We are seeking a highly skilled and versatile Data Engineering and Analytics Specialist to join our team. This role requires a deep expertise in managing and optimizing SQL/PostgreSQL databases. The ideal candidate will have strong programming skills in Python, with significant experience using Django and Angular frameworks.

Key Responsibilities

Develop and maintain robust database solutions to ensure seamless data flow and security across the organization.
Design accurate and scalable prediction algorithms
Utilize advanced analytics tools such as Power BI, PyTorch, and Apache Spark to analyze large datasets and generate actionable insights.
Work with data visualization and BI tools such as Metabase and Spotfire to create dynamic reports and dashboards that inform strategic decisions.
Leverage Google Analytics and other analytics platforms to monitor and report on business metrics, enhancing our understanding of key performance indicators.
Employ AI technologies responsibly to automate processes and boost productivity, while ensuring ethical standards are met.
Collaborate with engineering team to bring analytical prototypes to production
Generate actionable insights for business improvements

Skills

Proven experience in database management, with a strong command of SQL and PostgreSQL.
Fluency in a programming language (Python, or similar), and experience with Django and Angular.
Experience in R, Power BI, and machine learning frameworks such as PyTorch.
Experience with Big Data frameworks and visualization tools
Understanding of AI applications in a business context, with a commitment to ethical AI use.

Qualifications

Advanced degree in Computer Science, Data Science, or a related field.
Certifications in database management, Python programming, or analytics platforms.
Strong problem-solving skills and the ability to work in a dynamic, fast-paced environment.
Excellent communication and collaboration skills to work effectively across different teams.
Experience as a full-stack developer with a strong understanding of front-end technologies and frameworks.
Proficiency in building and maintaining WordPress websites, as well as developing custom websites from scratch.
Ability to integrate front-end components with server-side logic and database back-end systems to create comprehensive web solutions.
Background in oil and gas engineering, or significant experience working in the oil and gas industry, with a solid understanding of its operations, challenges, and data needs.
Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
At least 1 - 2 years' of experience in quantitative analytics or data modeling

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