Posting record
Open 11+ days
- Bitful Consulting's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Bitful Consulting, so its true age is longer.
Last checked Nov 4, 2026.
How well do you match?
See how much of this posting your resume shows, and what it's missing.
Upload your resumeWhat it asks of you
- 7+ years of experience
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
- You’ll build and maintain data pipelines and datasets that support reporting, visualization, machine learning and data-driven decision making across finance, sales, supply chain, marketing and other business functions.
- Your responsibilities will include:
- Developing and maintaining scalable data pipelines and reusable datasets within a Databricks lakehouse environment
- Ingesting, validating, cleaning and transforming structured and unstructured data from multiple sources using Python, PySpark and SQL
- Building data models and reporting datasets that support Tableau and established analytics tools such as Spotfire
- Integrating established data warehouse and reporting systems with modern cloud analytics platforms
- Improving pipeline reliability, data quality and processing performance
- Implementing automated testing, monitoring, documentation and CI/CD practices
- Partnering with analysts, architects, developers and business stakeholders to deliver practical data solutions
- Providing technical guidance, reviewing code and mentoring other data engineer
Requirements
- 7+ years of experience in data engineering, including building and supporting production data pipelines
- Strong SQL skills and a solid understanding of data modeling, database design and data warehousing
- Hands-on experience with Databricks, Apache Spark and cloud data platforms
- Strong proficiency in Python and PySpark
- Experience developing ETL/ELT pipelines and integrating data from multiple source systems
- Experience preparing reliable datasets for Tableau or comparable business intelligence tools
- Familiarity with source control, automated testing and CI/CD practices
- Ability to troubleshoot complex data issues and optimize pipeline performance
- Strong communication skills and experience collaborating with technical teams and business stakeholders
- Experience with Spotfire, Oracle, Informatica, R or data virtualization preferred
- Databricks certification preferred
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