Lead Data Engineer R
Job Summary
Lead Data Engineer
Primary Skills
- Athena Step Functions Spark - Pyspark ETL Fundamentals SQL (Basic Advanced) Glue Python Lambda Data Warehousing EBS /EFS AWS EC2 Lake Formation Aurora S3 Modern Data Platform Fundamentals PLSQL Data Modelling Fundamentals Cloud front
Specialization
- AWS Data EngineerIng Basic: Senior Data Engineer
Job requirements
- Strong experience in data engineering ETL (preferably Informatica) and data architecture Experience working with Salesforce platforms and data models Hands-on experience with Airflow and MuleSoft Strong SQL skills with Snowflake and other relational databases Experience writing complex Python modules for custom ETL workflows Expertise in building batch and real-time data pipelines Experience with dbt for data transformation and modeling Familiarity with AWS/GCP and distributed/event-driven architectures Strong understanding of data modeling data warehousing and big data processing Experience with data quality monitoring and pipeline orchestration frameworks Ability to work closely with Product Data Science and Analytics teams Experience working on Salesforce Flows and Apex is a plus Good understanding of Agile delivery process
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.