● 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, implementing best
practices for data lakes and data warehouses.
Private and Confidential (HIDDEN TEXT)
● Implement and manage Databricks Unity Catalog for centralized data governance
and access control across the organization.
Qualifications Required
● Bachelor's or Master's degree in Computer Science, Engineering, or related field
● 5+ years of experience in data engineering, with at least 2-3 years in a lead role
● Strong proficiency in Python, PySpark, and SQL
● Extensive experience with Databricks and AWS cloud services
● Hands-on experience with Airflow for workflow orchestration
● Familiarity with FastAPI for building high-performance APIs
● Experience with columnar databases like Rockset, Clickhouse, and CrateDB
● Solid understanding of data modeling, data warehousing, and ETL processes
● Experience with version control systems (e.g., Git) and CI/CD pipelines
● Excellent problem-solving skills and ability to work in a fast-paced environment
● Robust communication skills and ability to work effectively in cross-functional teams
● Knowledge of data governance, security, and compliance best practices
● Proficiency in designing and implementing data l