Industrial Big Data Engineer: Real-Time Analytics & ETL

SENSYS Inc.; Saudi Arabia; On-site; SAR 240,000 - 360,000; Full time

Job summary

INTECH Automation Intelligence is seeking a Big Data Engineer to design and operate end-to-end big data and analytics solutions across industries such as Oil & Gas, Petrochemicals, Utilities, and Manufacturing.

You will ingest diverse data, optimize Hadoop/Cloudera platforms, and deliver real-time, predictive dashboards to drive efficiency, safety, and compliance. Join a team focused on industrial digitalization and data-driven decision making.

Qualifications

• Experience designing and operating end-to-end big data and analytics solutions.
• Proficient in ETL/ELT pipelines using Scala, PySpark, Sqoop, NiFi.
• Experience with Hadoop ecosystem tools (HDFS, Hive/Impala) and workflow schedulers (Oozie).
• Ability to develop real-time and predictive dashboards using Power BI or Tableau.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines for pre-production and production environments.
• Ingest data from industrial sources (sensors, relational DBs, enterprise apps).
• Build real-time dashboards to monitor KPIs and support data-driven decisions.
• Collaborate on integrating industrial systems with the big data lake for advanced analytics.

Skills

Scala

PySpark

Sqoop

Apache NiFi

Oozie

Hive

Impala

HDFS

Power BI

Tableau

Cloudera/Hadoop

Tools

Cloudera

Hadoop

Job description

INTECH Automation Intelligence is seeking a Big Data Engineer to design and operate end-to-end big data and analytics solutions across industries such as Oil & Gas, Petrochemicals, Utilities, and Manufacturing.

You will ingest diverse data, optimize Hadoop/Cloudera platforms, and deliver real-time, predictive dashboards to drive efficiency, safety, and compliance. Join a team focused on industrial digitalization and data-driven decision making.