Data Engineer(AWS | Azure | GCP | Databricks)

Job Application Link:https://app.fabrichq.ai/jobs/2a67ae57-0ab2-4f16-a20b-4393c419c58d

Job Summary:

Senior Data Engineer responsible for designing, developing, and managing data infrastructure and pipelines. Leads technical aspects of data workflows includin,g ETL processes, storage optimization, and API development using Databricks, AWS, Azure, GCP and various databases. Provides technical leadership and mentorship while ensuring data quality, security, and compliance.

Key Responsibilities

• Lead the design, development, and maintenance of data pipelines and ETL processes
• Architect and implement scalable data solutions using Databricks and AWS
• Optimize data storage and retrieval systems using Rockset, Clickhouse, and CrateDB
• Develop and maintain data APIs using FastAPI
• Orchestrate and automate data workflows using Airflow
• Collaborate with data scientists and analysts to support their data needs
• Ensure data quality, security, and compliance across all data systems
• Mentor junior data engineers and promote best practices in data engineering
• Evaluate and implement new data technologies to improve the data infrastructure
• Participate in cross-functional projects and provide technical leadership
• Manage and optimize data storage solutions using AWS S3
• Implement and manage Databricks Unity Catalog for centralized data governance

Must Have Skills

• Databricks and AWS/GCP/Azure cloud services
• Python, PySpark, and SQL programming
• Airflow for workflow orchestration
• Data modeling, warehousing, and ETL processes
• Version control systems (Git) and CI/CD pipelines
• Data governance, security, and compliance

Why Join Fission Labs?

• Work on modern cloud data stacks (Databricks, multi-cloud, streaming)
• Strong engineering culture with technical ownership
• Opportunity to lead architecture and mentor teams
• Hybrid workplace model