
Data Engineer
3 days ago
Roles and Responsibilities:
· Using Snowflake for data storage, querying, and developing optimized SQL queries, contributing to efficient data retrieval and reporting.
· Leading design and implementation of ETL pipelines using GBI ETL tools, supporting data integration from multiple sources into the data warehouse, and ensuring robust data flows and system enhancements.
· Creating complex SQL queries for extraction, transformation and analysis
· Perform data validation and quality checked using SQL queries
· Using Python for data engineering tasks, including developing ETL processes and automating data pipelines, optimizing system performance, and delivering scalable solutions.
· Leading technical teams, driving system performance optimization, and managing end-to-end BI operations
Mandatory Skills:
· Datawarehouse : Snowflake
· DB : Advanced SQL
· Language : Python
· Framework : GBI ETL
· Experience with Data Engineering & Data Analysis
Secondary Skills:
· Big Data : SCALA, HADOOP, S3, GCS
· Tools: Airflow, DBT, AWS Glue
· Collaboration skills - with Data Analysts, BI teams, Backend Engineers
· Knowledge of data privacy, encryption and audit logging
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