327 Power Bi Developers jobs in Bengaluru
Data Visualization Designer
Posted 10 days ago
Job Viewed
Job Description
Location: India - Pune, Hyderabad or Bengaluru
Company: Foolproof, a Zensar Company
Note: This is a contractor role
Note: you will be required to work Central US hours with a 6 hour overlap
About Us
Foolproof is an experience design company, part of Zensar Technologies, that helps organizations create digital products and services that people love to use. With a focus on human-centered design, we combine creativity, research, and technology to solve complex challenges. As part of Zensar, we bring global scale, diverse talent, and cutting-edge technology capabilities to our design-led approach.
The Role
We are looking for a Data Visualization Designer who can transform complex information into clear, compelling, and human-centered visual stories. You’ll work closely with designers, researchers, strategists, and engineers to craft data-driven narratives that support better decision-making and enhance user experiences.
What You’ll Do
- Translate data and insights into intuitive, engaging, and meaningful visualizations.
- Design dashboards, interactive visuals, and storytelling tools for a range of audiences (internal teams, clients, and end-users).
- Collaborate with UX and UI designers to ensure visualizations integrate seamlessly into digital products and experiences.
- Partner with data scientists, analysts, and developers to understand datasets, define requirements, and bring concepts to life.
- Apply design thinking principles to make data accessible, inclusive, and actionable.
- Stay up-to-date with emerging tools, trends, and best practices in data visualization and design.
What We’re Looking For
- Strong portfolio showcasing data visualization, dashboard design, or interactive storytelling.
- Experience with tools such as Tableau, Power BI, D3.js, Figma, or similar.
- Strong understanding of information design, data literacy, and visual hierarchy.
- Experience designing for both technical and non-technical audiences.
- Ability to simplify complexity, communicate clearly, and think creatively about presenting information.
- Knowledge of accessibility best practices in data visualization.
- Excellent collaboration and communication skills.
Nice to Have
- Experience working in consultancy, agency, or product design environments.
- Understanding of user research and how insights shape design.
Data Visualization Expert
Posted today
Job Viewed
Job Description
We are looking for an experienced Data Visualization Expert who can also build optimal data pipelines to join our AI and Analytics team, which delivers solutions for HP Inc.’s Global Treasury and other Finance departments.
Key Responsibilities:
1. Work closely with senior stakeholders to gather business requirements and understand their business problems.
2. Design and build the architecture from Federated Data Lake to Power BI visualization.
4. Build data models, clean and process data in SQL databases.
5. Develop optimized data models and dynamic, user-friendly visualizations in Power BI.
6. Build modular, scalable data pipelines using Databricks, from data lake to visualization.
7. Collaborate with the cyber security team to ensure approvals for all projects.
8. Utilize GitHub for secure code sharing and team collaboration.
9. Mentor and coach other data visualization experts and data engineers.
Skills Required:
1. Expertise in Power BI, including DAX queries.
2. Proficient in SQL for data cleaning, processing, and modeling.
3.Experience leading end-to-end data visualization projects.
4. Skilled in Databricks or similar AI/Analytics platforms.
5. Strong ability to build optimized data models in both SQL and Power BI.
6. Knowledge of security best practices and working with cyber security teams.
Li-Post
Senior Data Visualization Engineer ...
Posted today
Job Viewed
Job Description
Work along with solution architect in RFI / RFP response solution design, customer presentations, demonstrations, POCs, etc. for growth.
Provide best practices for data visualization and Tableau implementations.
Partner with business information architects to understand the business use cases that support and fulfill business and data strategy.
simplify complex situations and ideas and distill them into compelling and effective written and oral presentations.
develop dashboards and data sources that meet and exceed customer requirements.
understand and rapidly comprehend new areas, functional and technical, and apply detailed and critical thinking to customer solutions.
Work as a member and lead teams to implement Tableau solutions for our customers.
Candidate should have:
Experience with Tableau Prep and/or Tableau Prep Conductor a plus.
Experience with Tableau Server or Online preferred.
Applied experience in Agile development processes (SCRUM)
Ability to independently learn new technologies and data related
Portfolio to demonstrate the work products highly preferred
Strong understanding of SQL and basic understanding of programming languages; experience with SAQL, SOQL, Python, or R a plus.
Ability to architect and scope complex projects.
5+ years of experience in Tableau consulting role, working with Enterprise customers.
7+ years full-time experience in BI.
B.S. or equivalent degree in computer science, statistics, mathematics, or other relevant fields.
