A data solutions company in Georgia is seeking a qualified candidate with strong expertise in Databricks Lakehouse architecture and advanced experience with PySpark and Spark SQL. Ideal applicants will possess a deep knowledge of AWS services and data orchestration tools like Airflow. Strong communication and collaboration skills are essential to convey complex concepts effectively and to work across teams. This role offers an opportunity to significantly impact data platform development and operations.
Skills
Databricks Lakehouse architecture
PySpark
Spark SQL
Delta Lake
Performance tuning
Informatica PowerCenter
Teradata
Airflow
AWS services
Data reconciliation
Communication skills
Collaboration
Job description
Qualifications
Strong expertise in Databricks Lakehouse architecture on AWS.
Advanced hands-on experience with PySpark, Spark SQL, Delta Lake, and performance tuning.
Experience with Informatica power center or IDMC
Experience with Teradata
Experience with Airflow for orchestration and scheduling
Strong knowledge of AWS services used in data platforms
Familiarity with data reconciliation, observability, and validation frameworks
Strong communication skills to translate complex technical concepts into business-aligned outcomes
Ability to collaborate effectively across onshore and offshore delivery models