
Master Data Engineer
7 days ago
Description:
We are seeking a seasoned Data Architect to lead the design and development of innovative data solutions. The ideal candidate will have a strong background in software development, data structures, and algorithms with a focus on backend and data engineering.
Key Responsibilities:
- Develop and implement data architectures that meet business requirements.
- Collaborate with cross-functional teams to design and develop data-intensive applications.
- Lead the development of data models, data warehouses, and data lakes.
- Analyze complex technical problems and develop high-quality features.
- Interact directly with clients for requirement gathering and build holistic roadmaps.
- Identify risks and develop mitigation strategies.
Requirements:
- 10+ years of experience in software development and data structures/algorithms with a focus on backend and data engineering.
- 8+ years of hands-on experience in using Python, JVM, and Shell Scripting with production experience.
- 5+ years of proven experience in building cloud-native data-intensive applications, Amazon Web Service experience is a must.
- Experience in Databricks and dbt is required.
- Highly proficient in architecting and implementing workflow management systems, Airflow is a must.
- Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Hands-on experience of building and maintaining Spark applications.
- Fundamental understanding of Parquet, Delta Lake, and other OTFs file formats.
- Proficiency in an IaC tool such as Terraform, CDK, or CloudFormation is a must.
- Experience with observability systems (such as Datadog or Prometheus/Grafana).
- Strong experience in building CI/CD processes, experience with GitHub Actions, ArgoCD, or Jenkins is good to have.
- Experience with unit testing and test automation frameworks.
Soft Skills:
- Client communication and requirement gathering.
- Comfortable providing and receiving constructive feedback.
- Focus on business value vs engineering interest.
- Pro-active and service-oriented towards internal customers.
Bonus Points:
- Familiarity with machine learning and AI concepts.
- Experience with data visualization tools.
- Knowledge of DevOps practices.
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