Data Engineer - 2 Jobs

Location Address: 44 King Street W 6th Floor – hybrid – 2x/week onsite

Contract Duration: ASAP – 10/31/2023 but HM will extend to 18 months + more

High Possibility of Conversion to full time

Schedule Hours: 9am-5pm Monday-Friday (Possible OT)

Candidate Value Proposition:

The successful candidate will have exposure to the Latin American environment and be managing large volumes of data from diverse sources. The team is a very tight-knit team and management values their workers want to offer a good work-life balance.

Typical Day in Role:

• Maintain, support, and enhance existing Business Intelligence solutions built in Power BI Report Server/Powerbi Premium, SQL Server and Big Data Tools

• Design and build performance-oriented BI and ETL architectures for applications handling very large volumes of data from diverse data sources

• End-to-end testing of BI projects proofing data integrity, data consistency and optimal performance

• Compliance with organizational policies, procedures and IT Security regulations

• Analyze highly complex business requirements; generate technical specifications to design or redesign complex software components and applications

• Develop data entry portals (e.g. SharePoint, InfoPath, Web Applications, etc.)

• Act as an expert technical resource for modeling, simulation and analysis efforts

• Leverage industry best practices to design, test, implement and support a solution

• Assure quality security and compliance requirements are met for supported area

• Be flexible and thrive in an evolving environment

• Adapt to change quickly and adjust work accordingly in a positive manner

Candidate Requirements/Must Have Skills:

1) 3+ years of experience developing with Sharepoint (InfoPath)

2) Solid working experience of SQL Server SSAS and SSIS

3) 3+ years working experience with PowerBI and Tableau

4) Hands on experience in designing, developing and successful deployment of large-scale projects from end-to-end

5) development experience in ELT (Extraction, Load and Transformation)

Nice-To-Have Skills:

1) experience working within FI

2) Experience with public cloud solutions like AWS, Azure, or Google Cloud Platform

3) Data engineering certification an asset.

4)experience developing with Hadoop

5) experience developing with HIVE

6) experience developing with Python

Soft Skills Required:

-positive attitude and willingness to learn

-Communication (verbal/written)

-Time management

-ability to work well within a tight-knit team

-attention to detail

Education:

Bachelor’s degree in Computer Science, Computer Engineering or equivalent.

Best vs. Average Candidate

The ideal candidate would have really strong SQL experience and have data mining experience. The manager put a lot of emphasis on attitude and willingness to learn and help out team members.

Candidate Review & Selection

2 rounds

1st – HM – 1 hr (30 mins to assess personality, 30 mins for a quick technical test to be completed during interview) – MS Teams Video

2nd – Director or VP – 30 mins – MS Teams Video

Hiring Manager’s availability to interview: ASAP