelines from traditional OLTP databases (e.g., Oracle) to modern big data platforms such as Cloudera and Databricks. The ideal candidate will possess expertise in technologies such as Python, Java, Spark, and NiFi, along with a proven track record in managing data pipelines for tasks including initial snapshot loading, building Change Data Capture (CDC) pipelines, exception management, reconciliation, data security, and retention. This role also demands proficiency in data modeling, cataloging, taxonomy creation, and ensuring robust data provenance and lineage to support governance and compliance requirements.
Key Responsibilities
- Design, develop, and optimize data migration pipelines from OLTP databases like Oracle to big data platforms, including Cloudera CDP/CDH and Databricks.
- Build scalable ETL workflows using tools like Python, Scala, Apache Spark, and Apache NiFi to support initial snapshots, CDC, exception handling, and reconciliation processes.
- Implement data security measures, such as encryption, access controls, and compliance with data retention policies, across all migration pipelines.
- Develop and maintain data models, taxonomy structures, and cataloging systems to ensure logical organization and easy accessibility of data.
- Establish data lineage and provenance to ensure traceability and compliance with governance frameworks.
- Collaborate with cross-functional teams to understand data migration requirements, ensuring high-quality and timely delivery of solutions.
- Monitor and troubleshoot data pipelines to ensure performance, scalability, and reliability.
- Stay updated on emerging technologies in data engineering and big data ecosystems, proposing improvements to existing systems and processes.
Required Skills And Qualifications
- 10+ years of experience in data engineering, with at least 2 years in a leadership or technical lead role.
- Proficiency in OLTP databases, particularly Oracle, and data egress techniques.
- Strong programming skills in Python, Scala and Java.
- Expertise in Apache Spark, Flink, Kafka and data integration tools like Apache NiFi.
- Hands-on experience with Cloudera Data Platform CDP/CDH, Apache Ozone
- Familiarity with cloud-based big data ecosystems such as AWS Databrick, S3, Glue etc
- Familiarity with patterns such as Medallion, data layers, datalake, datawarehouse, experience in building scalable ETL pipeline, optimizing data workflows, leveraging platforms to integrate transform, and store large datasets.
- Knowledge of data security best practices, including encryption, data masking, and role-based access control.
- Exceptional problem-solving and analytical abilities
- Strong communication and leadership skills, with the ability to navigate ambiguity and collaborate effectively across diverse teams.Optional – Awareness on regulatory compliance requirements for data handling and privacy
- Education: Bachelor's or Master's degree in Computer Science
Skills Required
Data Security, Scala, Apache Spark, Python
Data Processing -Transfer Agency - Manager
Posted today
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Responsibilities
:Required Qualifications & Experience:
Other Role Requirements:
About State Street
What we do.
State Street is one of the largest custodian banks, asset managers and asset intelligencepanies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
Work, Live and Grow.
We make all efforts to create a great work environment. Our benefits packages arepetitive andprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You'll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.
Job ID R-773812
Data Processing -Transfer Agency - Manager
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Job Description
for Dealing process – Officer RoleWe are seeking a highly motivated and experienced professional to manage the Dealing team within the Transfer Agency (TA) function. The role involves overseeing the trade booking, managing Forex trade, sending the predictions and actual cashflow reports, trade settlement and manual payments. The ideal candidate will possess a deep understanding of TA Dealing workflows, people management skills, and a client-focused mindset.
Key Responsibilities:
Lead and manage the day-to-day operations of the dealing team, ensuring all transactions are processed within deadlines and according to fund documentation.
Ensure timely and accurate communication of predictions and actual cash flows with fund managers and custodians.
Ensure timely execution of Forex rates.
Ensure Settlement of trades are done within the global currency cut off.
Coordinates with different functions of Transfer Agency E.g., Registration, Settlement and Setup to resolve any queries arises during trade processing.
Ensure prices are received from Fund accounting team within the deadlines, review and approve the daily NAVs before release to clients.
Oversee the integrity and accuracy of pricing data sourced from FA and internal systems.
Completion of task and activities as per SLA.
Act as an escalation point for complex processes.
Maintain a strong control environment with effective procedures, checklists, and exception handling.
Monitor and report key performance indicators (KPIs) and risk metrics.
Train, coach, and develop team members to ensure consistent performance and adherence to policies.
Participate in audits, regulatory reviews, and due diligence requests.
Implement process improvements to enhance operational efficiency and reduce risk.
Collaborate with technology teams to drive automation and system enhancements
Building and maintaining client relationships through regular meetings, forums, ensuring effective communication and client satisfaction
Prepare documentation for internal and external audits as well as for client due diligence visits.
Prepare monthly Management Information reporting as well as the KPIs.
Ensure strict adherence to internal rules, policies and procedures.
Required Qualifications & Experience:
Graduate/ Post Graduate in Commerce, Finance, or equivalent discipline.
8+ years of experience in Financial Services, preferably in Transfer Agency Operations
Good working knowledge of Financial products i.e. SICAVS, ETF, Money Markets.