AVP - Data Visualization [T500-19721]
Posted 18 days ago
Job Viewed
Job Description
About Us:
MUFG Bank, Ltd. is Japan’s premier bank, with a global network spanning in more than 40 markets. Outside of Japan, the bank offers an extensive scope of commercial and investment banking products and services to businesses, governments, and individuals worldwide. MUFG Bank’s parent, Mitsubishi UFJ Financial Group, Inc. (MUFG) is one of the world’s leading financial groups. Headquartered in Tokyo and with over 360 years of history, the Group has about 120,000 employees and offers services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing. The Group aims to be the world’s most trusted financial group through close collaboration among our operating companies and flexibly respond to all the financial needs of our customers, serving society, and fostering shared and sustainable growth for a better world. MUFG’s shares trade on the Tokyo, Nagoya, and New York stock exchanges.
MUFG Global Service Private Limited:
Established in 2020, MUFG Global Service Private Limited (MGS) is 100% subsidiary of MUFG having offices in Bengaluru and Mumbai. MGS India has been set up as a Global Capability Centre / Centre of Excellence to provide support services across various functions such as IT, KYC/ AML, Credit, Operations etc. to MUFG Bank offices globally. MGS India has plans to significantly ramp-up its growth over the next 18-24 months while servicing MUFG’s global network across Americas, EMEA and Asia Pacific.
About the Role:
Position Title: Assistant Vice President
Corporate Title: Assistant Vice President
Reporting to: Vice President
Location: MESI - Bengaluru
Job Profile:
Data Services Layer Engineer who will lead, plan, design and implement data integration solutions for On-prem data warehouses / data marts and cloud data platform including subject area marts and interfaces to downstream applications. The ideal candidate will be an adaptable project lead who will have a technical background coupled with proficient business acumen to enable them to draw and effectively communicate meaningful business conclusions and insights from a wide variety of data sources and structures. In this role you will lead/support the delivery of Enterprise Data Services related projects focused on enabling data aggregation from disparate sources or systems, reconciliations, and adjustments. Responsibilities include owning the development, roll out, and testing of data integration solutions by working closely with ETL and BI development teams, project, and product managers to manage IT stakeholder relationships, set and execute against project milestones, and manage quality, client satisfaction, and engagement throughout the implementation life cycle.
Position details:
Roles and Responsibilities:
- Manage data analysis and data integration of disparate systems.
- Create a semantic layer for data virtualization that connects to heterogeneous data repositories.
- Develop reports and dashboards using Tableau, Power BI, or similar BI tools as assigned.
- Assist Data Management Engineering Team (either for Data Pipelines Engineering or Data Service & Data Access Engineering) for ETL or BI Design and other framework related items.
- Work with business users to translate functional specifications into technical designs for implementation and deployment.
- Extract, transform, and load large volumes of structured and unstructured data from various sources into AWS data lakes or modern data platforms like Snowflake.
- Assist with Data Quality Controls as assigned.
- Work with cross functional team members to develop prototypes, produce design artifacts, develop components, perform, and support SIT and UAT testing, triaging and bug fixing.
- Resolve issues and defects in a timely manner and ensure quality deliverables.
- Optimize data integration platform to provide optimal performance under increasing data volumes.
- Develop data integration standards according to the organization’s information services policies as well as best practices.
- Conduct review of other integration developers’ development efforts to ensure consistent methodologies are followed and to make recommendations where necessary.
- Experience working with Agile teams and JIRA.
- Ensure high quality and optimum performance of data integration systems to meet business solutions.
Job Requirements:
- Bachelor’s Degree (or foreign equivalent degree) in Information Technology, Information Systems, Computer Science, Software Engineering, or a related field. Experience in the financial services or banking industry is preferred.
- 8+ years of experience with leading design, development, and optimization of dashboards and reports using Power BI, Tableau, and other reporting platforms.
- 5+ years of experience with integration of BI tools with data warehouses / lakes (e.g. Snowflake), along with strong knowledge of Data Modelling, UX/UI for Dashboards.
- 3+ years of experience with migration of reports from legacy platforms.
- 5+ years of experience with data virtualization, data mesh, data fabric, and federated querying platforms such as Denodo, Starburst or OSS platforms are highly desirable.
- 3+ Years of experience working as a Data Engineer, with a focus on building data pipelines and processing large datasets.
- 5+ Years of strong proficiency in AWS services, including AWS Glue, Redshift, EMR, RDS, Kinesis, S3, Athena, DynamoDB, Step Functions and Lambda.
- 2+ Years of Expertise in dealing with data pipelines associated with modern data platforms such as snowflake.
- Solid understanding of data modeling, database design, and ETL principles.
- Experience working with data lakes, data warehouses, and distributed computing systems.
- Familiarity with data governance, data security, and compliance practices in cloud environments.
- Exposure to Data Virtualization tools such as Starburst, Dremio or Denodo is a plus.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- AWS / Snowflake / Power BI / Tableau certifications are a plus.
