AWS Data Engineer with Databricks job vacancy

Vacancy expired!

Required Skills:

What the ideal candidate looks like:

5+ years of experience designing, building, deploying, testing, maintaining, monitoring and owning scalable, resilient and distributed data pipelines.
High Proficiency in at least two of Scala, Python, Spark or Flink applied to large scale data sets.
Strong understanding of workflow management platforms (Airflow or similar).
Familiarity with advanced SQL.
Expertise with big data technologies (Spark, Flink, Data Lake, Presto, Hive, Apache Beam, NoSQL, ).
Knowledge of batch and streaming data processing techniques.
Obsession for service observability, instrumentation, monitoring and alerting.
Understanding of the Data Lifecycle Management process to collect, access, use, store, transfer, delete data.
Strong knowledge of AWS or similar cloud platforms.
Expertise with CI/CD tools (CircleCI, Jenkins or similar) to automate building, testing and deployment of data pipelines and to manage the infrastructure (Pulumi, Terraform or CloudFormation).
Understanding of relational databases (e.g., MySQL, PostgreSQL), NoSQL databases (e.g., key-value stores like Redis, DynamoDB, RocksDB), and Search Engines (e.g., Elasticsearch). Ability to decide, based on the use case, when to use one over the other.
Familiarity with recommendation and search to personalize the experience for millions of users across million items.

Please send the resume to or you can reach me at Directlt;/p>