Experience in working to tight deadlines, with an ability to multi task and to work calmly under pressure
Working knowledge of MS Office; exposure to TA platforms preferred
Executive presence, managing with influence and effective communication across stakeholder groups both regionally and globally
Result oriented with strong ability for accountability and proactive work ethic, problem solver and positive attitude
Other Role Requirements:
Shift Flexibility: Willingness to work in night shift
Mobility: Open to short-term travel or relocation to other office locations as needed for business or training
People Management Potential: Ability to lead by example, guide junior staff, and coordinate work allocations
Work Environment: High-volume, deadline-driven, team-oriented setup
Commercial acumen - Understanding of cost/budgets
Drive pay for performance and culture of performance differentiation
Embed risk excellence culture across the teams
Encourage and drive a culture of change and ideation
About State Street
What we do.
State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
Work, Live and Grow.
We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You’ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.
Discover more at StateStreet.com/careers
Data Processing -Transfer Agency - Assistant Vice President
Posted today
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Job Description
Responsibilities
:Required Qualifications & Experience:
Other Role Requirements:
About State Street
What we do.
State Street is one of the largest custodian banks, asset managers and asset intelligencepanies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
Work, Live and Grow.
We make all efforts to create a great work environment. Our benefits packages arepetitive andprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You'll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.
Job ID R-773811
Data Management - Data Scientist
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Job Description
Data Management (Data Scientist)
The opportunity
EY's global enterprise technology group provides various enabling services (ERP, infrastructure, platforms, service desk) to assist over 300K employees in creating and delivering solutions and services to Fortune 500, privately held and government-like entities.
The Data Scientist will be responsible for leveraging the data lake to drive advanced analytics and predictive modelling initiatives. This role requires a combination of statistical expertise, machine learning knowledge, and the ability to derive insights from large volumes of complex data. The Data Scientist will work closely with business stakeholders to understand their challenges and develop data-driven solutions.
Key responsibilities
- Develop and implement machine learning models and algorithms to analyze large datasets within the data lake.
- Collaborate with business stakeholders to identify opportunities for leveraging data to drive business solutions.
- Perform exploratory data analysis to understand underlying patterns, correlations, and trends.
- Design and execute experiments to test hypotheses and validate data-driven insights.
- Create predictive models for forecasting, classification, clustering, and optimization problems.
- Interpret and communicate findings to technical and non-technical audiences through clear visualizations and reports.
- Integrate advanced analytics into end-user applications and business processes.
- Maintain up-to-date knowledge of data science techniques, tools, and best practices.
- Mentor junior data scientists and analysts, and contribute to the team's skill development.
- Ensure adherence to data privacy and security guidelines when handling sensitive information.
Skills and attributes for success
- A self-starter, independent-thinker, curious and creative person with ambition and passion. This individual should possess a combination of technical skills, analytical abilities, and leadership attributes
To qualify for the role you must have
- Relevant Experience: 3-4 years of experience in a data science role, with a proven track record of developing and deploying machine learning models.
- Machine Learning: Strong understanding of machine learning techniques and algorithms, such as regression, classification, clustering, neural networks, and natural language processing.
- Programming Languages: Proficiency in programming languages commonly used in data science, such as Python, R, or Scala.
- Data Analysis Tools: Experience with data analysis and visualization tools/libraries like Pandas, Matplotlib, Seaborn, or equivalent.
- Big Data Technologies: Familiarity with big data technologies and frameworks such as Hadoop, Spark, or Databricks.
- Statistical Analysis: Solid foundation in statistical analysis and the ability to apply statistical methods to solve real-world problems.
- Data Wrangling: Skills in data preprocessing, cleaning, and wrangling to prepare data for analysis.
- Deep Learning: Knowledge of deep learning frameworks like TensorFlow or PyTorch is a plus.
- Collaboration and Communication: Ability to work effectively in a team environment and communicate complex concepts to non-technical stakeholders.
- Problem-Solving: Excellent problem-solving skills with the ability to think critically and creatively in a data-driven approach.
- Version Control and Collaboration Tools: Familiarity with version control systems like Git and collaboration tools such as Jupyter Notebooks or Databricks notebooks.
Ideally, you'll also have
What we look for
- Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.
- Data science or any other relevant certification is preferred
- PowerBI or any other reporting platform experience is a must
- Knowledge on Power Automate, Qlik View , or any other reporting platform is an added advantage
- IT IL Foundation certification is preferred
What we offer
As part of this role, you'll work in a highly integrated, global team with the opportunity and tools to grow, develop and drive your career forward. Here, you can combine global opportunity with flexible working. The EY benefits package goes above and beyond too, focusing on your physical, emotional, financial and social well-being. Your recruiter can talk to you about the benefits available in your country. Here's a snapshot of what we offer:
- Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.
Skills Required
Matplotlib, Pandas, Hadoop, Spark, Python
Data Management Lead
Posted 3 days ago
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Job Description
**Job Description**
**Job Overview:**
We are seeking a highly skilled and experienced Data Management Lead with expertise in data management principles, cloud technologies (AWS, Databricks, Informatica, etc.), software engineering practices, and system design and architecture. The ideal candidate will also have leadership experience managing a team of ~10 individuals and driving best practices in data management and engineering.
