Senior Data Engineer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Senior Data Engineer - Python, Spark & Databricks

4-7 Years

6:00 PM - 3:00 AM IST (US Business Hours Shift)

Remote

0-15 days(Looking for immediate joiners or currently serving Notice period)

Design, build, and optimize scalable real-time and batch data pipelines using Python, SQL, PySpark, Spark Structured Streaming, Delta Live Tables, and Medallion Architecture (Bronze, Silver, Gold layers) for high-performance analytics.Must have hands-on experience working with terabyte-scale (TB) datasets and designing distributed data processing solutions. •

Manage Databricks workflows, clusters, and Delta Lake. Implement Unity Catalog for metadata management, fine-grained access control, OAuth-based authentication, and enterprise security compliance. •

Experience working with at least one major cloud platform (GCP, AWS, or Azure). Lead cloud migrations from legacy databases (Oracle, Teradata, SQL Server) to cloud environments (GCS, AWS S3, Azure Data Lake Storage, Snowflake, Redshift). •

Build end-to-end CI/CD pipelines using Terraform and GitHub Actions to automate data pipeline deployments, infrastructure provisioning, and proactive monitoring. •

Develop and deploy custom data processing scripts and data-driven APIs using Python and web frameworks like Flask. •

Utilize Docker for containerized processing and evaluate emerging technologies for data-intensive machine learning tasks. •

Work closely with business stakeholders and cross-functional engineering teams to translate business requirements into technical architectures and data-driven insights.

Advanced hands-on experience in Python, SQL, PySpark, and expert-level SQL query optimization for massive datasets. •

Strong proficiency in Databricks functionalities, including Workflows, Unity Catalog, Delta Lake, and Delta Live Tables. •

Deep familiarity across major cloud environments (GCP, AWS S3/Redshift, Azure ADLS Gen2). •

Solid experience in Terraform, GitHub Actions, Docker, and CI/CD best practices for data platforms. •

Practical experience with Python web frameworks such as Flask. •

Strong problem-solving, communication, and ownership skills to guide projects and mentor team members in a fast-paced environment. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !