Data Programer

Job Title: Senior/Junior Data Programmer

Industry: Oil & Gas

Job type: Contract

Job Summary:

We are seeking a motivated and detail-oriented Junior Data Programmer to join our data team.The ideal candidate will have a foundational understanding of data programming, strong analytical skills, and a desire to grow their expertise in data management and analysis. This role involves working with large datasets, developing data pipelines, and supporting data-driven decision-making processes.

Key Responsibilities:

• Data Management: Assist in the collection, cleaning, and organization of large datasets from various sources.
• Data Integration: Develop and maintain data pipelines to ensure seamless data flow across systems.
• Data Analysis: Perform basic data analysis and generate reports to support business decisions.
• Database Maintenance: Support the maintenance and optimization of databases, ensuring data integrity and security.
• Collaboration: Work closely with senior data programmers, data scientists, and other team members to understand data needs and deliver solutions.
• Documentation: Maintain comprehensive documentation of data processes, methodologies, and code.
• Learning and Development: Continuously improve technical skills through training and hands-on experience.

Required Qualifications:

• Education: Bachelors degree in Computer Science, Data Science, InformationTechnology, or a related field.
• Programming Skills: Proficiency in SQL and at least one programming language such as Python, R, or Java.
• Data Tools: Familiarity with data visualization tools (e.g., Tableau, Power BI) and ETL tools (e.g., Talend, Informatica).
• Analytical Skills: Strong analytical and problem-solving abilities.
• Communication: Good written and verbal communication skills.
• Attention to Detail: High level of accuracy and attention to detail in data work.

Preferred Qualifications:

• Experience: Internship or project experience in data programming or related roles.
• Software Knowledge: Exposure to big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
• Certifications: Relevant certifications in data management or programming.

Personal Attributes:

• Curiosity: A strong desire to learn and stay updated with new technologies and trends in data science.
• Team Player: Ability to work collaboratively in a team environment.
• Time Management: Ability to manage multiple tasks and meet deadlines.