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1 Link Group Data Engineer Job

Data Engineer

Link Group

based on 211 Reviews

3-10 years

Mumbai

1 vacancy

Data Engineer

Link Group

posted 22d ago

Flexible timing

Key skills for the job

+ 3 more

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

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