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We are looking for a skilled Data Engineer to join our team on a long-term contract basis in Houston, Texas. In this role, you will design, build, and manage data pipelines and systems to support business operations and decision-making processes. This position offers an exciting opportunity to work with cutting-edge technologies within the energy and natural resources sector.
Job Responsibility:
Develop and maintain scalable data pipelines to efficiently process large volumes of data
Collaborate with cross-functional teams to gather requirements and design data solutions that meet business needs
Implement and optimize ETL processes to ensure the accuracy and reliability of data flows
Utilize technologies such as Apache Spark, Hadoop, and Kafka to manage and process data streams
Monitor and troubleshoot data systems to ensure optimal performance and reliability
Perform data integration from multiple sources to create unified datasets for analysis
Ensure data security and compliance with organizational and industry standards
Continuously evaluate and adopt new tools and technologies to enhance data engineering practices
Provide technical guidance and mentorship to entry-level team members as needed
Requirements:
Proficiency in programming languages such as Python for data manipulation and automation
Hands-on experience with Apache Spark, Hadoop, and Kafka for data processing and streaming
Strong background in ETL processes, including designing and implementing data workflows
Familiarity with data architecture and database systems, including both SQL and NoSQL
Ability to analyze complex datasets and develop solutions to improve data quality and accessibility
Excellent problem-solving skills and attention to detail in a fast-paced environment
Strong communication and teamwork skills to collaborate effectively with various stakeholders
Nice to have:
Experience working in the energy or natural resources industry is a plus
What we offer:
medical, vision, dental, and life and disability insurance