Data Engineer

Overview

Data Engineer

LocationIN-HR-GurgaonID2025-2305CategoryInformation TechnologyPosition TypeFull-TimeJob TypeHybrid

Overview

170+ Years Strong. Industry Leader. Global Impact.

At Pinkerton, the mission is to protect our clients. To do this, we provide enterprise risk management services and programs specifically designed for each client. Pinkerton employees are one of our most important assets and critical to the delivery of world-class solutions. Bonded together, we share a commitment to integrity, vigilance, and excellence.

Pinkerton is an inclusive employer who seeks candidates with diverse backgrounds, experiences, and perspectives to join our family of industry subject matter experts.

The Data Engineer will be part of a high-performing and international team with the goal to expand Data & Analytics solutions for our CRM application which is live in all Securitas countries. Together with the dedicated Frontend- & BI Developer you will be responsible for managing and maintaining the Databricks based BI Platform including the processes from data model changes, implementation and development of pipelines are part of the daily focus, but ETL will get most of your attention. Continuous development to do better will need the ability to think bigger and work closely with the whole team. The Data Engineer (ETL Specialist) will collaborate with the Frontend- & BI Developer to align on possibilities to improve the BI Platform deliverables specifically for the CEP organization. Cooperation with other departments such as integrations or specific IT/IS projects and business specialists is part of the job.

Responsibilities

• Represent Pinkerton's core values of integrity, vigilance, and excellence.
• Maintain & Develop the Databricks workspace used to host the BI CEP solution
• Active in advising needed changes the data model to accommodate new BI requirement
• Develop and implement new ETL scripts and improve the current ones
• Ownership on resolving the incoming tickets for both incidents and requests
• Plan activities to stay close to the Frontend- & BI Developer to foresee coming changes to the backend
• Through working with different team members improve the teamwork using the DevOps tool to keep track of the status of the deliverable from start to end
• Ensure understanding and visible implementation of the company's core values of Integrity, Vigilance and Helpfulness.
• Knowledge about skills and experience available and required in your area today and tomorrow to drive liaison with other departments if needed.
• All other duties, as assigned.
  
  

• At least 3+ years of experience in Data Engineering
• Understanding of designing and implementing data processing architectures in Azure environments
• Experience with different SSAS - modelling techniques (preferable Azure, databricks - Microsoft related)
• Understanding of data management and - treatment to secure data governance & security (Platform management and administration)
• An analytical mindset with clear communication and problem-solving skills
• Experience in working with SCRUM set up
• Fluent in English both spoken and written
• Bonus: knowledge of additional language(s)
• Ability to communicate, present and influence credibly at all levels both internally and externally
• Business Acumen & Commercial Awareness
  

With or without reasonable accommodation, requires the physical and mental capacity to effectively perform all essential functions;

• Regular computer usage.
• Occasional reaching and lifting of small objects and operating office equipment.
• Frequent sitting, standing, and/or walking.
• Travel, as required.
  
  

Pinkerton is an equal opportunity employer to all applicants and positions without regard to race/ethnicity, color, national origin, ancestry, sex/gender, gender identity/expression, sexual orientation, marital/prenatal status, pregnancy/childbirth or related conditions, religion, creed, age, disability, genetic information, veteran status, or any protected status by local, state, federal or country-specific law.

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