Data Engineering consultantAIA Group

Job Description
At AIA we've started an exciting movement to create a healthier, more sustainable future for everyone.
If you believe in developing a better tomorrow, read on.
WE ARE LOOKING FOR .....
Acts as a subject matter expert for the team on data engineering technical stack, integration tools, and best practices used in analytics data management.
Roles and Responsibilities:
Understand, design, develop, and expand data engineering technical stacks: ETLs, Data Stores, Data Warehouse, Data Lakes, Data Hubs, Data Governance, Visualization, Performance, Infrastructure, and Governance in either enterprise/ open source/ bespoke solutions or platforms.
Expertise in tools and solutions related to data governance which includes but not limited to analyzing and visualizing diver sources of data, discovering data sources and making them available through ETL as part of the data democratization initiative
Apply data mining and wrangling on data
Identify opportunities to optimize the ETL environment, implement monitoring, quality, and validation processes to ensure data accuracy and integrity.
Provide inputs in data governance to drive data governance charter
Implement data pipelines to bring data at reach to platforms or tools used by different business units. Maintain development roadmap aligned with product and infrastructure objectives to support advanced data solutions
Analyze source data and data flows and building APIs or solutions for data consumption or integration to different tools
Provide subject matter expertise or support to data engineering technical stack post-production
Design and implement solutions for integrating, streaming, processing, and storage of data. This also includes data in data warehouses, data lakes, and/or data hubs and handling of structured, semi-structured, and unstructured data
Work with architects contributing to the data and analytics team on best practices in backend infrastructure, cloud transformation, and distributed computing topics
Manage monitoring of all data cleansing/quality activities including support and guidance to business users to support all reporting needs, data profiles.
Develop team's data capabilities with knowledge sharing, enforcing best practices, and building a data-driven organization
GENERAL QUALIFICATIONS:
Bachelor's Degree in Computer Science or Engineering courses
Innovative, proactive, creative, well-organized and able to easily adapt to various technologies
Great interpersonal skills and excellent oral and written communication skills. Able to manage work with internal stakeholders and vendors.
Willingness and desire to learn new environment and tools and advance your knowledge. Keeps up to data with new research and integrated applications in the area of data science.
Able to work with loosely defined requirements and exercise analytical skills to clarify questions, share methodology/approach, and build/test solutions.
TECHNICAL QUALIFICATIONS:
At least 3 years of experience in designing, building data warehouses or data lakes.
Prior experience on applications analysis, design and development
Must understand how to interpret customer business needs and translate them into application and operational requirements.
Must have extensive knowledge of emerging industry practices
Must have experience in cloud tools from either Azure, AWS, or GCP