2 дня назад
Senior Snowflake Developer (Airflow)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Snowflake Developer with Airflow (Data Warehouse Platform): Building a data lakehouse with Snowflake and Azure SQL, including scalable data pipelines, warehouse structures, and query optimization with an accent on Snowflake platform engineering, Airflow orchestration, and dimensional modeling. Focus on designing layered and Medallion architectures, developing Python and SQL procedures and UDFs, and tuning complex analytical workloads.
Location: Armenia, Bulgaria, Cyprus, Georgia, Kazakhstan, Latvia, Poland, Romania, Serbia, or Ukraine
Company
is a global software engineering company delivering data, analytics, and AI solutions for clients across multiple industries.
What you will do
- Develop Snowflake data platform solutions and scalable data pipelines.
- Build and optimize Snowflake databases, schemas, tables, views, and materialized views.
- Create Snowflake stored procedures and UDFs using Python and SQL.
- Orchestrate ETL and ELT workflows with Airflow.
- Design data warehouses using layered architecture, Medallion architecture, and dimensional modeling.
- Develop Azure SQL Database and MS SQL structures, optimize complex queries, and improve database performance.
Requirements
- 7+ years of overall IT experience and 5+ years in data projects.
- Strong experience with Snowflake platform engineering, Snowflake SQL, databases, schemas, tables, views, and materialized views.
- Experience with Snowflake stored procedures and UDFs using Python and SQL, as well as Airflow and Python.
- Experience with Azure SQL Database, MS SQL DB, T-SQL, indexes, partitions, analytical functions, and window functions.
- Experience building data warehouses, applying layered and Medallion architectures, and implementing dimensional modeling.
- Good English and the ability to collaborate across data projects.
Nice to have
- Experience with dbt, Snowpark, Snowflake CLI, or Master Data Management.
- Experience with data quality testing, validation, reconciliation, and technical documentation.
- Investment banking or asset management domain knowledge.
- Experience with Claude AI in the software development lifecycle.
Culture & Benefits
- Flexible work options, including office, hybrid, and fully remote formats, depending on the role and region.
- Vacation, sick pay, and time off for state holidays according to applicable country rules.
- Health insurance support for employees and their loved ones.
- IT certification cost coverage, professional courses, mentoring, and learning platforms.
- Corporate equipment or BYOD options, mental health support, and professional development programs.
Hiring process
- CV review followed by an HR interview.
- Communication and technical assessments, including English and technology evaluation.
- Project team discussion and potential client interview preparation.
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