Deskripsi Pekerjaan
Are you ready to accelerate your career at the forefront of data innovation? Accenture is seeking a highly skilled Databricks Unified Data Analytics Platform Engineer to join our growing team in Metro Manila. In this role, you will play a pivotal part in designing, building, and optimizing scalable data architectures that empower our enterprise clients to derive actionable insights from complex datasets.
As part of our global data engineering practice, you will leverage the full power of the Databricks Lakehouse platform to bridge the gap between data engineering, data science, and business analytics. You will work on high-impact projects, implementing best-in-class data warehousing solutions and cloud-native analytics pipelines. If you are passionate about big data, cloud transformation, and solving challenging engineering problems, this is the environment where you can truly excel.
Tanggung Jawab
- Design, implement, and maintain robust data pipelines using Databricks and Spark.
- Architect and optimize scalable Data Warehouse solutions within the Databricks Lakehouse ecosystem.
- Collaborate with data scientists and analysts to ensure data quality, accessibility, and governance.
- Automate infrastructure provisioning and deployment using CI/CD methodologies and Infrastructure as Code (IaC).
- Troubleshoot performance bottlenecks and implement performance tuning for complex SQL queries and Spark jobs.
- Manage cloud resources in AWS, Azure, or GCP to ensure cost-effectiveness and high availability.
- Develop and enforce data security standards, ensuring compliance and data protection across all platforms.
Kualifikasi
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- Proven experience working with Databricks, Apache Spark, and Delta Lake.
- Strong proficiency in SQL, Python, or Scala for data processing and automation.
- Deep understanding of modern Data Warehousing concepts and ETL/ELT architecture.
- Experience with cloud service providers (AWS, Azure, or Google Cloud Platform).
- Knowledge of containerization technologies like Docker and Kubernetes.
- Strong analytical problem-solving skills and ability to communicate technical concepts to non-technical stakeholders.
- Industry certifications in Data Engineering or Databricks are highly desirable.