Вакансія Senior Big Data Software Engineer (Python+GCP)

Skills

• SQL
• Python
• ETL
• BigQuery
• DataFlow
• Apache Beam
• Apache Spark
• PySpark
• dbt
• Dataform
• DWH
• CI/CD
• Terraform
• GCP
• MSSQL
• PostgreSQl
• MySQL
• NoSQL

Опис вакансії

Big Data & Analytics is the Center of Excellence's data consulting and data engineering branch. Hundreds of data engineers and architects nowadays build data and analytics end-to-end solutions from strategy through technical design and proof of concepts to full-scale implementation. We have customers in the healthcare, finance, manufacturing, retail, and energy domains.
We hold top-level partnership statuses with all the major cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others.

If you are

• Skilled in SQL, Python, and building/optimizing ETL pipelines
• Experienced with BigQuery, Dataflow (Apache Beam) or Dataproc (Spark/PySpark), dbt/Dataform
• Aware of data modelling and DWH architecture
• Familiar with Data Quality metrics, checks, and reporting
• Comfortable with DataOps practices (CI/CD, Terraform)
• Open to exploring AI tools for Data Engineering (code generation, profiling, etc.)
• Holding (or aiming for) a GCP certification
• Knowledgeable about Dataplex, MSSQL, PostgreSQL, MySQL, or NoSQL (would be a plus)

And you want to

• Be part of a team of data-focused engineers committed to continuous learning, improvement, and knowledge-sharing
• Design and optimize scalable data pipelines in GCP
• Engage with customers from diverse backgrounds, including large global corporations and emerging startups
• Work with modern data engineering stack (BigQuery, dbt/Dataform, Dataflow/Dataproc)
• Apply best practices in DataOps, CI/CD and Terraform
• Ensure data quality through checks and reporting
• Leverage AI-powered tools to accelerate engineering tasks
• Contribute to data architecture design and innovation in DWH solutions
• Grow your expertise with cloud certifications and advanced GCP tools
• Participate in the entire project lifecycle, from initial design and proof of concepts (PoCs) to minimum viable product (MVP) development and full-scale implementation