Why This Role Stands Out
This hybrid Data Engineer role offers an exciting opportunity to build and scale cloud data pipelines for high-volume manufacturing and IoT data, fostering significant career growth and skill development. You'll thrive here if you have a strong command of SQL, Python, and modern cloud data platforms, making a real impact on innovative data solutions. Apply now to join a dynamic team and contribute to cutting-edge technology.
Quick Overview
Job Description
About the Role
We are seeking an experienced Data Engineer to design, build, and maintain scalable cloud data pipelines supporting high-volume manufacturing and IoT data.
The ideal candidate will have strong hands-on experience with SQL and Python, modern cloud data platforms, and Lakehouse/Medallion architectures. This is a hands-on engineering role focused on building reliable data pipelines, processing large datasets, and developing scalable data solutions.
Key Responsibilities
- Design, develop, and maintain scalable cloud data pipelines for high-volume data.
- Build batch and real-time data processing solutions using Spark/PySpark, Kafka, and Airflow.
- Develop data ingestion, transformation, and integration workflows using SQL and Python.
- Design and implement Lakehouse and Medallion architecture solutions.
- Work with cloud data platforms including Databricks, Snowflake, AWS, and/or Azure.
- Build and optimize ETL/ELT pipelines for performance, scalability, and reliability.
- Process and integrate large volumes of manufacturing, operational, and IoT data.
- Troubleshoot data pipeline issues and improve data quality and performance.
- Collaborate with engineering, analytics, and business teams to develop production-ready data solutions.
Qualifications
- 5+ years of professional Data Engineering experience; additional experience is welcome for the right candidate.
- Strong proficiency in SQL and Python.
- Hands-on experience building scalable data pipelines.
- Experience with Lakehouse and/or Medallion architectures.
- Experience with Databricks, Snowflake, AWS, and/or Azure.
- Strong experience with Apache Spark and/or PySpark.
- Experience with Apache Kafka and/or other streaming technologies.
- Experience with Apache Airflow or other data orchestration tools.
- Experience working with Delta Lake or similar data lake technologies.
- Strong understanding of ETL/ELT, data integration, and data transformation.
Benefits
Full-time employees receive a benefits package, including:
- Medical, dental, and vision coverage
- 100% company contribution toward employee medical coverage
- 80% company contribution toward medical coverage for immediate dependents
- 15 days of PTO
- 10 paid holidays, including 8 fixed holidays and 2 floating holidays
- 401(k) enrollment with employee contributions
- Relocation assistance
Oscar Associates Limited (US) is acting as an Employment Agency in relation to this vacancy.
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