Cloud Data Engineer

Cognizant; Sydney; On-site; AUD 90,000 - 100,000; Full time

Job summary

Cognizant is seeking a results-driven Data Engineer in Sydney to design, build, and optimize scalable data pipelines across cloud and distributed systems. The role focuses on Python, PySpark, and SQL for ingestion, transformation, and data integration to support analytics and reporting.

You will work with data governance, metadata-driven frameworks, and cost‑effective optimization while collaborating with global teams to deliver reliable data solutions that empower business decision-making.

Qualifications

• Databricks Certified Data Engineer Associate.
• SQL (Advanced) - HackerRank.
• Python (Basic) – HackerRank.

Responsibilities

• Build scalable data pipelines on cloud services for ingestion, transformation, and storage.
• Develop data products integrating customer data from multiple sources into unified profiles.
• Create metadata-driven frameworks to ensure data quality, consistency, and governance.
• Write PySpark and Spark SQL scripts for complex transformations to optimize analytics pipelines.
• Support ETL processes by fixing errors, improving resiliency, and ensuring data integrity across reports and dashboards.
• Monitor data platforms, respond to alerts, and optimize pipelines for efficiency and cost.
• Perform RCA for job failures and ensure stability after releases.
• Collaborate with onsite and offshore teams to coordinate tasks and deliver projects smoothly.
• Participate in design reviews, implementation walkthroughs, and production deployments.
• Apply governance practices to maintain security, lineage, and regulatory compliance.
• Work with stakeholders and architects to capture requirements and deliver reliable solutions.
• Use Jira/Confluence/Bitbucket for project management and documentation.
• Lead projects through planning, prioritization, and coordination for successful delivery.

Skills

PySpark

Spark SQL

SAS

Databricks

Java

Python

Power BI

QlikView

RPA

Web Scraping

IBM Sterling

Education

Databricks Certified Data Engineer Associate

SQL (Advanced)

Python (Basic)

Tools

Azure

Databricks

AWS

Jira

Confluence

Bitbucket

Jenkins

Job description

What makes Cognizant a unique place to work? The combination of rapid growth and an unique place international and innovative environment! This is creating many opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world.

At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative, and successful. Moreover, this is your chance to be part of the success story.

Position Summary

Results-driven Data Engineer with expertise in designing, building, and optimizing scalable data pipelines across cloud and distributed systems. Skilled in Python, PySpark, and SQL for data ingestion, transformation, and integration, with a strong focus on improving efficiency, reducing costs, and ensuring data quality. Experienced in metadata-driven frameworks, ETL process enhancements, and governance practices to deliver clean, reliable data for analytics and reporting. Adept at collaborating with cross-functional teams, monitoring platform performance, and making continuous improvements to support business growth and decision-making.

Mandatory Skills

• Skills/Tools: Py-spark, Spark SQL, SAS, Databricks, Java, Python, Power Bi, Qlikview, Automation (RPA), web-scraping, IBM Sterling
• Database: Hive, Oracle, SSMS, etc
• Cloud Platform: Azure services, Databricks, AWS
• Language: Python, Java
• Ci/CD Tools: Bitbucket, Github and Jenkins
• Job Scheduler: Control-M, DataBricks workflows
• Monitoring and Logging: Skills in using monitoring tools and analysing the root cause using Spark Logs
• Security and Compliance: Understanding of security best practices and compliance requirements
• Business Domain Knowledge: Banking: Basel 4, Regulatory Reporting

Roles And Responsibilities

• Build and maintain scalable data pipelines using cloud services for ingestion, transformation, and storage.
• Develop data products that integrate customer data from multiple sources into unified profiles.
• Create metadata-driven frameworks to ensure data quality, consistency, and governance.
• Write Pyspark, and Spark SQL scripts to perform complex data transformations, ensuring data pipelines are efficient, scalable, and optimized for analytics and reporting.
• Support ETL processes by fixing errors, improving resiliency, and ensuring data integrity across reports and dashboards.
• Monitor data platforms, respond to alerts, and optimize pipelines for efficiency and cost reduction.
• Perform root cause analysis (RCA) for job failures and ensure stability after releases.
• Collaborate with onsite and offshore teams to coordinate tasks, align processes, and deliver projects smoothly.
• Participate in design reviews, implementation walkthroughs, and production deployments.
• Apply governance best practices to maintain security, lineage, and compliance with organizational and regulatory standards.
• Work closely with stakeholders and architects to capture requirements and deliver reliable solutions.
• Use Atlassian tools (Jira, Confluence, Bitbucket) for project management, documentation, and collaboration.
• Lead projects through effective planning, prioritization, and team coordination to ensure successful delivery.

Qualifications/Certifications

• Databricks Certified Data Engineer Associate
• SQL (Advance) - HackerRank
• Python (Basic) – HackerRank

Salary Range: 90k-100k

Date of Posting

3/11/2026

Cognizant is committed to providing Equal Employment Opportunities. Successful candidates will be required to undergo a background check.