Data Engineer (Gas & Energy Trading)

0 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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On-site

Job Type

Contractual

Job Description

Data Engineer (Gas & Energy Trading)

Day Rate Contract

Immediate Start


PRIORITY SELECTION FOR CANDIDATES WITH A STRONG BACKGROUND WITHIN ENERGY TRADING.

What you’ll do:

o Design and implement data storage solutions.

o Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.

o Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes

o Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations

o Use Azure Data Factory and Databricks to assemble large, complex data sets

o Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.

o Ensure data security and compliance

o Optimize Azure SQL databases for efficient query performance

o Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures

o Participate in all scrum ceremonies


What technical skills you’ll have:


o ML Modelling: Develop and evaluate statistical/ML models.

o Software Testing: Experience with testing methodologies and tools.

o Data Analysis: Proficient in data wrangling and analysis (Python, R, SQL).

o AI/ML: Experience designing and testing AI/ML models, including prompt engineering and bias detection.

o ML Systems: Design and implement ML systems; strong Python/SQL; software engineering best practices; Azure experience; excellent communication.

What essentials you’ll bring to the table:

o Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams

o Azure DevOps

o Apache Spark, Python

o SQL proficiency

o Data Modelling

o ETL processes

o Azure Databricks knowledge

o Familiarity with data warehousing

o Big data technologies

o Data governance principles

How do you apply?

o Contact us at talent@theproexgroup.com and include the following:

o Curriculum Vitae / Resume

o Current Employment Position (Including notice period)

o Contact Details

o Remuneration Expectation

o Optional Cover Letter

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