Data Engineer

External Description

JOB RESPONSIBILITIES

• Build and maintain data pipelines adhering to suggested enterprise architecture principles and guidelines
• Collection and management of data, converting it into useful information
• Generating data validation processes and analytical tools
• Design, build, test, and maintain data management systems
• Work in sync with internal and external team members like data architects, data scientists, data analysts to handle all sorts of technical issue
• Working in Agile/Lean model
• Deliver quality deliverables on time
• Translating complex functional requirements into technical solutions.

External Skills And Expertise

Required Skills: 

Tableau:

• Design, develop and maintain dashboards and reports in Tableau according to user requirements
• Connect Tableau to various data sources for real-time or batch data
• Analyze and interpret complex data to create visualizations that effectively showcase the data
• Perform and document data analysis, data validation, and data mapping/design
• Optimize user experience through interactive dashboards, reports, and Tableau story points
• Assist in design and development of Tableau visualization solutions
• Perform detailed data exploration and validation from a variety of sources
• Collaborate with stakeholders to understand and prioritize functional requirements
• Perform testing and data quality checks for Tableau Dashboards
• Maintain and provide technical support for the companys Tableau environment

SSIS & SQL:

• Creation and maintenance of optimum data pipeline architecture for ingestion, processing of data
• Creation of necessary infrastructure for ETL jobs (Using MSBI tech stack) from a wide range of data sources
• Collecting data requirements, maintaining metadata about data
• Experience with stream-processing systems
• Experience in Data storage technologies like Amazon S3.
• Strong SQL expertise.
• Data modeling technical awareness
• Conduct research and identify automation tasks
• Knowledge on Cloud computing services such as AWS
• Experience in working with stakeholders working in different time zones

Good to have

• Integration using Talend/Talend API.
• AWS data services development experience.
• Good to have in building Data pipeline using AWS data pipeline service as well as database service
• Payments, domain knowledge
• Regulatory reporting exposureRole & responsibilities