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Data Engineering Leader

1 month ago

Sydney, New South Wales, Australia Cognizant Full time

About Cognizant

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses.

Estimated Salary: $120,000 - $180,000 per year

We are seeking an experienced Data Engineering Leader to join our team. As a key player in our dynamic team, you will have the opportunity to design and implement cutting-edge solutions for leading Australian organizations, leveraging the power of Databricks to solve complex business challenges.

Key Responsibilities:

  • Diving deep into customer objectives, goals, and challenges, positioning yourself as a trusted advisor in their data transformation journey.
  • Spearheading the design and deployment of large-scale Databricks environments on Azure and/or AWS, setting new industry benchmarks.
  • Collaborating with cross-functional teams to architect optimal data solutions and enhance analytical capabilities, driving innovation across organizations.
  • Crafting, developing, and maintaining scalable data pipelines, reusable frameworks, and platforms using Databricks, contributing to our growing suite of proprietary solutions.
  • Staying at the cutting edge of data engineering and cloud technologies, ensuring Cognizant remains a step ahead in the rapidly evolving tech landscape.
  • Optimizing cluster performance and resource allocation to enhance processing efficiency and minimize costs.
  • Mentoring junior engineers and fostering knowledge sharing within the team, contributing to our culture of continuous growth and excellence.

Required Skills and Qualifications:

  • Mastery of Databricks core components including DataFrames, Datasets, Spark SQL, Delta Lake, Databricks Notebook, DBFS, and Databricks Connect.
  • Hands-on experience architecting with Databricks, Azure Data Services, and related technologies, with Azure and/or AWS Databricks certifications.
  • Strong understanding of data architecture principles, including data modeling, ETL processes, data governance, data quality, privacy, and security controls.
  • Proficiency in SQL, data analysis tools, and familiarity with programming languages such as Python, PySpark, Scala, and others.
  • Exceptional problem-solving skills with the ability to analyze complex issues and develop effective, scalable solutions.
  • Excellent communication skills: Strong written and verbal abilities to effectively collaborate with team members and stakeholders at all levels.
  • Familiarity with AWS or Azure for deploying and optimizing Databricks environments.

Benefits:

  • Competitive salary range.
  • Opportunities for career growth and professional development.
  • A collaborative and inclusive work environment.
  • A comprehensive benefits package, including health insurance, retirement plans, and paid time off.

Location: Sydney or Melbourne, Australia.