- Business Acumen: 15%: Knowledge of Banking & Financial Services Products (such as Loans, Deposits, Forex, etc.). Knowledge of Operational / MIS Reports, Risk and Regulatory Reporting for a US Bank is a plus.
- Data Skills: 25%: Must have proficiency in Data Warehousing concepts, Data Lake & Data Mesh concepts, Data Modeling, Databases, Data Governance, Data Security / Protection, and Data Access.
- Tech Skills: 50%: See above
- Human Skills: 10%: Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
Technical Skills:
- BI Tools: Power BI (Desktop, Service), Tableau (Desktop, Server, Online, Prep).
Advanced: DAX (Good to have):
- Data Modelling: Star & Snowflake Schema, Composite Models, RLS, Data Blending
- Cloud Technology: AWS (Redshift, S3, Athena) , Storage – S3 Buckets
- Virtualization Layer: Denodo, Dremio, Starburst
- AWS Cloud technology stack (EMR, Redshift, HiveQL, Glue, RDS, etc.)
- Databases: SQL Server, Oracle
AVP - Data Visualization [T500-19721]
Posted 4 days ago
Job Viewed
Job Description
About Us:
MUFG Bank, Ltd. is Japan’s premier bank, with a global network spanning in more than 40 markets. Outside of Japan, the bank offers an extensive scope of commercial and investment banking products and services to businesses, governments, and individuals worldwide. MUFG Bank’s parent, Mitsubishi UFJ Financial Group, Inc. (MUFG) is one of the world’s leading financial groups. Headquartered in Tokyo and with over 360 years of history, the Group has about 120,000 employees and offers services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing. The Group aims to be the world’s most trusted financial group through close collaboration among our operating companies and flexibly respond to all the financial needs of our customers, serving society, and fostering shared and sustainable growth for a better world. MUFG’s shares trade on the Tokyo, Nagoya, and New York stock exchanges.
MUFG Global Service Private Limited:
Established in 2020, MUFG Global Service Private Limited (MGS) is 100% subsidiary of MUFG having offices in Bengaluru and Mumbai. MGS India has been set up as a Global Capability Centre / Centre of Excellence to provide support services across various functions such as IT, KYC/ AML, Credit, Operations etc. to MUFG Bank offices globally. MGS India has plans to significantly ramp-up its growth over the next 18-24 months while servicing MUFG’s global network across Americas, EMEA and Asia Pacific.
About the Role:
Position Title: Assistant Vice President
Corporate Title: Assistant Vice President
Reporting to: Vice President
Location: MESI - Bengaluru
Job Profile:
Data Services Layer Engineer who will lead, plan, design and implement data integration solutions for On-prem data warehouses / data marts and cloud data platform including subject area marts and interfaces to downstream applications. The ideal candidate will be an adaptable project lead who will have a technical background coupled with proficient business acumen to enable them to draw and effectively communicate meaningful business conclusions and insights from a wide variety of data sources and structures. In this role you will lead/support the delivery of Enterprise Data Services related projects focused on enabling data aggregation from disparate sources or systems, reconciliations, and adjustments. Responsibilities include owning the development, roll out, and testing of data integration solutions by working closely with ETL and BI development teams, project, and product managers to manage IT stakeholder relationships, set and execute against project milestones, and manage quality, client satisfaction, and engagement throughout the implementation life cycle.
Position details:
Roles and Responsibilities:
- Manage data analysis and data integration of disparate systems.
- Create a semantic layer for data virtualization that connects to heterogeneous data repositories.
- Develop reports and dashboards using Tableau, Power BI, or similar BI tools as assigned.
- Assist Data Management Engineering Team (either for Data Pipelines Engineering or Data Service & Data Access Engineering) for ETL or BI Design and other framework related items.
- Work with business users to translate functional specifications into technical designs for implementation and deployment.
- Extract, transform, and load large volumes of structured and unstructured data from various sources into AWS data lakes or modern data platforms like Snowflake.
- Assist with Data Quality Controls as assigned.
- Work with cross functional team members to develop prototypes, produce design artifacts, develop components, perform, and support SIT and UAT testing, triaging and bug fixing.
- Resolve issues and defects in a timely manner and ensure quality deliverables.
- Optimize data integration platform to provide optimal performance under increasing data volumes.
- Develop data integration standards according to the organization’s information services policies as well as best practices.
- Conduct review of other integration developers’ development efforts to ensure consistent methodologies are followed and to make recommendations where necessary.
- Experience working with Agile teams and JIRA.
- Ensure high quality and optimum performance of data integration systems to meet business solutions.
Job Requirements:
- Bachelor’s Degree (or foreign equivalent degree) in Information Technology, Information Systems, Computer Science, Software Engineering, or a related field. Experience in the financial services or banking industry is preferred.
