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Accountant
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accountingpayrollcompensation
Data Science3 months agoHybrid
Merkle
(Senior) Data Engineer
data engineerbig datacloudpythonazureawsgcpdatabricksetlci/cdmachine learningdata pipelinesdata lakehousestreamingkafkaairflowdata scienceanalyticsbusiness intelligence
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Mid Senior
Years experience
3-7
Location
Prague, Czech Republic
Full job description
Merkle, a dentsu company, is seeking a mid to senior Data Engineer to design and build big data architecture pipelines for data lakehouses in cloud environments. Responsibilities include data ingestion, processing, supporting machine learning model deployment, collaborating with BI consultants, and automating CI/CD pipelines. Candidates should have 3-7 years of experience with Python, cloud data services (Azure, AWS, GCP), big data technologies (Databricks, Snowflake, etc.), relational and NoSQL databases, streaming technologies (Kafka, Event Hubs), orchestration tools (Airflow, dbt), and CI/CD tools (Azure DevOps, Jenkins). Strong analytical and communication skills are required. The role offers hybrid work flexibility and is located in Prague, Czech Republic.
What you'll do
- Design and implement data ingestion and processing pipelines using public cloud services
- Assist stakeholders with data-related technical issues and infrastructure needs
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