Lead Engineer - Data

Minimum 10 years of experience in Data Engineering or related roles

At least 2+ years in a Technical Lead (Data) capacity

Note: This is not a management position — 100% hands-on capability required

Proficiency in Python and SQL is essential, with proven experience in developing scalable data solutions.

Strong skills in writing clean, testable, and production-grade code for data transformation and orchestration.

Experience with version control systems like Git and collaborative development practices.

Familiarity with Scala or Java is a plus, particularly for big data processing frameworks.

Proven experience in designing and implementing enterprise-grade data lake solutions .

Hands-on experience with Cloud Data Engineering (AWS/GCP) , Databricks , Delta Lake , and lakehouse architectures .

Strong understanding of data warehouse concepts , including star and snowflake schemas .

Expertise in query performance tuning , data partitioning , compression , and storage optimization .

Understanding of data governance, access control , and security frameworks .

Familiarity with medallion architecture or equivalent multi-tier data processing frameworks.

Experience with real-time data streaming technologies such as Apache Kafka or AWS Kinesis .

Expertise in data pipeline architectures , data integration patterns, and orchestration tools.

Experience with data validation , testing frameworks , and data quality management.

Knowledge of data privacy , compliance , and security best practices .

Experience in connecting data pipelines to visualization layers for real-time analytics.

Understanding of semantic layer design and self-service data modeling .

Experience in end-to-end orchestration of pipelines from source systems to reporting tools.

Proficiency in data modeling techniques and database design principles .

Relevant cloud certifications (e.g., AWS Certified Data Analytics or Google Cloud Professional Data Engineer ).

Understanding of industry-specific data regulations (e.g., GDPR, CCPA, HIPAA) as applicable.

Knowledge of emerging trends in data engineering, such as data mesh and data fabric architectures.

Ollion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all employees. Ollion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or other non-merit factor.