Data Engineer

Job ID: 32813225

Budget: $1,500 – $3,000 USD

What you will be doing:
??Analyze business, IT and data requirements, design the best possible data model and ETL processes, and implement data solutions (OLTP & OLAP) accordingly.
??Develop and maintain extract, transform and load (ETL) jobs within an evolving enterprise data warehouse
??Develop Advanced T-SQL such as temporal tables, PIVOTs, recursive table expressions, dynamic SQL as well as high complexity, fast performing SELECT queries, T-SQL procedures, functions, triggers, views, jobs, scripts to support data operations and DW users.
??Optimize SQL statements executed by end users/ETL code as required; Test and troubleshoot ETL job functionality, validate database objects and structures through use of SQL and other means
??Collaborates with analytics and business teams to improve data models that feed business intelligence tools
??Assist DBAs in managing indexes, statistics, query plans, alerts, database activity and overall performance activity
??Create and monitor fault tolerant database jobs across hundreds of integration points
??Identify root causes of data integrity issues and ability to eliminate them

Why people love working here:
?You have the opportunity to be a part of an award winning, fast growing company
?Our innovative culture promotes on-going learning opportunities with training and mentorship
?A new and vibrant office environment and remote working capability
?Competitive compensation package commensurate to experience plus benefits

What you should have:
✔️4 years of experience in Database development and engineering
✔️Extensive knowledge of MSSQL Server, MongoDB, SOAP/XML, REST/JSON, Databricks
✔️Expert understanding of ELT and ETL and hands-on experience with SSIS, SSRS (development and some admin experience)
✔️Hands on Experience with data modeling (OLTP and OLAP) using Erwin, Visio or similar tools
✔️Experience in all aspects of SDLC
✔️Experience with version control software (ideally bitbucket)
✔️Working knowledge of AWS Cloud (RDS) and new database technologies on Azure and AWS including streaming analytics, data factory, airflow, etc
✔️Python, R, Scala, Spark experience are an asset
✔️Familiarity with ad-hoc file transfer solution/s, such as FTP, HTTP
✔️Experience with modeling Power BI data modeling, designing dashboards is desirable
✔️Financial services experience is an asset

This position is remote capable within Canada or Argentina.