Data Engineer

Alltech Consulting Services; Montreal; On-site; CAD 70,000 - 90,000; Full time

Job summary

A consulting services firm is looking for a Database Engineer to manage database infrastructure and development. The role requires 3-7 years of experience with DB2 or Sybase and strong scripting skills in Perl or Python. Candidates should possess a strong knowledge of database performance tuning and be able to work collaboratively in agile teams. This position emphasizes database security, scalability, and capacity planning.

Qualifications

• 3-7 years of experience with relational databases, especially with DB2 Linux or Sybase.
• Strong knowledge base of relational database performance and tuning.
• Ability to work collaboratively in a team environment.

Responsibilities

• Database Infrastructure Engineering for stability and scalability.
• Plan and execute database schema changes and performance improvements.
• Enforce database security and standards.

Skills

Relational database experience

Scripting in Perl/Python

Database performance tuning

Job description

Overview

Our department manages and develops databases and processes data across all divisions (ISG and MSWM) and business lines (FID, IED), including front office reference, finance and risk data. The databases run on Sybase, DB2, KDb, Greenplum, Hadoop, and MongoDB technologies. ITARA owns several datamarts and business intelligence platforms (Business Objects, Qlikview and Tableau) to enable end user data analysis. Ownership includes database modeling, physical database design, SQL development, capacity planning, performance tuning, database maintenance and ETL pipelines. The Datamarts Analytics team is looking for talented data engineers to join our global team of highly technical individuals who manage many databases that include Big Data volumes. We deliver multiple projects for multiple business areas in parallel. The business owners and subject matter experts are globally distributed, making strong communication skills important to the position.

The candidate will be expected to work closely with our IT partners in analyzing and delivering on business requirements. Development will utilize an agile methodology, which is based on scrum (time boxing, daily scrum meetings, retrospectives, etc), and XP (continuous integration, refactoring, unit testing etc.) best practices. Candidates must therefore be able to work collaboratively, demonstrate good ownership and be able to work well in teams. Work will include designing, enhancing and developing applications across different database environments. The job will involve considering all aspects of the project life cycle and includes proof-of-concept evaluations, coding, designing, testing, implementing, deploying, and continued support of project releases as well as on-call Level 3 support. Collaboration with the firm’s engineering teams is expected.

Major Role & Responsibilities

• Database Infrastructure Engineering for stability, scalability and capacity planning.
• Application DBA functions: plan & execute database schema changes, bottleneck analysis, outage prevention / resolution, server / database performance improvements, database maintenance, database recovery, etc.
• Database development (stored procedures, ETL, tools) and queries / stored procedures review and optimization.
• Enforce database security, standards & guidelines.

Technical Skills Requirement

• 3-7 years of experience with relational databases – especially with DB2 Linux or Sybase
• Scripting on linux platforms in languages such as Perl / Python and Unix / K-Shell
• Strong knowledge base of relational database performance and tuning such as: proper use of indices, database statistics / reorgs, de-normalization concepts, memory management, database configurations, etc.

Skills Desired

• Knowledge of other databases like Greenplum is a big plus
• Familiarity with Datalakes
• Finance domain background is a plus
• Familiarity with CI / CD tools

Personal Skills

• Integrity & ownership, good team player
• Ability to work under time and resource dependencies and constraints
• Ability to find simple and effective solutions
• High degree of motivation to expand technical and business knowledge