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Data Engineer with Python

Data Engineer with Python
ClickJobs.io
2 months 1 week ago

Role: Python Data Engineer

(Databricks/Pyspark, SQL, Azure) Mississauga, ON (hybrid/3 days in a week)

Overview

Looking for an Integration engineer responsible for daily support and project based development of credit risk management systems. ETL developers are responsible for designing and creating the data warehouse and all related extraction, transformation and load of data functions. This is an opportunity to gain experience in risk management processing using new technologies.

Responsibilities

  • Strong understanding or 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 combination of Data bricks, Python and Snow SQL.
  • Developing scripts UNIX, Python etc. to Extract, Load and Transform data, as well as other utility functions.
  • Provide production support for Data Warehouse issues such data load problems, transformation translation problems

Requirements

  • 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, Data bricks, 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.

Education

Bachelors degree in Computer Science or Finance

We can offer you

  • A highly competitive compensation and benefits package
  • A multinational organization with 51 offices in 20 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
  • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms
  • A flat and approachable organization
  • A truly diverse, fun-loving and global work culture

SYNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiativ...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

Work arrangement

Key skills

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