Data Engineer

Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, entertainment, material handling, aerospace, science, and renewable energy industries.

Since year 2003, Oceaneering's India Center has been an integral part of operations for Oceaneering's robust product and service offerings across the globe. This center caters to diverse business needs, from oil and gas field infrastructure, subsea robotics to automated material handling & logistics.

Our multidisciplinary team offers a wide spectrum of solutions, encompassing Subsea Engineering, Robotics, Automation, Control Systems, Software Development, Asset Integrity Management, Inspection, ROV operations, Field Network Management, Graphics Design & Animation, and more.

In addition to these technical functions, Oceaneering India Center plays host to several crucial business functions, including Finance, Supply Chain Management (SCM), Information Technology (IT), Human Resources (HR), and Health, Safety & Environment (HSE).

Our world class infrastructure in India includes modern offices, industry-leading tools and software, equipped labs, and beautiful campuses aligned with the future way of work. Oceaneering in India as well as globally has a great work culture that is flexible, transparent, and collaborative with great team synergy.

At Oceaneering India Center, we take pride in Solving the Unsolvable by leveraging the diverse expertise within our team. Join us in shaping the future of technology and engineering solutions on a global scale.

Position Summary and Location

Assist with building, maintaining, and optimizing data pipelines, ensuring data flows efficiently across systems. You will work closely with senior data engineers and data analysts to support data integration, ETL (Extract, Transform, Load) processes, and overall data infrastructure.

.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.

.Assist in creating technical documentation for data models, pipelines, and integration processes.

Supervisory Responsibilities

.This position has/does not have direct supervisory responsibilities.

Reporting Relationship

Sr. Manager, Data Estate - Business Intelligence

.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.

.Strong problem-solving skills and the ability to troubleshoot data-related issues.

.Detail-oriented with a focus on data accuracy and quality.

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.

In addition, we make a priority of providing learning and development opportunities to enable employees to achieve their potential and take charge of their future. As well as developing employees in a specific role, 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.