Business Intelligence Engineer

Location: Panjim

About Us
Since 1920, Helmerich & Payne, Inc. (H&P) has been the industry's most trusted partner in drilling productivity and reliability. We continue that legacy with a strategy focused on long-term profitable growth and high-quality, innovative products and services. We are committed to improving lives through efficient and responsible energy. H&P expanded its drilling optimization portfolio through strategic acquisitions, including Motive Drilling Technologies (MOTIVE), Magnetic Variation Services (MagVAR), Angus Jamieson Consulting (AJC), and Drill Scan.

H&P India is part of H&P's portfolio following the acquisition of MagVAR in 2017. We drive the development of advanced technologies and directional drilling automation solutions to help customers achieve greater reliability and well performance. We are focused on leading-edge technology pushing the limits of the oil & gas industry. H&P Inc. acquired KCA Deutag and its service lines in 2025 & we are creating an organization with an enhanced global footprint, exceptional service capability, and superior technology offering.

Office

Location:

Goa & Noida

Job Overview:
We are hiring a BI Engineer for our Advanced Analytics and Reporting team. This role is best suited for someone with a strong curiosity to understand business operations and a passion for creating data pipelines and turning data into meaningful insights. You will act as a solution partner to stakeholders, translating business requirements into impactful analytics solutions using Databricks, Microsoft Fabric and Power BI.

A key focus of this role is continuous learning, both in understanding the business and adopting modern technologies such as AI-driven Business Intelligence, including conversational and agentic experiences within reports. The ideal candidate should have ability to create modular, robust and scalable data pipelines with an eye for intuitive, visually compelling dashboards, along with the ability to explore data, uncover insights, and communicate clear data stories.

This is a hybrid role (manager's discretion) within the Business Intelligence and Performance Management (BIPM) team.

Responsibilities for BI Engineer:
Partner with stakeholders to understand business operations, KPIs, and BI requirements.
Translate requirements into well-defined Jira epics, stories, and acceptance criteria.
Translate business logics and requested transformation into accurate and efficient Scripts (PySpark, Spark

SQL, Power Query).
Build and optimize Fabric and Databricks Pipelines and Notebooks for performance and reliability.
Monitor pipeline(s) for efficiency, cost effectiveness, stability and for continuous data flows.
Design and develop scalable pipelines and data models with Databricks (ADF, ADLS,
Databricks Notebooks) and Microsoft Fabric (Lakehouse, Direct Lake, Dataflows).
Work with IT Team and other concerned departments to fix any source level data issues including break in data flow/refresh.
Develop Power BI reports and dashboards with a focus on usability, performance, and visual storytelling.
Leverage AI-driven BI capabilities (insights, conversational/agentic experiences) to enhance user interaction.
Perform data analysis to uncover trends, insights, and actionable recommendations.
Ensure data quality, consistency, governance, and security across all reporting solutions.
Work closely with senior developers and cross-functional teams to deliver high-quality solutions.
Present insights and solutions to stakeholders, enabling data-driven decision-making.
Maintain clear technical and functional documentation for all deliverables.
Continuously learn and adopt new technologies in Fabric and AI to improve BI capabilities.

Requirements:
Solid experience with Databricks Notebooks (PySpark/Spark

SQL) for data transformation and advanced analytics.
Experience in creating data pipelines using ADF, ADLS, Databircks Notebooks and MS Fabric.
Strong expertise with Notebook optimization (PySpark /Spark

SQL).
Advanced expertise in Power BI (Desktop & Service), including DAX, Power Query, and semantic data modeling.
Strong experience in building scalable, high-performance data models and optimizing report…