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Data Engineer Spark/Scala
hace 2 meses
Job Title: Data Engineer Spark/Scala
About the Role:
We are seeking a highly skilled Data Engineer with expertise in Spark and Scala to join our team at ToBeIT. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining large-scale data processing systems.
Key Responsibilities:
- Ingest and process large datasets using Spark and Scala.
- Develop and maintain scalable data pipelines to meet business requirements.
- Collaborate with cross-functional teams to design and implement data-driven solutions.
- Ensure data quality, integrity, and security.
- Stay up-to-date with industry trends and emerging technologies.
Requirements:
- At least 2 years of experience working with big data technologies (Spark, Hadoop, Hive, Kafka).
- At least 2 years of experience programming with Spark and Scala.
- Experience with various database structures, including SQL (Postgres, MySQL, etc.).
- Experience working in agile, continuous integration, and DevOps paradigms and tool sets (Git, Jenkins, Sonar, Nexus, Jira, Splunk).
- Experience with data integration and data management with high data volumes.
Desirable Requirements:
- Experience with AWS ecosystem (AWS, EMR, S3, Redshift, Lambda, Glue, Athena).
- Experience with NoSQL databases (Cassandra, Redis, Elasticsearch).
- Experience with data warehousing and visualization tools.
- Experience with real-time applications (Flink, Spark Streaming, HBase).
- Experience with Cloudera.
- Experience with machine learning.
What We Offer:
At ToBeIT, we offer a dynamic and challenging work environment that fosters growth and development. We are committed to providing our employees with the necessary tools and resources to excel in their roles.
