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Senior Data Engineer - IoT & Cloud Data Pipelines

Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Design and build scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake. Strong SQL and Python proficiency required. 5-20 years of experience needed.

Key Highlights
Build scalable cloud data pipelines for high-volume manufacturing and IoT data
Strong SQL and Python proficiency required
5-20 years of experience needed
Technical Skills Required
Python SQL Cloud Data Pipelines
Benefits & Perks
Relocation assistance provided

Job Description


TTC Group is hiring a Data Engineer with 5–20 years of experience for a full-time onsite role in Grand Prairie, Texas. The ideal candidate should have strong expertise in SQL and Python, along with hands-on experience designing and building scalable cloud-based data pipelines using Databricks, Snowflake, AWS, or Azure. The role focuses on IoT data using technologies such as Spark, Kafka, Airflow, and Delta Lake, with experience in Medallion/Lakehouse architectures being essential.


Role: Data Engineer

Location: Grand-Prairie, Texas 75050

Work Model: Onsite (4 days a week, work from office Mon - Thu)

Duration: Full-time Employee

Number of Interviews: 3 to 4

Mode of Interviews – Virtual

Tentative start date – ASAP


Note: Relocation assistance will be provided by the client.

Anyone interested to be relocate will be considered.

Independent candidates only, No Layers


Must-have skills:

  • Experience required: 5–20 years
  • Strong SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure.

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.

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