Master Data Engineer

7 days ago


Bengaluru, Karnataka, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title: Data Architect

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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