As a Data Software Lead, you will design, develop, and maintain data systems and solutions. You will collaborate with cross-functional teams to ensure data integration, quality, and security.

We are looking for a hands-on and lead data software engineer focused on Azure Data stack (Databricks) to join our growing Data Practice.

Responsibilities

Lead modern data platforms implementation starting from requirements identification and up to production releases
Design and develop highly scalable, maintainable and data centric solutions using Azure cloud and Databricks
Design, create, optimize and maintain EL/ETL/ELT data pipelines and orchestration processes
Design, create, optimize and maintain data models
Ensure data quality processes, monitoring and data cleansing
Contribute to data governance activities
Collaborate with cross-functional teams to integrate data into various systems and applications
Drive and facilitate direct communication with project sponsors and business stakeholders

Requirements

Azure Data stack experience: Databricks, Data Lakehouse, Delta Lake, ADF, ADLS, Apache Spark, SQL/NoSQL, Key vault
Strong experience with Python, PySpark
Strong understanding of data processing design patterns: EL, ETL, ELT, incremental/delta loads and data streaming (optional)
Strong knowledge of RDBMS, data marts and Lakehouse design concepts
Ability to support infrastructure, security, network, and data exchange and distribution topics
Ability to work collaboratively with cross-functional teams
Excellent problem-solving skills and attention to detail
Upper-Intermediate level of English, both spoken and written (B2+)