The IT Data Engineer is responsible for developing and managing the data’s ETL processing, with a focus on quality and risk, to assist in the achievement of analytics objectives. - Build robust, fault-tolerant data pipelines that clean, transform and aggregate unorganized and messy data into databases or data sources. - Compile and install database systems, write complex queries and scale to multiple machines. - Lay the groundwork for a Data Analyst or Data Scientist to easily retrieve the needed data for their evaluations and experiments. - Provide input to the business strategy to help guide the overall direction of data management and data quality within the organization. Essential qualifications - Bachelor’s or Master’s degree in Computer Science or related field - Excellent communication, verbal and written skills Key competencies - Either SQL or Java or C++ is a must - Awareness of software development lifecycle (testing, deployment, releases) demonstrated through assignment or projects is a must - Awareness of Agile development methodologies– Azure VSTS, SCRUM is a plus - Good to have skills on Hadoop technologies like Sqoop, Hive, HBASE, Spark, python, Scala - Experience in working with Real Time Integrations, IoT projects is a bonus, for instance, Kafka, NiFi, cloud (e.g. AWS, Google or Azure). Other skills and abilities - Ability to work in global distributed setting without supervision - Readiness to work on big data, cloud. - Self-driven, Proactive, Systems Thinking SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, or other characteristics protected by law.