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# Data Engineer

- **Company:** Indotronix Avani Group
- **Location:** The Woodlands, TX, United States
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Python (Programming Language), Power BI, SQL Databases, Databricks
- **Published:** October 9, 2026
- **Apply:** https://candidateportal.ceipal.com/job-details/C-zYTdvtGkat6WbnAeuxpOB6_UrwjFKIPaWzYwhRY6c

## About the Role

Proficiency in Databricks for data integration, transformation, querying, and analysis

 - Proven experience in extracting and analyzing data from Databricks, Snowflake, data historians, and similar sources
 - Advanced skills in Power BI dashboard creation and data modeling
 - Strong SQL and Python coding abilities
 - Experience with data extraction from DCS, SCADA, and process historians

Preferred Skills

 - Familiarity with additional analytics platforms or data engineering tools
 - Demonstrated experience in process industry data environments
 - Strong documentation and reporting skills, Top 3 skill sets/technologies required for qualification:1): Data analysis with extraction of data from Databricks Snowflakes data historian or any other sources2): Dashboard creation and modelling (Power BI)3): SQL Python coding

## Description

Join a dynamic team in Spring, Texas as a Data Engineer, where you'll drive impactful analytics and visualization to enhance alarm system performance and reliability. Utilize advanced tools such as Databricks and Power BI to manage high-volume, time-series data and deliver actionable insights. This full-time, onsite position offers hands-on experience with cutting-edge technologies in a collaborative, growth-focused environment., Integrate, clean, and transform data from alarm systems, process historians, maintenance systems, and instrument databases using Databricks

 - Develop and maintain Power BI dashboards for alarm performance, alarm floods, bad actors, instrument reliability, trend analysis, and corrective-action tracking
 - Validate data quality, document data sources, business rules, and analytical methods
 - Analyze large-scale, complex time-series datasets to identify trends and root causes
 - Translate complex data findings into clear recommendations and prioritized corrective actions