Industrial Big Data Engineer: Real-Time Analytics & ETL

SENSYS Inc.

Saudi Arabia

On-site

SAR 240,000 - 360,000

Full time

14 days+

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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.

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