- 8+ years of experience with leading design, development, and optimization of dashboards and reports using Power BI, Tableau, and other reporting platforms.
- 5+ years of experience with integration of BI tools with data warehouses / lakes (e.g. Snowflake), along with strong knowledge of Data Modelling, UX/UI for Dashboards.
- 3+ years of experience with migration of reports from legacy platforms.
- 5+ years of experience with data virtualization, data mesh, data fabric, and federated querying platforms such as Denodo, Starburst or OSS platforms are highly desirable.
- 3+ Years of experience working as a Data Engineer, with a focus on building data pipelines and processing large datasets.
- 5+ Years of strong proficiency in AWS services, including AWS Glue, Redshift, EMR, RDS, Kinesis, S3, Athena, DynamoDB, Step Functions and Lambda.
- 2+ Years of Expertise in dealing with data pipelines associated with modern data platforms such as snowflake.
- Solid understanding of data modeling, database design, and ETL principles.
- Experience working with data lakes, data warehouses, and distributed computing systems.
- Familiarity with data governance, data security, and compliance practices in cloud environments.
- Exposure to Data Virtualization tools such as Starburst, Dremio or Denodo is a plus.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- AWS / Snowflake / Power BI / Tableau certifications are a plus.
- Business Acumen: 15%: Knowledge of Banking & Financial Services Products (such as Loans, Deposits, Forex, etc.). Knowledge of Operational / MIS Reports, Risk and Regulatory Reporting for a US Bank is a plus.
- Data Skills: 25%: Must have proficiency in Data Warehousing concepts, Data Lake & Data Mesh concepts, Data Modeling, Databases, Data Governance, Data Security / Protection, and Data Access.
- Tech Skills: 50%: See above
- Human Skills: 10%: Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
Technical Skills:
- BI Tools: Power BI (Desktop, Service), Tableau (Desktop, Server, Online, Prep).
Advanced: DAX (Good to have):
- Data Modelling: Star & Snowflake Schema, Composite Models, RLS, Data Blending
- Cloud Technology: AWS (Redshift, S3, Athena) , Storage – S3 Buckets
- Virtualization Layer: Denodo, Dremio, Starburst
- AWS Cloud technology stack (EMR, Redshift, HiveQL, Glue, RDS, etc.)
- Databases: SQL Server, Oracle
Intern – Data Visualization & Financial Research
Posted today
Job Viewed
Job Description
JR Laddha Financial Services is a leading advisory and wealth management firm committed to delivering insightful financial strategies through data-driven research. We are looking for a passionate intern who can transform complex financial data into interactive and visually engaging insights.
Assist in creating interactive dashboards and visualizations for financial data.
Utilize Excel, Power BI, and Canva to prepare reports and infographics for presentations.
Collaborate with research analysts to extract key insights from financial models.
Support automation of research workflows using basic coding/scripting or AI tools (e.g., Python, ChatGPT, Excel Macros).
Contribute to storytelling through data to enhance investor communication and strategic decisions.
Research financial market trends and assist in preparing investor education materials.
Requirements:
Strong working knowledge of Microsoft Excel (pivot tables, advanced formulas, charts).
Proficiency in Canva and/or similar design platforms for visual storytelling.
Exposure to Power BI or Tableau is a plus.
Basic coding ability (e.g., Python, R, VBA) or familiarity with AI tools (e.g., ChatGPT, Excel Copilot).
Strong interest in financial markets, investment analysis, or corporate finance.
Excellent communication and collaboration skills.
Pursuing/completed a degree in Finance, Economics, Data Science, Business Analytics, or a related field.
Coursework or certifications in data visualization, financial modeling, or research analysis are a bonus.
Real-world exposure to financial research and data-driven decision-making.
Opportunity to work closely with senior analysts and wealth advisors.
Hands-on experience with data tools used in the finance industry.
Certificate of completion and potential consideration for a full-time role based on performance.
AVP - Data Visualization [T500-19721]
Posted today
Job Viewed
Job Description
About Us:
MUFG Bank, Ltd. is Japan’s premier bank, with a global network spanning in more than 40 markets. Outside of Japan, the bank offers an extensive scope of commercial and investment banking products and services to businesses, governments, and individuals worldwide. MUFG Bank’s parent, Mitsubishi UFJ Financial Group, Inc. (MUFG) is one of the world’s leading financial groups. Headquartered in Tokyo and with over 360 years of history, the Group has about 120,000 employees and offers services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing. The Group aims to be the world’s most trusted financial group through close collaboration among our operating companies and flexibly respond to all the financial needs of our customers, serving society, and fostering shared and sustainable growth for a better world. MUFG’s shares trade on the Tokyo, Nagoya, and New York stock exchanges.
