In your role as a Data Engineer at Tikal, you'll be actively engaged in the most fascinating and demanding projects for our clients. Handling high-scale operations, heavy traffic, stringent SLAs, and massive data volumes is just the starting point. Our leadership in the realms of Big Data, Streaming Data, and Complex Event Processing (CEP) stems from our adept use of cutting-edge, optimal technologies.

Responsibilities:

• Apply software-engineering methods and best practices (Medallion Architecture) in Data Lake management.
• Develop data pipelines to provide ingest and transformation of data.
• Manage and enhance orchestrated pipelines across the company
• Data Modeling: Developing data models to ensure efficient storage, retrieval, and processing of data, often involving schema design for NoSQL databases, data lakes, and data warehouses.
• Scalability: Ensuring that the big data architecture can scale horizontally to handle large volumes of data and high traffic loads.
• Data Security: Implementing security measures to protect sensitive data, including encryption, access controls, and data masking.
• Data Governance: Establishing data governance policies to ensure data quality, compliance with regulations, and data lineage.

Requirements:

• 5 years of experience in Python (+Java / Scala)
• Experience in NoSQL and data storage (e.g. Elastic, Redis, MongoDB, CouchBase, BigQuery, Snowflake, Databricks)
• Experience in data formats (Parquet, Avro, ORC)
• Experience in Big Data Technologies (Spark, MapReduce… )
• Experience in streaming (Spark Streaming, Flink, Kafka Streams, Beam, etc.)
• Experience in messaging (Kafka, RabbitMQ, etc.)
• Experience with Machine Learning (Spark ML, TensorFlow, etc.) - Plus
• Experience in cloud platforms (AWS, GCP)