**Responsibilities:**
+ Lead and manage a data management team of ~10 members, fostering growth and collaboration.
+ Oversee the design, implementation, and maintenance of data infrastructure and pipelines.
+ Ensure adherence to data management principles, including data quality, governance, and security.
+ Utilize cloud platforms like AWS, and tools such as Databricks & Informatica for data processing and storage solutions.
+ Apply software engineering best practices, including DevOps, Infrastructure as Code (IaC), and testing automation, to streamline workflows.
+ Design scalable and robust system architectures aligned with business needs.
+ Collaborate with cross-functional stakeholders to ensure the seamless integration of data systems.
+ Monitor and optimize system performance, reliability, and cost-effectiveness.
**Skills & Qualifications:**
+ Bachelor's or Master's degree in Computer Science, Information Technology, or related fields.
+ 8+ years of experience in data management, with a strong understanding of cloud-based technologies like AWS, Databricks, and Informatica.
+ Expertise in software engineering best practices such as IaC, DevOps pipelines, and comprehensive testing methods.
+ Experience in system design & architecture, including distributed systems and integration patterns.
+ Proven ability to lead and manage a team (~10 people), fostering an inclusive and high-performance culture.
+ Strong problem-solving, communication, and stakeholder management skills.
+ Strong expertise in data integration, data modeling, and modern database technologies (Graph, SQL, No-SQL) and AWS cloud technologies
+ Extensive experience in DBA, schema design & dimensional modeling, and SQL optimization.
+ Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams.
**Preferred Skills:**
+ Certifications in AWS, DevOps, Data Engineering, or related technologies.
+ Familiarity with Agile methodologies and tools.
+ Knowledge of modern data governance frameworks and strategies.
**Locations**
IND - Bengaluru
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time
Apprentice - Data Management
Posted 3 days ago
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Job Description
Primary function
This role offers exposure to a wide range of responsibilities, including hands-on experience with enterprise-grade platforms, mentorship from experienced professionals, and opportunities to contribute to impactful projects
Job Responsibilities
- Support and build data systems and pipelines, monitor and enhance data flows, and work with tools such as Azure Data Factory, Snowflake, and Power BI.
- Troubleshooting issues, incident response
- Developing data visualizations/reports.
- Supporting maintenance work on Data & Analytics platform ensuring platform stability.
- Automation of metrics measurement
- User management and access provisioning
- Azure Subscription security score maintenance, Patching, auditing
**Qualifications:**
- Bachelor's degree in computer science, Information Technology, or a related field.
- 0 to 2 years IT experience
**Skills:**
Preferred
- Exposure to data analytics or data engineering concepts.
- Experience with ticketing systems like Jira or ServiceNow.
Technical skills
- Strong SQL Knowledge - ability to write and troubleshoot SQL queries
- Exposure to cloud - Azure, AWS
- Awareness of AI/ML concepts
- Python - familiarity with scripting and automation tasks
- Version Control (Git) - understanding of basic Git operations
- Data Visualization tool knowledge - Power BI preferred.
Soft Skills:
- Strong problem-solving and analytical thinking.
- Good communication and interpersonal skills.
- Eagerness to learn and grow in a fast-paced environment.
- Ability to work collaboratively in a team setting.
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Manager Data Management
Posted 3 days ago
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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
Master Data Management
Posted 4 days ago
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Job Description
DGO/Master Data Steward/Master Data Management
Work Location: Manyata Tech Park, Bangalore
Shift Timing: Rotational Shifts
Exp: 1 to 5 yrs
SAP Exp is a must
Job Description:
· Create and maintain master data attributes for customers, suppliers, parts, solutions, and items.
· Work as part of the Master Data Governance team to recommended changes to improve process efficiencies, ensuring timely and professionally communication to users, management, and senior leadership with repetitive issues
· Interface with cross-functional teams to validate adherence to master data policies and correct non-adherence where appropriate
· Perform validation and corrections via audit reports to ensure standardization daily
· Application of best business practices for mass data updates as appropriate
· Serve as a subject matter expert (SME) in the DGO operations
· Develop standard procedures, user guides and other necessary training and job aid materials, along with provide training as needed
· Utilize analytical skills to identify trends
· Performs other duties as assigned based on business needs.
· Becomes a Change Ambassador, promoting and ensuring adoption of new processes or implementations across Black Box.
· Ensure that only approved and valid changes are allowed into a production environment
Education/Experience Requirements
· Bachelor’s Degree in related fields or related experience, preferred
· 3 years relevant experience in data management and analysis or other related fields
· Prefer knowledge of SAP Item Master Data Management
· Experience with computer system validation and validated testing is a plus
· Experience in working with an ERP Master Data Add, Changes, Deletes
Interested individuals can share resume to
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Manager Data Management
Posted today
Job Viewed
Job Description
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