The person in this role will work with project teams developing a modern data platform in a cloud environment for global brands. They will work in an international environment and specialize in BI & Big Data cloud architecture and the latest technologies in that area, as well as promote the principals of the DataOps manifesto.

Responsibilities:  

• Building ETL/ELT pipelines of data from various sources using SQL/Python/Spark  

• Ensuring that data are modelled and processed according to architecture and requirements both functional and non-functional 

• Understanding and implementing required development guidelines, design standards and best practices always 

• Working cross-functionally with enterprise architects, data management teams, cloud integration architects, information security teams, and platform teams 

• Delivering right solution architecture, automation and technology choices starting from experimentation and proof of concept phases of new analytical models that generate insights and answers to business question 

• Suggesting and implementing architecture improvements

Requirements: 

• Very good knowledge of any SQL dialect (T-SQL, PL/SQL, PostgreSQL etc.) 

• Knowledge of programming language (Python, Scala) 

• Knowledge of Data Warehouse, Data Lake, Big Data, ETL/ELT issues supported by a minimum of 2 years of professional work experience 

• Ability to create and orchestrate ETL/ELT processes (ADF, Airflow, Step Function, Databricks Workflows, dbt, Glue, Snowpipe) 

• Ability to model data (Star schema, Lakehouse, Data Vault, Data Mesh). 

• Practical knowledge of various relational as well as non-relational database engines in the cloud (Amazon Aurora, Amazon Redshift, Azure Synapse, Azure Cosmo DB, Databricks, Snowflake, etc.) 

• Analytical approach to problem solving - the ability to divide the business requirement into smaller elements (feature -> user story -> task) along with an accurate estimation of the time needed for the task 

• Very good knowledge of English (minimum B2) 

• Independence, efficiency and responsibility for assigned tasks 

Nice to have: 

• Hands-on experience with data services offered by AWS or Azure cloud 

• Knowledge of Apache Spark – work experience with PySpark (i.e., AWS Glue, AWS EMR, Databricks, Azure Synapse Spark Pools) 

• Knowledge of Hive Metastore (i.e., AWS Glue Data Catalog, Databricks Unity Catalog, Apache Nifi, Presto, Apache Atlas, Hortonworks DataPlane, Cloudera Navigator) 

• Knowledge of Git repos and CI/CD services 

• Knowledge of ticket management tools (JIRA, ClickUp) and knowledge base (Confluence, SharePoint) 

• Having specialized certifications in the area of data management (e.g., from AWS, Microsoft, Databricks, Snowflake) 

We offer: 

• Global projects in multiple clouds - we work with clients from all over the world based on modern cloud technologies    

• Certification reimbursement - we fund exams, certifications from Microsoft, AWS, Databricks, Snowflake  

• Time to learn - 60 paid hours per year    

• Flexible approach - you can choose to work from home or meet at our offices 

• Personalized benefits - medical care, subsidized sports packages, language tuition, new employee referral bonus (up to PLN 15,000) as well as annual and media bonus