Keyrus
B2B ⢠Data Analytics ⢠Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
1001 - 5000 employees
Founded 1996
đ¤ B2B
Senior Data Engineer
November 26
đŁď¸đ§đˇđľđš Portuguese Required
Keyrus
B2B ⢠Data Analytics ⢠Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
1001 - 5000 employees
Founded 1996
đ¤ B2B
đ Description
⢠Develop and maintain efficient data pipelines using technologies such as AWS S3, Glue, Redshift, Lambda, and Databricks. ⢠Implement extraction, transformation, and loading (ELT) processes to ensure data availability and integrity. ⢠Collaborate with internal teams to understand data requirements and design scalable solutions. ⢠Develop scripts and code in Python / PySpark for automation and data processing. ⢠Ensure data quality and integrity by implementing data modeling and ETL/ELT best practices. ⢠Troubleshoot technical issues and optimize the performance of data pipelines.
đŻ Requirements
⢠Strong experience with AWS ELT, S3, Glue, Redshift, Lambda, Databricks, Python / PySpark, and SnapLogic. ⢠Deep knowledge of SQL databases and relational database management systems (RDBMS). ⢠Experience in data modeling and ETL/ELT processes. ⢠Fluency in English.
đď¸ Benefits
⢠Diversity and inclusion ⢠Continuing education
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