Data Engineer - Lead @ Fission Labs

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 www.fissionlabs.com in*o@fi********s.com

Implement and manage Databricks Unity Catalog for centralized data governance

and access control across the organization.

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

Strong 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 lake architectures using AWS S3

Experience with Databricks Unity Catalog or similar data governance and metadata

management tools

Tech Stack

Databricks, Python, PySpark, SQL, Airflow, FastAPI, AWS (S3, IAM, ECR, Lambda), Rockset,

Clickhouse, CrateDB

Opportunity to work on business challenges from top global clientele with high impact.

Vast opportunities for self-development, including online university access and

sponsored certifications.

Sponsored Tech Talks, industry events seminars to foster innovation and learning.

Generous benefits package including health insurance, retirement benefits, flexible

work hours, and more.

Supportive work environment with forums to explore passions beyond work.

This role presents an exciting opportunity for a motivated individual to contribute to the

development of cutting-edge solutions while advancing their career in a dynamic and

collaborative environment.