Data Engineer
1 day ago
Position Summary
At Oceaneering, we are seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will play a critical role in building, maintaining, and optimizing data pipelines to ensure efficient data flow across systems.
Duties & Responsibilities
• Assist in designing, building, and maintaining scalable data pipelines to move data from various sources to the data warehouse or data lake.
• Help integrate data from various internal and external sources, including databases, APIs, and flat files, into centralized systems.
• Assist in data migration projects by writing scripts to move data between systems while ensuring data quality and integrity.
• Collaborate with the data quality team to ensure that data is accurate, consistent, and reliable.
• Implement basic data validation rules and participate in data quality checks to identify and fix data anomalies or errors.
• Assist in the management of databases, including tasks such as creating tables, writing SQL queries, and optimizing database performance.
• Support efforts to ensure efficient data storage, indexing, and retrieval for analytics and reporting purposes.
• Work closely with data analysts, business intelligence teams, and other stakeholders to understand data requirements and support their data needs.
• Provide data extracts, reports, and documentation as requested by business users and analysts.
Supervisory Responsibilities
• This position has/does not have direct supervisory responsibilities.
Reporting Relationship
Sr. Manager, Data Estate – Business Intelligence
Qualifications
• Bachelor's degree in computer science, Information Systems, Engineering, Mathematics, or a related field.
• Relevant coursework or projects involving data management, databases, or data engineering is highly desirable.
Knowledge, Skills, Abilities, and Other Characteristics
• Basic understanding of data structures, algorithms, and database management systems (SQL and NoSQL).
• Familiarity with SQL for querying databases and manipulating data.
• Some experience with scripting languages like Python, Java, or Scala for data processing tasks.
• Knowledge of data warehousing concepts and ETL processes is a plus.
• Exposure to cloud platforms (AWS, Azure, Google Cloud) or data tools (e.g., Apache Spark, Hadoop) is an advantage but not required.
Preferred Qualifications:
• Internship or hands-on project experience in data engineering or a related field is a plus.
• Experience working with data integration tools, cloud platforms, or big data technologies will be an added advantage.
• Familiarity with version control tools such as Git is beneficial.
Closing Statement
At Oceaneering, we prioritize providing learning and development opportunities to enable employees to achieve their potential and take charge of their future. We are committed to lifelong learning and ongoing education, including developing people skills and identifying future supervisors and managers. Every month, hundreds of employees are provided training, including HSE awareness, apprenticeships, entry and advanced level technical courses, management development seminars, and leadership and supervisory training.
We have a strong ethos of internal promotion. We can offer long-term employment and career advancement across countries and continents.
Working at Oceaneering means that if you have the ability, drive, and ambition to take charge of your future-you will be supported to do so and the possibilities are endless.
Equal Opportunity/Inclusion
Oceaneering's policy is to provide equal employment opportunity to all applicants.
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