Data Engineer - ETL and SQL expertise
Core
Design and build robust data pipelines, optimize data handling, and create ETL processes to integrate disparate systems and support data warehousing and data lakes.
Role type
Senior individual contributor data engineer (ETL/SQL)
Builds
ETL pipelines, data pipelines, and data storage systems
Domain
Data engineering, data warehousing, and data lakes
Required skills
SQL query development, Python, Java, C++, C++, RDBMS concepts, data modeling, API integration (SOAP, REST), ETL development, DAG development, database manipulation (DML, stored procedures, triggers, materialized views), report and dashboard creation
Preferred skills
Apache Spark, Node.js, cloud-based business applications
Technologies
Airflow, Cloud, ETL, Flow, JSON, Java, Oracle, Power BI, Python, Qlik, REST, SOAP, SQL, Spark, SSIS, Tableau, NodeJS, Support
Responsibilities
Design and build robust and efficient data pipelines, Create and refine complex SQL queries for data extraction and analysis, Integrate disparate systems to ensure seamless data flow, Develop reports and interactive dashboards to visualize data insights, Conduct testing and troubleshooting of data-related processes, Contribute to the architectural design of data storage systems
