Sr Engineers, Data
Core
Design and implement scalable enterprise data platforms, ETL/ELT pipelines, and machine learning solutions to support analytics, reporting, and AI initiatives.
Role type
Senior Data Engineer (ML/Analytics focus)
Builds
Enterprise data platforms, automated data transformation jobs, predictive analytics models, and ML deployment pipelines
Domain
Telecommunications / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Scalable data architecture design, ETL/ELT pipeline development, SQL query optimization, distributed processing (Spark), Python scripting, CI/CD implementation, data governance, feature engineering
Preferred skills
Microsoft Fabric, Azure Data Lake, Snowflake, PostgreSQL, MS SQL Server, Azure Databricks, GitLab
Technologies
Microsoft Fabric, Azure Data Lake, Snowflake, PostgreSQL, MS SQL Server, Azure Databricks, Python, Spark, GitLab
Responsibilities
Design scalable data architectures across on-premises and cloud environments; execute performance tuning and optimization for high-volume data systems; develop complex data wrangling and exploratory workflows; implement data governance and quality frameworks; provide hands-on mentorship to team members; create and maintain technical documentation and architecture diagrams
Seniority
Senior, hands-on IC
