Data Engineer

Tekaccel Inc; Town of Texas (WI); On-site; USD 110,000 - 170,000; Full time

Job summary

Tekaccel Inc is seeking a Data Engineer to design and implement scalable cloud data pipelines for high-volume manufacturing and IoT data. The role requires strong SQL and Python skills and hands-on experience with medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure.

The candidate will work with Spark, Kafka, Airflow, and Delta Lake to build robust data solutions and optimize data flows in a fast-paced environment.

Qualifications

• Minimum 5+ years of experience
• Strong in SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure.
• Experience building scalable cloud data pipelines for high-volume manufacturing and IoT data.

Responsibilities

• Build scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.
• Apply strong SQL and Python skills to implement and optimize data architectures (Medallion/Lakehouse) on Databricks, Snowflake, AWS, or Azure.

Skills

SQL

Python

Data lakes

Medallion/Lakehouse

Databricks

Snowflake

AWS/Azure

Spark

Kafka

Airflow

Tools

Databricks

Snowflake

AWS

Azure

Kafka

Airflow

Delta Lake

Job description

Job Tit- Data Engineer

Location: ~ Grand-Prairie, Texas- 4 days Onsite-Mon-Thu

Duration- Full time

Must have skills:

Minimum 5+ years of experience

Strong in 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.

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.