Data Engineer
Core
Design and maintain scalable ETL pipelines and data models to deliver clean, analytics- and AI-ready data for global brands across industries like fintech, airlines, FMCG, retail, and manufacturing.
Role type
Data Engineer
Builds
Cloud-based data ecosystems and predictive model inputs
Domain
Data engineering, cloud data platforms, and AI data lifecycle
Deliverable
production ML models
Required skills
SQL, Python, PySpark, ETL pipeline development, data modeling (star-schema, data vault, SCD), relational and NoSQL databases, cloud platforms (Azure, AWS, GCP), version control (Git)
Preferred skills
Airflow, dbt, Matillion, Fivetran, PowerBI, Tableau, Qlik, Java, Scala, OO/functional programming
Technologies
MS Fabric, Azure Data Factory, Databricks, Snowflake, MS SQL Server, PostgresSQL, MongoDB, GitHub, Azure DevOps
Responsibilities
Design and maintain scalable ETL pipelines, develop and optimize data processes, design robust data models, ensure data quality and governance, troubleshoot production pipelines, collaborate on data requirements
Seniority
Mid-level to Senior, hands-on IC
