
Senior Data Engineer
1 week ago
At Tikal, seniority isn't the end of learning - it's the start of your next leap.
Here, you define your tech journey: choose the technologies you want to master, set your own growth path, and gain the hands-on experience to become a
Data Engineer
Tech Lead.
Work with top-tier companies, tackle complex engineering challenges, and leave your mark on large-scale systems - all while staying at the forefront of technology.
This is a hybrid position.
Responsibilities:
- Design and build scalable data architectures (Data Lakes & Warehouses).
- Develop and optimize ETL & streaming pipelines (DBT, Spark/Flink/Kafka).
- Model and structure data for efficient storage, retrieval, and processing.
- Implement best practices for data governance, security, and quality.
- Scale cloud-based big data infrastructures on AWS/GCP.
Requirements:
- 5+ years of hands-on Python experience, or a strong background in Java (5+ years) with at least 3 years of Python.
- Experience in Building data lakes, including ingestion and transformation (DBT)
- Data Warehousing & ETL Pipelines
- SQL & Advanced Query Optimization
- Experience in data formats (Parquet, Avro, ORC)
- Experience in streaming (Spark Streaming, Flink, Kafka Streams, Beam, etc.)
- Experience in NoSQL and data storage (e.g. Elastic, Redis, MongoDB, CouchBase, BigQuery, Snowflake, Databricks)
- Experience in messaging (Kafka, RabbitMQ, etc.)
- Experience in cloud platforms (AWS, GCP)
Sounds like your next challenge? Let's talk.
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