Qureos Mentor

Onix

<div>
 
 Job Title
 
 
 
 
 Overview
 
 
 
 We are looking for an experienced
 
 Data Engineer
 
 with strong expertise in
 
 Databricks
 
 and
 
 Apache Spark
 
 to build and optimize scalable data pipelines on cloud platforms. The ideal candidate will have hands-on experience delivering ETL/ELT workflows, transforming large datasets, and supporting analytics and data platform initiatives. Experience across
 
 Azure
 
 is required, while exposure to
 
 GCP
 
 and modern orchestration tools is a plus.
 
 
 
 Mandatory Skills
 
 
 
 <ul>
 <li>
 Strong hands-on experience with Azure Databricks
 </li>
 <li>
 Expert-level proficiency in Apache Spark (PySpark/Scala)
 </li>
 <li>
 Solid understanding of ETL/ELT pipelines, batch &amp; streaming data processing
 </li>
 <li>
 Proficient in Python and SQL
 
 
 </li>
 </ul>
 
 Good-to-Have Skills
 
 
 
 <ul>
 <li>
 Experience with GCP data services: BigQuery, Dataflow, DataProc
 </li>
 <li>
 Knowledge of Airflow / Cloud Composer, DAG creation and orchestration
 </li>
 <li>
 Familiarity with GCP IAM, storage, and networking concepts
 </li>
 <li>
 Exposure to data pipelines across multi-cloud environments
 </li>
 <li>
 Experience with orchestration, workflow automation, and CI/CD for data pipelines
 </li>
 </ul>
</div>

Senior Engineer

<div>
 
 Job Description
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and maintain data pipelines and ETL/ELT workflows using GCP-native tools and services.
 </li>
 <li>
 Build and optimize data warehouses using Snowflake.
 </li>
 <li>
 Write complex and efficient SQL queries for data transformation, analysis, and reporting.
 </li>
 <li>
 Collaborate with analysts, data scientists, and business stakeholders to understand data needs and deliver reliable solutions.
 </li>
 <li>
 Implement data governance, security, and monitoring best practices across GCP projects.
 </li>
 <li>
 Tune queries and optimize performance of large-scale datasets.
 </li>
 <li>
 Automate workflows using Cloud Composer (Airflow) or similar orchestration tools.
 
 
 </li>
 </ul>
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 3+ years of experience in a data engineering or data platform role.
 </li>
 <li>
 Strong hands-on experience with Snowflake data warehousing
 </li>
 <li>
 Expert-level skills in SQL &mdash; able to write optimized, scalable, and complex queries.
 </li>
 <li>
 Experience with data modeling (star/snowflake schema), partitioning, clustering, and performance tuning in a data warehouse.
 </li>
 <li>
 Familiarity with modern ELT tools such as dbt, Fivetran, or Cloud Data Fusion.
 </li>
 <li>
 Experience in Python or similar scripting language for data engineering tasks.
 </li>
 <li>
 Understanding of data governance, privacy, and Google Cloud Platform services, especially BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer.
 </li>
 </ul>
</div>

Data Engineer (Snowflake)

Join Onix and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Onix

ABOUT_COMPANY

Senior Engineer

Data Engineer (Snowflake)