Senior Data Engineer, AWS

October 30

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Keyrus

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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

🤝 B2B

📋 Description

• Design, build, and maintain scalable and reliable data pipelines and database systems, managing solutions and automating processes. • Implement data solutions using cutting-edge technologies such as Spark, Python, and various AWS services (S3, Redshift, EMR, Athena, Glue). • Identify and address gaps in team capabilities and processes to improve team efficiency and success. • Develop and maintain data infrastructure, ensuring efficient handling of large-scale data processing and storage.

🎯 Requirements

• Experience with data engineering and Big Data projects. • Programming skills in Python, Java, Scala, or similar languages. • Hands-on experience building scalable data platforms and reliable data pipelines using technologies such as Spark, Hadoop, Databricks, AWS SQS, AWS Kinesis, Kafka, etc. • Deep knowledge of data processing; comfortable working with large-volume datasets and high-scale data ingestion, transformation, and distributed processing. • Experience with the latest technologies and trends in data platforms and cloud. • Familiarity with industry databases and analytical technologies, including Data Warehousing, Data Lakes, ETL, and relational databases.

🏖️ Benefits

• We do not allow any form of discrimination. • We encourage everyone to participate in our hiring process, regardless of gender, age, race, or religion.