MUFG Global Service Private Limited:
Established in 2020, MUFG Global Service Private Limited (MGS) is 100% subsidiary of MUFG having offices in Bengaluru and Mumbai. MGS India has been set up as a Global Capability Centre / Centre of Excellence to provide support services across various functions such as IT, KYC/ AML, Credit, Operations etc. to MUFG Bank offices globally. MGS India has plans to significantly ramp-up its growth over the next 18-24 months while servicing MUFG’s global network across Americas, EMEA and Asia Pacific.
About the Role:
Position Title: Assistant Vice President
Corporate Title: Assistant Vice President
Reporting to: Vice President
Location: MESI - Bengaluru
Job Profile:
Data Services Layer Engineer who will lead, plan, design and implement data integration solutions for On-prem data warehouses / data marts and cloud data platform including subject area marts and interfaces to downstream applications. The ideal candidate will be an adaptable project lead who will have a technical background coupled with proficient business acumen to enable them to draw and effectively communicate meaningful business conclusions and insights from a wide variety of data sources and structures. In this role you will lead/support the delivery of Enterprise Data Services related projects focused on enabling data aggregation from disparate sources or systems, reconciliations, and adjustments. Responsibilities include owning the development, roll out, and testing of data integration solutions by working closely with ETL and BI development teams, project, and product managers to manage IT stakeholder relationships, set and execute against project milestones, and manage quality, client satisfaction, and engagement throughout the implementation life cycle.
Position details:
Roles and Responsibilities:
- Manage data analysis and data integration of disparate systems.
- Create a semantic layer for data virtualization that connects to heterogeneous data repositories.
- Develop reports and dashboards using Tableau, Power BI, or similar BI tools as assigned.
- Assist Data Management Engineering Team (either for Data Pipelines Engineering or Data Service & Data Access Engineering) for ETL or BI Design and other framework related items.
- Work with business users to translate functional specifications into technical designs for implementation and deployment.
- Extract, transform, and load large volumes of structured and unstructured data from various sources into AWS data lakes or modern data platforms like Snowflake.
- Assist with Data Quality Controls as assigned.
- Work with cross functional team members to develop prototypes, produce design artifacts, develop components, perform, and support SIT and UAT testing, triaging and bug fixing.
- Resolve issues and defects in a timely manner and ensure quality deliverables.
- Optimize data integration platform to provide optimal performance under increasing data volumes.
- Develop data integration standards according to the organization’s information services policies as well as best practices.
- Conduct review of other integration developers’ development efforts to ensure consistent methodologies are followed and to make recommendations where necessary.
- Experience working with Agile teams and JIRA.
- Ensure high quality and optimum performance of data integration systems to meet business solutions.
Job Requirements:
- Bachelor’s Degree (or foreign equivalent degree) in Information Technology, Information Systems, Computer Science, Software Engineering, or a related field. Experience in the financial services or banking industry is preferred.
- 8+ years of experience with leading design, development, and optimization of dashboards and reports using Power BI, Tableau, and other reporting platforms.
- 5+ years of experience with integration of BI tools with data warehouses / lakes (e.g. Snowflake), along with strong knowledge of Data Modelling, UX/UI for Dashboards.
- 3+ years of experience with migration of reports from legacy platforms.
- 5+ years of experience with data virtualization, data mesh, data fabric, and federated querying platforms such as Denodo, Starburst or OSS platforms are highly desirable.
- 3+ Years of experience working as a Data Engineer, with a focus on building data pipelines and processing large datasets.
- 5+ Years of strong proficiency in AWS services, including AWS Glue, Redshift, EMR, RDS, Kinesis, S3, Athena, DynamoDB, Step Functions and Lambda.
- 2+ Years of Expertise in dealing with data pipelines associated with modern data platforms such as snowflake.
- Solid understanding of data modeling, database design, and ETL principles.
- Experience working with data lakes, data warehouses, and distributed computing systems.
- Familiarity with data governance, data security, and compliance practices in cloud environments.
- Exposure to Data Virtualization tools such as Starburst, Dremio or Denodo is a plus.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- AWS / Snowflake / Power BI / Tableau certifications are a plus.
- Business Acumen: 15%: Knowledge of Banking & Financial Services Products (such as Loans, Deposits, Forex, etc.). Knowledge of Operational / MIS Reports, Risk and Regulatory Reporting for a US Bank is a plus.
- Data Skills: 25%: Must have proficiency in Data Warehousing concepts, Data Lake & Data Mesh concepts, Data Modeling, Databases, Data Governance, Data Security / Protection, and Data Access.
- Tech Skills: 50%: See above
- Human Skills: 10%: Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
Technical Skills:
- BI Tools: Power BI (Desktop, Service), Tableau (Desktop, Server, Online, Prep).
