Senior BigQuery SQL Engineer | Data Analytics & Python in Sydney

Senior BigQuery SQL Engineer | Data Analytics & Python in Sydney

Sydney Full-Time 56250 - 68750 $ / year (est.) On-site
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At a Glance

  • Tasks: Design and optimise complex SQL queries using Google BigQuery for data analytics.
  • Company: Join Tech Mahindra, a leading tech firm in Sydney with a focus on innovation.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Work independently with onshore teams and explore cloud platforms.
  • Why this job: Make an impact by delivering scalable data solutions in a dynamic environment.
  • Qualifications: 12+ years of SQL development experience and strong RDBMS skills required.

The predicted salary is between 56250 - 68750 $ per year.

Tech Mahindra in Sydney is seeking a highly experienced SQL Developer to design, optimize, and maintain complex SQL queries and views.

The role focuses on Google Big Query for analytics and data transformations, with exposure to Python (Pandas) for data wrangling.

The ideal candidate will have 12+ years SQL development, strong RDBMS experience, and ability to work independently with onshore stakeholders to deliver scalable solutions.

Familiarity with cloud platforms and data governance is a plus.

Senior BigQuery SQL Engineer | Data Analytics & Python in Sydney employer: Tech Mahindra

Tech Mahindra is an exceptional employer in Sydney, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from comprehensive professional development opportunities, competitive remuneration, and a supportive environment that values work-life balance. Join us to be part of a forward-thinking team dedicated to delivering impactful solutions while enjoying the vibrant lifestyle that Sydney has to offer.

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Contact Details:

Tech Mahindra Recruitment Team

We think you need these skills to ace Senior BigQuery SQL Engineer | Data Analytics & Python in Sydney

Python
SQL
Problem-Solving Skills
Communication Skills
Automation
Data Engineering
Data Pipeline Development