Join a team that combines business knowledge, technological edge, and design experience to develop innovative solutions for digital clients. As a Data Engineer, you'll be responsible for building and maintaining data platforms, designing scalable data pipelines, and collaborating with cross-functional teams to ensure data accuracy and integrity.
Requirements
- Experience with cloud platforms and services for data engineering (AWS)
- Proficiency in programming languages like Python, Java, or Scala
- Use of Big Data Tools such as Spark, Flink, Kafka, Elastic Search, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams and Connect, Druid, etc.
- Knowledge of data modeling and database design principles
- Familiarity with data integration and ETL tools (e.g., Apache Kafka, Talend)
- Understanding of distributed systems and data processing architectures
- Strong SQL skills and experience with relational and NoSQL databases
- Familiarity with other cloud platforms and services for data engineering (e.g., GCP, Azure Data Factory)
- Experience with version control tools such as Git
Benefits
- Diverse and inclusive workplace
- Equal-opportunity employer
- Dedicated to providing reasonable accommodations for candidates with specific needs