Advanced: DAX (Good to have):
- Data Modelling: Star & Snowflake Schema, Composite Models, RLS, Data Blending
- Cloud Technology: AWS (Redshift, S3, Athena) , Storage – S3 Buckets
- Virtualization Layer: Denodo, Dremio, Starburst
- AWS Cloud technology stack (EMR, Redshift, HiveQL, Glue, RDS, etc.)
- Databases: SQL Server, Oracle
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AVP - Data Visualization [T500-19721]
Posted 19 days ago
Job Viewed
Job Description
About Us:
MUFG Bank, Ltd. is Japan’s premier bank, with a global network spanning in more than 40 markets. Outside of Japan, the bank offers an extensive scope of commercial and investment banking products and services to businesses, governments, and individuals worldwide. MUFG Bank’s parent, Mitsubishi UFJ Financial Group, Inc. (MUFG) is one of the world’s leading financial groups. Headquartered in Tokyo and with over 360 years of history, the Group has about 120,000 employees and offers services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing. The Group aims to be the world’s most trusted financial group through close collaboration among our operating companies and flexibly respond to all the financial needs of our customers, serving society, and fostering shared and sustainable growth for a better world. MUFG’s shares trade on the Tokyo, Nagoya, and New York stock exchanges.
MUFG Global Service Private Limited:
Established in 2020, MUFG Global Service Private Limited (MGS) is 100% subsidiary of MUFG having offices in Bengaluru and Mumbai. MGS India has been set up as a Global Capability Centre / Centre of Excellence to provide support services across various functions such as IT, KYC/ AML, Credit, Operations etc. to MUFG Bank offices globally. MGS India has plans to significantly ramp-up its growth over the next 18-24 months while servicing MUFG’s global network across Americas, EMEA and Asia Pacific.
About the Role:
Position Title: Assistant Vice President
Corporate Title: Assistant Vice President
Reporting to: Vice President
Location: MESI - Bengaluru
Job Profile:
Data Services Layer Engineer who will lead, plan, design and implement data integration solutions for On-prem data warehouses / data marts and cloud data platform including subject area marts and interfaces to downstream applications. The ideal candidate will be an adaptable project lead who will have a technical background coupled with proficient business acumen to enable them to draw and effectively communicate meaningful business conclusions and insights from a wide variety of data sources and structures. In this role you will lead/support the delivery of Enterprise Data Services related projects focused on enabling data aggregation from disparate sources or systems, reconciliations, and adjustments. Responsibilities include owning the development, roll out, and testing of data integration solutions by working closely with ETL and BI development teams, project, and product managers to manage IT stakeholder relationships, set and execute against project milestones, and manage quality, client satisfaction, and engagement throughout the implementation life cycle.
Position details:
Roles and Responsibilities:
- Manage data analysis and data integration of disparate systems.
- Create a semantic layer for data virtualization that connects to heterogeneous data repositories.
- Develop reports and dashboards using Tableau, Power BI, or similar BI tools as assigned.
- Assist Data Management Engineering Team (either for Data Pipelines Engineering or Data Service & Data Access Engineering) for ETL or BI Design and other framework related items.
- Work with business users to translate functional specifications into technical designs for implementation and deployment.
- Extract, transform, and load large volumes of structured and unstructured data from various sources into AWS data lakes or modern data platforms like Snowflake.
- Assist with Data Quality Controls as assigned.
- Work with cross functional team members to develop prototypes, produce design artifacts, develop components, perform, and support SIT and UAT testing, triaging and bug fixing.
- Resolve issues and defects in a timely manner and ensure quality deliverables.
- Optimize data integration platform to provide optimal performance under increasing data volumes.
- Develop data integration standards according to the organization’s information services policies as well as best practices.
- Conduct review of other integration developers’ development efforts to ensure consistent methodologies are followed and to make recommendations where necessary.
- Experience working with Agile teams and JIRA.
- Ensure high quality and optimum performance of data integration systems to meet business solutions.
Job Requirements:
- Bachelor’s Degree (or foreign equivalent degree) in Information Technology, Information Systems, Computer Science, Software Engineering, or a related field. Experience in the financial services or banking industry is preferred.
- 8+ years of experience with leading design, development, and optimization of dashboards and reports using Power BI, Tableau, and other reporting platforms.
- 5+ years of experience with integration of BI tools with data warehouses / lakes (e.g. Snowflake), along with strong knowledge of Data Modelling, UX/UI for Dashboards.
- 3+ years of experience with migration of reports from legacy platforms.
- 5+ years of experience with data virtualization, data mesh, data fabric, and federated querying platforms such as Denodo, Starburst or OSS platforms are highly desirable.
