We are currently looking for a Data Platform Engineer to join our client’s Data Product Team!
As a Data Platform Engineer, your key responsibility will be to build a scalable, self-serve data platform for both technical and non-technical users. You will craft services tailored to these personas, ensuring the platform is accessible, efficient, and robust. This involves developing cloud-based data solutions, providing technical guidance, and continuously optimizing platform performance.
responsibilities :
Design cloud solutions and architecture using AWS services and Databricks.
Optimize cloud costs and ensure efficient resource utilization.
Integrate and manage data pipelines in AWS.
Ensure the scalability, reliability, and performance of enterprise systems.
Maintain data quality and integrity across platforms.
Collaborate closely with data teams and contribute to agile development processes.
requirements-expected :
Proven experience in building cost-effective, performant data pipelines.
Proficiency in Infrastructure as Code (e.g., Terraform).
Experience with DevOps tools (CI/CD, Docker, Kubernetes).
Knowledge of AWS security best practices and compliance.
Expertise in PII management and data governance.
Strong programming skills in SQL and Python, especially in Apache Spark.
Experience developing and maintaining Databricks platforms.
Bachelor’s or Master’s degree in Computer Science or equivalent.
Strong collaboration and communication abilities.
Problem-solving skills, connecting insights to outcomes.
Adaptability and resilience in navigating challenges.
Proactivity in seeking growth opportunities.
offered :
Flexible work hours and hybrid work environment.
Discounts on our award-winning products.
Family-friendly benefits and extensive learning opportunities.
