Project for pharmacy sector - a key project in the field of creating Data Products and reporting solutions supporting decisions for organizations servicing diagnostic instruments.

Senior Data Engineer (Snowflake)

Your responsibilities

• Analyze and organize raw data.
• Build data systems and pipelines.
• Evaluate business needs and objectives.
• Interpret trends and patterns.
• Conduct complex data analysis and report on results.
• Prepare data for prescriptive and predictive modeling.
• Build algorithms and prototypes.

Our requirements

• 4+ years of working with programming language focused on data pipelines,eg. Python or R
• 2+ years' working with Snowflake
• 4+ years of experience working with SQL
• 3+ years of experience in data pipelines maintenance
• 3+ years of experience with different types of storage (filesystem, relation, MPP, NoSQL) and working with various kinds of data (structured, unstructured, metrics, logs, etc.)
• 3+ years of experience in working in data architecture concepts (in any of following areas data modeling, metadata mng., workflow management, ETL/ELT, real-time streaming, data quality, distributed systems)
• 3+ years of cloud technologies with emphasis on data pipelines (Airflow, Glue, Dataflow - but also other smart solutions of handling data in the cloud - elastic, redshift, bigquery, lambda, s3, EBS etc.)
• Very good knowledge of data serialization languages such as JSON, XML, YAML
• Excellent knowledge of Git, Gitflow and DevOps tools (e.g. Docker, Bamboo, Jenkins, Terraform
• Capability to conduct performance analysis, troubleshooting and remediation (optional)
• Excellent knowledge of Unix
• Very good knowledge of relational databases
• DBT experience