Senior Data Engineer - São Paulo, Brazil - Remote
About the Role:
Our client is looking for a Senior Data Engineer (3-8 Yrs Only) to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.
You're excited about this opportunity because you will :
Work with business partners and stakeholders to understand data requirements
Work with engineering, product teams and 3rd parties to collect required data
Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes
Manage a portfolio of data products that deliver high-quality, trustworthy data
Help onboard and support other engineers as they join the team
Interviews will be conducted in English
We're excited about you because
3+ years of professional experience
3+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java
3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
Expert in Database fundamentals, SQL and distributed computing
3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms
Excellent communication skills and experience working with technical and non-technical teams Knowledge of reporting tools such as Tableau, Superset and Looker
Comfortable working in fast paced environment, self starter and self organizing
Ability to think strategically, analyze and interpret market and consumer information
You must be located near one of our engineering hubs indicated ab ove.