Data Engineer

  • Free
  • Published date: April 30, 2019
    • British Columbia, Canada


Data Engineer

Data Engineering focuses on making possible fast, accurate, and reliable
access to data. We build data pipelines, manage a data warehouse, and support
the production use of our data. We advocate for good data practices and make
sure that our business users are able to make good data driven decisions.

Provide engineering on modern, cloud-based data processing technology stack

Build data pipelines, data validation frameworks, job schedules with emphasis
on automation and scale

Contribute to overall architecture, framework, and design patterns to store
and process high data volumes

Ensure product and technical features are delivered to spec and on-time

Design and implement features in collaboration with product owners, reporting
analysts / data analysts, and business partners within an Agile / Scrum
methodology

Proactively support product health by building solutions that are automated,
scalable, and sustainable ? be relentlessly focused on minimizing defects and
technical debt

Qualifications

Masters? or Bachelors' degree in Computer Science or a related field

5+ years of experience in large-scale software development with emphasis on
data analytics and high-volume data processing

3+ years of experience in data engineering development

2+ years of experience implementing scalable data architectures

2+ years of experience with AWS and related services (e.g., EC2, S3,
DynamoDB, ElasticSearch, SQS, SNS, Lambda, Airflow, Snowflake)

Experience in data-centric programming languages (e.g., Python, GO, Ruby,
Javascript, Scala)

Proficiency with ETL tools and techniques.

Knowledge of and experience with RDBMS platforms, such as MS SQL Server,
Oracle, DB2, IMS, IDMS MySQL, Postgres, SAP HANA, and Teradata.

Experience with participating in projects in a highly collaborative,
multi-discipline team environment

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Reference : Data Engineer jobs

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