Big Data Engineer

About the job

Join our Team-Your career journey starts here - not just a job, but a future.

Our Potential Opportunity

INTECH AutomationIntelligenceis seeking aBig Data Engineerto join our dynamic team. This role is pivotal in supporting Industrial Digitalization Solutions across industries such as Oil & Gas, Petrochemicals, Utilities, and Manufacturing.Design and operate end-to-end big data and analytics solutions building scalable ETL/ELT pipelines, integrating industrial and enterprise data, optimizing Hadoop/Cloudera platforms, and delivering real-time, predictive dashboards that drive operational efficiency, safety, compliance, and data-driven decision-making.INTECH's commitment to providing cutting-edgeDigitalSolutions ensures you will contribute to transformative projects that enhance operational efficiency and productivity.

Our Digital Solutions

are a testament to our dedication to driving innovation and optimizing industrial processes, reflecting our focus on excellence, reliability, and overcoming industry challenges.

What You’ll Lead and Deliver

• Design, develop, and maintain robust ETL/ELT pipelines for both pre-production and production environments.
• Ingest data from diverse sources, including industrial sensors (pumps, boilers, storage tanks), relational databases (SQL, Oracle), and enterprise applications.
• Implement data integration and transformation logic using Scala, PySpark, Sqoop, and Apache NiFi within the Cloudera/Hadoop ecosystem.
• Manage and schedule data workflows using Oozie or similar orchestration tools.
• Optimize data storage and query performance using Hive, Impala, and HDFS for efficient analytics.
• Develop interactive and real-time dashboards in Power BI and Tableau to monitor critical business and operational KPIs.
• Translate complex technical datasets into user-friendly visualizations for stakeholders, enabling data-driven decision-making.
• Design dashboards for specific use cases such as:

• i) Real-time monitoring of sensor data (pumps, boilers) to improve plant uptime and save costs.
• ii) Track safety permits (ESWP), monitor workplace hazards (SHER, risk scores), and perform root-cause analysis on incidents.

• Support the development of predictive models, such as Hazard Prediction dashboards, by preparing and engineering the necessary data features.
• Perform data analysis and ad-hoc reporting to answer complex business questions related to plant manufacturing, energy, and safety.
• Ensure data accuracy, consistency, and reliability across all reporting and analytics platforms.
• Assist in the maintenance, configuration, and performance tuning of the Big Data platform (Cloudera) and BI servers (Tableau/Power BI).
• Collaborate on the integration of industrial systems (e.g., OSI PI System) with the big data lake for advanced analytics.

Requirements

To Be Successful in This Role, You Must Have:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Telecommunication, or a related field.
• 5+ years of experience in data engineering, big data development, or business intelligence.
• Strong hands-on experience with the Apache Hadoop ecosystem (Cloudera distribution preferred) including HDFS, Hive, Impala, and Oozie.
• Expert-level proficiency in PySpark and Scala for building data pipelines. Experience with real-time data ingestion tools like Apache NiFi and data migration tools like Sqoop.
• Strong SQL skills and experience with relational databases (e.g., Microsoft SQL, Oracle, IBM DB2, Amazon RDS).
• Proficiency in Power BI and Tableau, including dashboard design, server administration, and performance optimization.
• Working knowledge of Python for data analysis and scripting.
• Cloud (Optional but beneficial): Experience with AWS data services (Amazon RDS, Glue, Redshift) is a plus.
• Industrial Systems (Optional but beneficial): Familiarity with OSI PI System for sensor data integration.

Local Saudi Nationals would be preferred for this role.

We Offer Competitive Benefits:

• Global Exposure:Opportunities to work on international projects and collaborate with global teams.
• Competitive Compensation:A salary package that recognizes your expertise and contributions.
• Annual Bonus:Performance-driven rewards based on your gross pay to celebrate yourachievements and contributions.
• Health & Wellness:Comprehensive medical insurance for you and your dependents.
• Learning Opportunities:Access to training programs, workshops, and certifications to enhance your skills.
• Work-Life Balance:Paid time off, i