14 days ago
Sydney, AustraliaStaff+
Responsibilities
- Design, develop, and maintain reliable batch and streaming data pipelines.
- Build and optimize Amazon Redshift data warehouse solutions, including schema design, workload management, query performance, and cost efficiency.
- Configure and manage Fivetran connectors, transformations, monitoring, and incident resolution.
- Develop scalable Databricks workflows and notebooks using Apache Spark and Delta Lake.
- Create modular, tested, and documented dbt transformation models.
- Implement data quality checks, lineage, observability, security, and governance controls.
- Partner with analysts, data scientists, product teams, and business stakeholders to create trusted data products.
- Troubleshoot pipeline failures, resolve data issues, and improve platform reliability through automation and monitoring.
- Participate in code reviews, release management, and continuous improvement of engineering standards.
Requirements
- Strong hands-on experience in data engineering, data warehousing, and ETL/ELT development.
- Advanced SQL skills and experience with relational and dimensional data modeling.
- Production experience with Amazon Redshift, including distribution styles, sort keys, performance tuning, and operational maintenance.
- Experience implementing and supporting Fivetran-based ingestion pipelines.
- Proficiency with Databricks, Apache Spark, and Delta Lake.
- Strong experience with dbt models, tests, macros, documentation, and deployment workflows.
- Proficiency with Python or another data engineering language.
- Experience with Git, CI/CD, orchestration, monitoring, and cloud security fundamentals.
- Strong analytical, troubleshooting, communication, and stakeholder-management skills.
- Preferred experience with AWS services including S3, IAM, Glue, Lambda, and CloudWatch.
- Knowledge of data cataloging, lineage, privacy, access control, and governance practices.
- Experience with Apache Airflow or Databricks Workflows is preferred.
- Relevant AWS, Databricks, or dbt certification is preferred.
Benefits
- Full-time role with opportunities for career development and innovative career tracks.
- Professional development through education and dedicated training.
- Compensation, benefits, and wellness packages.
- Opportunities to collaborate with talented colleagues and work with emerging industry technologies.
Tech Stack
Categories
Data Engineering
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.