Must have

• Python

• PostgreSQL

• Cloud computing

• ETL

• Big data

• Kubernetes

• Clouds

• English

• Polish

Nice to have

• Google BigQuery

• Machine learning

Requirements description

• Good knowledge of Python and SQL.
• Experience with any of the major SQL databases(PostgreSQL preferred).
• Strong knowledge of cloud computing platforms (Azure/GCP/AWS).
• Familiarity with containerization technologies (Docker/Kubernetes).
• Experience with ETL and Big Data elements (Spark, Kafka, etc.).
• Basic experience in DevOps (Terraform/CloudFormation/Pulumi).
• Ability to work in a team and a proactive approach to problem-solving.
• Experience with data-wrangling libraries such as Pandas or Polars.

You may have

• Hands-on experience with Google BigQuery, Redshift/Glue/S3/Lambda/Athena.
• Familiarity with Snowflake, Databricks.
• Any experience with data integration or orchestration platforms, such as: Airbyte, Fivetran, Airflow, Dagster, etc.
• Experience with machine learning.

Offer description

We are looking for a Data Engineer to join our team. A specialist responsible for designing, developing, and maintaining scalable data pipelines and infrastructure to support AI- and data-driven solutions.

Your responsibilities

1. Designing, developing, and maintaining data pipelines (ETL/ ELTs).
2. Working with a variety of data sources (such as streaming data, batch-data, data from production systems, data from ML models).
3. Ensuring the stability and performance of data pipelines, including monitoring and troubleshooting.
4. Collaborating with Data Scientists, Software Engineers, and other specialists to implement data-driven solutions.
5. Analyzing new potential data sources and integrating them into existing pipelines.
6. Assist DevOps/MLops in configuring system infrastructure in “Infrastructure as a Code” manner (including deployment of your code solution).

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