- 3+ Years of experience working as a Data Engineer, with a focus on building data pipelines and processing large datasets.
- 5+ Years of strong proficiency in AWS services, including AWS Glue, Redshift, EMR, RDS, Kinesis, S3, Athena, DynamoDB, Step Functions and Lambda.
- 2+ Years of Expertise in dealing with data pipelines associated with modern data platforms such as snowflake.
- Solid understanding of data modeling, database design, and ETL principles.
- Experience working with data lakes, data warehouses, and distributed computing systems.
- Familiarity with data governance, data security, and compliance practices in cloud environments.
- Exposure to Data Virtualization tools such as Starburst, Dremio or Denodo is a plus.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- AWS / Snowflake / Power BI / Tableau certifications are a plus.
- Business Acumen: 15%: Knowledge of Banking & Financial Services Products (such as Loans, Deposits, Forex, etc.). Knowledge of Operational / MIS Reports, Risk and Regulatory Reporting for a US Bank is a plus.
- Data Skills: 25%: Must have proficiency in Data Warehousing concepts, Data Lake & Data Mesh concepts, Data Modeling, Databases, Data Governance, Data Security / Protection, and Data Access.
- Tech Skills: 50%: See above
- Human Skills: 10%: Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
Technical Skills:
- BI Tools: Power BI (Desktop, Service), Tableau (Desktop, Server, Online, Prep).
Advanced: DAX (Good to have):
- Data Modelling: Star & Snowflake Schema, Composite Models, RLS, Data Blending
- Cloud Technology: AWS (Redshift, S3, Athena) , Storage – S3 Buckets
- Virtualization Layer: Denodo, Dremio, Starburst
- AWS Cloud technology stack (EMR, Redshift, HiveQL, Glue, RDS, etc.)
- Databases: SQL Server, Oracle
AVP - Data Visualization [T500-19721]
Posted today
Job Viewed
Job Description
About Us:
MUFG Bank, Ltd. is Japan’s premier bank, with a global network spanning in more than 40 markets. Outside of Japan, the bank offers an extensive scope of commercial and investment banking products and services to businesses, governments, and individuals worldwide. MUFG Bank’s parent, Mitsubishi UFJ Financial Group, Inc. (MUFG) is one of the world’s leading financial groups. Headquartered in Tokyo and with over 360 years of history, the Group has about 120,000 employees and offers services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing. The Group aims to be the world’s most trusted financial group through close collaboration among our operating companies and flexibly respond to all the financial needs of our customers, serving society, and fostering shared and sustainable growth for a better world. MUFG’s shares trade on the Tokyo, Nagoya, and New York stock exchanges.
MUFG Global Service Private Limited:
Established in 2020, MUFG Global Service Private Limited (MGS) is 100% subsidiary of MUFG having offices in Bengaluru and Mumbai. MGS India has been set up as a Global Capability Centre / Centre of Excellence to provide support services across various functions such as IT, KYC/ AML, Credit, Operations etc. to MUFG Bank offices globally. MGS India has plans to significantly ramp-up its growth over the next 18-24 months while servicing MUFG’s global network across Americas, EMEA and Asia Pacific.
About the Role:
Position Title: Assistant Vice President
Corporate Title: Assistant Vice President
Reporting to: Vice President
Location: MESI - Bengaluru
Job Profile:
Data Services Layer Engineer who will lead, plan, design and implement data integration solutions for On-prem data warehouses / data marts and cloud data platform including subject area marts and interfaces to downstream applications. The ideal candidate will be an adaptable project lead who will have a technical background coupled with proficient business acumen to enable them to draw and effectively communicate meaningful business conclusions and insights from a wide variety of data sources and structures. In this role you will lead/support the delivery of Enterprise Data Services related projects focused on enabling data aggregation from disparate sources or systems, reconciliations, and adjustments. Responsibilities include owning the development, roll out, and testing of data integration solutions by working closely with ETL and BI development teams, project, and product managers to manage IT stakeholder relationships, set and execute against project milestones, and manage quality, client satisfaction, and engagement throughout the implementation life cycle.
Position details:
Roles and Responsibilities:
- Manage data analysis and data integration of disparate systems.
- Create a semantic layer for data virtualization that connects to heterogeneous data repositories.
- Develop reports and dashboards using Tableau, Power BI, or similar BI tools as assigned.
- Assist Data Management Engineering Team (either for Data Pipelines Engineering or Data Service & Data Access Engineering) for ETL or BI Design and other framework related items.
- Work with business users to translate functional specifications into technical designs for implementation and deployment.
- Extract, transform, and load large volumes of structured and unstructured data from various sources into AWS data lakes or modern data platforms like Snowflake.
