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Data Engineer Data Engineer
MUFG Pension & Market Services
posted 16hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Overview
- This role is part of MUFG Retirement Solutions Data Technology domain and is responsible to deliver enterprise-wide data solutions.
- Individual will be responsible for designing and developing of data solutions which support our internal and external customers.
- This role requires a mix of creativity, attention to detail and a curiosity to find the best data solution for our customers.
Key Accountabilities and main responsibilities
Strategic Focus
- Contribute to the development of the data engineering capability.
- Apply software engineering best practices and database design to build scalable data pipelines, data integrations, and data models for use in applications and reports.
- Transform raw data into clean, accurate, and reusable datasets with combination of technical expertise and business acumen to seamlessly integrate data thus facilitating data-driven decision-making throughout the organization.
- Responsible for data curation - translating data needs from stakeholders into architecting, building, and maintaining efficient reliable data models and pipelines.
- Determining business needs and drivers through stakeholder consultation and collaboration and translate them into actionable requirements for data products.
- Keep up to date with latest trends and best practices in data technology.
Operational Management
- Design, develop, and implement data solutions using our MS stack tools.
- Executing against the Data and Analytics roadmap, including optimisation of the existing capability as well as introduction of new data capabilities.
- Utilize data modeling techniques, to structure data for efficient analysis.
- Apply various transformations to ensure data accuracy, including removing inaccuracies or corrupted data and aggregating data items.
- Maintain comprehensive data documentation to ensure a common understanding of data definitions and language across the team.
- Apply standard practices, including version control, unit testing, and continuous integration.
- Collaborate with stakeholders and cross-functional teams to identify business opportunities and enhance strategies with automated data solutions.
- Partner closely with other engineers and analysts to improve foundational data models and accelerate the productization of data insight.
Governance Risk
- Ensure timely completion of activities by adhering with the agreed processes quality standards.
- Individual should adhere to data design best practices.
- Adhere to MUFG s standards, policies, and procedures.
- The above list of key accountabilities is not an exhaustive list and may change from time-to-time based on business needs.
Experience Personal Attributes
Experience
- Overall, 7-10 years of development experience with advanced SQL skills with the ability to develop efficient queries of varying complexity.
- Minimum 3-5 years of data engineering experienced in SQL database development and end-to-end ETL processes.
- Experience working with SSIS and other data transformation tools.
- Expertise to Implementing Data Warehousing Solutions.
- Developing Modern Data Warehouse solutions using Azure Stack (Azure Data Lake, Azure Data Factory, Azure Databricks).
- Excellent Understanding of Modern Data Warehouse/Lambda Architecture, Data warehousing concepts.
- Proficient in a source code control system such as GIT; Strong T-SQL scripting and data modelling skills.
- Coding Spark Scala or Python is desirable.
- Strong relational and dimensional Data Modelling skills is desirable.
Personal Attributes
- Effective verbal and written communication skills, needed to communicate with global teams/stakeholders.
- Practical and simple problem-solving approach.
- Effective Team player with collaborative skills, learning and proactive attitude.
- Quality orientation with attention to detail.
- Commitment to continuous improvement.
- Excellent planning and organizational skills.
- Collaborate and share knowledge with other members of the team to ensure we are always evolving our collective skills and staying on the cutting-edge.
- Effectively communicate complex technical concepts to non-technical stakeholders and collaborate closely to understand evolving business requirements.
Overview
- This role is part of MUFG Retirement Solutions Data Technology domain and is responsible to deliver enterprise-wide data solutions.
- Individual will be responsible for designing and developing of data solutions which support our internal and external customers.
- This role requires a mix of creativity, attention to detail and a curiosity to find the best data solution for our customers.
Key Accountabilities and main responsibilities
Strategic Focus
- Contribute to the development of the data engineering capability.
- Apply software engineering best practices and database design to build scalable data pipelines, data integrations, and data models for use in applications and reports.
- Transform raw data into clean, accurate, and reusable datasets with combination of technical expertise and business acumen to seamlessly integrate data thus facilitating data-driven decision-making throughout the organization.
- Responsible for data curation - translating data needs from stakeholders into architecting, building, and maintaining efficient reliable data models and pipelines.
- Determining business needs and drivers through stakeholder consultation and collaboration and translate them into actionable requirements for data products.
- Keep up to date with latest trends and best practices in data technology.
Operational Management
- Design, develop, and implement data solutions using our MS stack tools.
- Executing against the Data and Analytics roadmap, including optimisation of the existing capability as well as introduction of new data capabilities.
- Utilize data modeling techniques, to structure data for efficient analysis.
- Apply various transformations to ensure data accuracy, including removing inaccuracies or corrupted data and aggregating data items.
- Maintain comprehensive data documentation to ensure a common understanding of data definitions and language across the team.
- Apply standard practices, including version control, unit testing, and continuous integration.
- Collaborate with stakeholders and cross-functional teams to identify business opportunities and enhance strategies with automated data solutions.
- Partner closely with other engineers and analysts to improve foundational data models and accelerate the productization of data insight.
Governance Risk
- Ensure timely completion of activities by adhering with the agreed processes quality standards.
- Individual should adhere to data design best practices.
- Adhere to MUFG s standards, policies, and procedures.
- The above list of key accountabilities is not an exhaustive list and may change from time-to-time based on business needs.
Experience Personal Attributes
Experience
- Overall, 7-10 years of development experience with advanced SQL skills with the ability to develop efficient queries of varying complexity.
- Minimum 3-5 years of data engineering experienced in SQL database development and end-to-end ETL processes.
- Experience working with SSIS and other data transformation tools.
- Expertise to Implementing Data Warehousing Solutions.
- Developing Modern Data Warehouse solutions using Azure Stack (Azure Data Lake, Azure Data Factory, Azure Databricks).
- Excellent Understanding of Modern Data Warehouse/Lambda Architecture, Data warehousing concepts.
- Proficient in a source code control system such as GIT; Strong T-SQL scripting and data modelling skills.
- Coding Spark Scala or Python is desirable.
- Strong relational and dimensional Data Modelling skills is desirable.
Personal Attributes
- Effective verbal and written communication skills, needed to communicate with global teams/stakeholders.
- Practical and simple problem-solving approach.
- Effective Team player with collaborative skills, learning and proactive attitude.
- Quality orientation with attention to detail.
- Commitment to continuous improvement.
- Excellent planning and organizational skills.
- Collaborate and share knowledge with other members of the team to ensure we are always evolving our collective skills and staying on the cutting-edge.
- Effectively communicate complex technical concepts to non-technical stakeholders and collaborate closely to understand evolving business requirements.
Employment Type: Full Time, Permanent
Read full job description What people at MUFG Pension & Market Services are saying
Data Engineer salary at MUFG Pension & Market Services
reported by
1
employee
with 11
years exp.
₹20.2
L/yr - ₹25.9
L/yr
122%
more
than the average Data Engineer Salary in India
View more details
What MUFG Pension & Market Services employees are saying about work life
based on 12 employees
Flexible timing
Monday to Friday
No travel
Night Shift
MUFG Pension & Market Services Benefits
View more benefits
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