Senior Data Engineer (Hybrid) – Cloud Data Pipelines & Manufacturing IoT
Design and build scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, and Delta Lake. Leverage SQL and Python to architect medallion/lakehouse architectures on Databricks, Snowflake, or cloud platforms. Drive operational efficiency with real-time OT/IT integration and industrial analytics.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
No third-party C2C candidates. This is a direct hire full-time role.
Client is unable to sponsor visa at this time.
Relocation assistance will be provided by company.
Looking to advance your Data Science career with relocation support? Explore Data Science Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.
This is a hybrid role with 4 days onsite/ 1 day WFH
Must have skills:
- Minimum 5+ years of experience (No limit for a right candidate)
- Strong in SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure.
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
Job Overview:
- Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.
- Strong SQL and Python proficiency with hands-on experience in medallion/ Lakehouse architectures on Databricks, Snowflake, AWS, or Azure.
Interested in relocating to United State? Check out our comprehensive Relocation Jobs in United State page with detailed relocation packages and benefits.
Good to Have:
- Manufacturing 8–10 years in manufacturing (optional) with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.
- Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction.
- Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency.
Similar Jobs
Explore other opportunities that match your interests