- Assist with Data Quality Controls as assigned.
- Work with cross functional team members to develop prototypes, produce design artifacts, develop components, perform, and support SIT and UAT testing, triaging and bug fixing.
- Resolve issues and defects in a timely manner and ensure quality deliverables.
- Optimize data integration platform to provide optimal performance under increasing data volumes.
- Develop data integration standards according to the organization’s information services policies as well as best practices.
- Conduct review of other integration developers’ development efforts to ensure consistent methodologies are followed and to make recommendations where necessary.
- Experience working with Agile teams and JIRA.
- Ensure high quality and optimum performance of data integration systems to meet business solutions.
Job Requirements:
- Bachelor’s Degree (or foreign equivalent degree) in Information Technology, Information Systems, Computer Science, Software Engineering, or a related field. Experience in the financial services or banking industry is preferred.
- 8+ years of experience with leading design, development, and optimization of dashboards and reports using Power BI, Tableau, and other reporting platforms.
- 5+ years of experience with integration of BI tools with data warehouses / lakes (e.g. Snowflake), along with strong knowledge of Data Modelling, UX/UI for Dashboards.
- 3+ years of experience with migration of reports from legacy platforms.
- 5+ years of experience with data virtualization, data mesh, data fabric, and federated querying platforms such as Denodo, Starburst or OSS platforms are highly desirable.
- 3+ Years of experience working as a Data Engineer, with a focus on building data pipelines and processing large datasets.
- 5+ Years of strong proficiency in AWS services, including AWS Glue, Redshift, EMR, RDS, Kinesis, S3, Athena, DynamoDB, Step Functions and Lambda.
- 2+ Years of Expertise in dealing with data pipelines associated with modern data platforms such as snowflake.
- Solid understanding of data modeling, database design, and ETL principles.
- Experience working with data lakes, data warehouses, and distributed computing systems.
- Familiarity with data governance, data security, and compliance practices in cloud environments.
- Exposure to Data Virtualization tools such as Starburst, Dremio or Denodo is a plus.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- AWS / Snowflake / Power BI / Tableau certifications are a plus.
- Business Acumen: 15%: Knowledge of Banking & Financial Services Products (such as Loans, Deposits, Forex, etc.). Knowledge of Operational / MIS Reports, Risk and Regulatory Reporting for a US Bank is a plus.
- Data Skills: 25%: Must have proficiency in Data Warehousing concepts, Data Lake & Data Mesh concepts, Data Modeling, Databases, Data Governance, Data Security / Protection, and Data Access.
- Tech Skills: 50%: See above
- Human Skills: 10%: Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
Technical Skills:
- BI Tools: Power BI (Desktop, Service), Tableau (Desktop, Server, Online, Prep).
Advanced: DAX (Good to have):
- Data Modelling: Star & Snowflake Schema, Composite Models, RLS, Data Blending
- Cloud Technology: AWS (Redshift, S3, Athena) , Storage – S3 Buckets
- Virtualization Layer: Denodo, Dremio, Starburst
- AWS Cloud technology stack (EMR, Redshift, HiveQL, Glue, RDS, etc.)
- Databases: SQL Server, Oracle
Intern – Data Visualization & Financial Research
Posted 18 days ago
Job Viewed
Job Description
JR Laddha Financial Services is a leading advisory and wealth management firm committed to delivering insightful financial strategies through data-driven research. We are looking for a passionate intern who can transform complex financial data into interactive and visually engaging insights.
Assist in creating interactive dashboards and visualizations for financial data.
Utilize Excel, Power BI, and Canva to prepare reports and infographics for presentations.
Collaborate with research analysts to extract key insights from financial models.
Support automation of research workflows using basic coding/scripting or AI tools (e.g., Python, ChatGPT, Excel Macros).
Contribute to storytelling through data to enhance investor communication and strategic decisions.
Research financial market trends and assist in preparing investor education materials.
Requirements:
Strong working knowledge of Microsoft Excel (pivot tables, advanced formulas, charts).
Proficiency in Canva and/or similar design platforms for visual storytelling.
Exposure to Power BI or Tableau is a plus.
Basic coding ability (e.g., Python, R, VBA) or familiarity with AI tools (e.g., ChatGPT, Excel Copilot).
Strong interest in financial markets, investment analysis, or corporate finance.
Excellent communication and collaboration skills.
Pursuing/completed a degree in Finance, Economics, Data Science, Business Analytics, or a related field.
Coursework or certifications in data visualization, financial modeling, or research analysis are a bonus.
Real-world exposure to financial research and data-driven decision-making.
Opportunity to work closely with senior analysts and wealth advisors.
Hands-on experience with data tools used in the finance industry.
Certificate of completion and potential consideration for a full-time role based on performance.