Data Developer (Hybrid)

This is a hybrid role

Annalect is currently seeking a data engineer to join our technology team. In this role, you will build Annalect products which sit atop our Big Data infrastructure and utilize our componentized design

system. We're looking for people who have a shared passion for technology, design & development, data, and fusing these disciplines together to build cool things. In this role, you will work on one or more software and data products in the Annalect Engineering Team. You will participate in technical architecture, design and development of software products as well as research and evaluation of new technical solutions.

Responsibilities

This is an exciting role and would be a perfect fit if you are interested in:

• Partner with application architects and developers to build the data infrastructure used by our products.
• Assist Project Managers, Business Analysts, and Tech Lead in project planning (provide estimates, risk analysis, requirements analysis, technical options)
• Optimize operations against large databases.
• Help define the vision for a product, identify dead ends and routes with untapped potential.
• Break things, rebuild them, make them better, and share with the wider team your learnings.
• Involvement in full life cycle of projects (including requirement analysis and system design, development and support if required)
• Support and work collaboratively with teams across areas of design, development, quality assurance and operations
• Commit your knowledge and experience into team success

Qualifications

This may be the right role for you, if you have:

• Good understanding of Microsoft Azure Architecture.
• Experience with SQL database design. 
• Experience with SQL – to store and Manipulate data as per the requirements.
• Experience with Python programming language is must.
• Experience with APIs on how it works and have knowledge of loading data from various sources.
• Experience in design and implement ETL procedures for intake of data from both internal and external sources, as well as ensure data is verified and quality is checked 
• 3-5 years of experience in custom ETL design, implementation and maintenance 

Preferred Qualifications

• Desirable: Bachelor or master's degree in Computer Science or related technical field 
• Data engineering certification (preferable) 
• Ideally Intermediate English Proficiency (B2 reading, writing, and conversation).