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Data Warehouse Engineer

Data Warehouse Engineer
Synechron
8 months ago

Job Description

Role: Data Warehouse Engineer (Pyspark/ Python, Azure and Snowflake)
Location: Mississauga, Ontario, Canada
Day 1 Hybrid Onsite

Responsibilities:

  • Strong understanding of Snowflake on Azure Architecture
  • Design, implementation, and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse
  • Hands-on development experience with Snowflake features such as Snow SQL, Snow Pipe, Python, Tasks, Streams, Time travel, Zero Copy Cloning, Optimizer, Metadata Manager, data sharing, and stored procedures
  • Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling

Need to have working knowledge of MS Azure configuration items with respect to Snowflake

  • Developing EL pipelines in and out of data warehouse using a combination of Databricks, Python, and Snow SQL
  • Developing scripts in UNIX, Python, etc., to Extract, Load and Transform data, as well as other utility functions
  • Provide production support for Data Warehouse issues such as data load problems, transformation translation problems

Requirements

You are:

  • Minimum 10 years of designing and implementing an operational production-grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse
  • Including hands-on experience with productionized data ingestion and processing pipelines using Python, Databricks, Snow SQL
  • Excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies

It would be great if you also had:

  • Experience with Snowflake
  • Detail-oriented, ability to turn deliverables around quickly with a high degree of accuracy
  • Strong analytical skills, ability to interpret business requirements and produce functional and technical design documents
  • Good time management skills – Ability to prioritize and multi-task, handling multiple efforts at once
  • Strong desire to understand and learn domain
  • Experience in a financial services/banking industry
  • Ability to work in a fast-paced environment; to be flexible and learn quickly
  • Ability to multi-task with attention to detail/ prioritize tasks

What We Offer

  • A highly competitive compensation and benefits package
  • A multinational organization with 48 offices in 19 countries and the possibility to work abroad
  • Laptop and a mobile phone
  • 15 days of paid annual leave (plus national holidays)
  • Maternity & Paternity leave plans
  • A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability
  • RRSP with employer’s contribution
  • A higher education certification policy
  • Comprehensive Relocation Expense Coverage
  • Commuter benefits
  • Extensive training opportunities, focused on skills, substantive knowledge, and personal development
  • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
  • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups

Diversity & Inclusion at Synechron

  • Diversity & Inclusion are fundamental to our culture
  • Synechron is proud to be an equal opportunity workplace and is an affirmative action employer
  • Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity, and an environment that is respectful to all
  • We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company

We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply

We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more

All employment decisions at Synechron are based on business needs, job requirements, and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law

Expertise level

Key skills

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