Lead / Senior Data Engineer

Role: Lead Senior Data Engineer
Experience: 5-10 years
Location: Hyderabad (Hybrid)
Fission Labs, Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward. With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals.
Role Overview
Senior Data Engineer is responsible for overseeing the design, development, and management of data infrastructure and pipelines within an organization. This role involves a mix of technical leadership, project management, and collaboration with other teams to ensure the efficient collection, storage, processing, and analysis of large datasets. The Lead Data Engineer typically manages a team of data engineers, architects, and analysts, ensuring that data workflows are scalable, reliable, and meet the business’s requirements.
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, implementing best practices for data lakes and data warehouses.
Implement and manage Databricks Unity Catalog for centralized data governance and access control across the organization.
Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or related field
5+ years of experience in data engineering, with at least 2 years in a leading project
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
Nice To Have
Experience with real-time data processing and streaming technologies
Familiarity with machine learning workflows and MLOps
Certifications in Databricks, AWS
Experience implementing data mesh or data fabric architectures
Knowledge of data lineage and metadata management best practices
Tech Stack
Databricks, Python, PySpark, SQL, Airflow, FastAPI, AWS (S3, IAM, ECR, Lambda), Rockset, CLickhouse, CrateDB
You Would Enjoy
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.

Work arrangement
Hybrid