Senior Azure Data Engineer at International Energy Services Limited (IESL)

International Energy Services Limited (IESL)Rivers, Nigeria Data and Artificial Intelligence

Full Time

International Energy Services Limited (IESL), established in 1990, is a specialist, multidisciplinary, energy services company that provides integrated, client-focused and cost-effective services in the oil and gas industry. IESL provides clients with engineering expertise throughout the project lifecycle, from feasibility studies and scope documents to design conceptualization, construction management and post-construction evaluation. Our objective is to provide integrated, client-driven consulting engineering and design solutions that help companies attain a competitive edge in the market. IESL has assembled a highly-qualified team of highly skilled engineers and other professionals with worldwide experience and capabilities to provide practical solutions to complex problems at all phases of oil and gas engineering projects. We have grown to a foremost position in the provision of services to the oil and gas sector because clients over the years have come to value our approach to quality, cost effective services, teamwork and an unswerving commitment to clients’ satisfaction. With our vast experience within the oil and gas industry, we are able to offer a range of professional services to meet the demands of the industry.

JOB REQUIREMENTS AND DETAILS

Pevelop scalable Big Data ETL and ELT planning, implementation, and coordination with multiple business areas.
Pevelop connectors for Azure Data Storage, Azure Data Bricks, Azure
Synapse, Azure IOT points, and other
Azure data tools to import data and export data.
Build consistent and elastic data pipelines and data management windows.
Build multi-platform data processing interface for ingestion like (e.g., Apache Spark) in Azure primarily.
In collaboration with the data analytics reporting team, manage and support Azure Machine Learning environment.
Work closely with cross-functional teams, participating in code reviews and collaborative problem-solving.
Leverage cloud platforms tool and products, particularly Azure, and familiarity with real-time data processing. technologies for connecting to other Microsoft Data Verse like Fabric, Power Bl, and SharePoint Integrations.