Senior Data Architect

Job Description

As a Senior Data Architect at Baker Hughes, you will be part of the Digital Technology-Data & Analytics team, working on innovative Data Analytics projects. Your role will involve designing and implementing scalable data pipelines, developing data warehouse and ETL processes, and optimizing data systems for efficient processing and analysis. You will collaborate with product managers and analysts to meet data requirements, resolve data quality issues, and ensure data governance and security measures are in place.**Key Responsibilities:**- Designing and implementing scalable and robust data pipelines- Developing and maintaining data warehouse and ETL processes- Optimizing data systems for efficient processing and analysis- Collaborating with product managers and analysts for data modeling and analysis- Identifying and resolving data quality issues- Monitoring and troubleshooting data infrastructure- Implementing state-of-the-art methodologies for effective data handling**Qualifications Required:**- Bachelors in Computer Science or STEM majors with a minimum of 4 years of experience- Proven experience as a Data Engineer working with large-scale data systems- Proficiency in SQL and database management systems- Experience with ETL tools like Talend, Informatica- Familiarity with data visualization tools like Tableau, Power BI- Strong problem-solving and analytical skills- Experience in data modeling, warehousing, and ETL principles- Knowledge of cloud platforms like AWS, Azure, or GCP- Advanced knowledge of distributed computing and parallel processing- Familiarity with real-time data processing technologies- Certification in relevant data engineering disciplinesFuel your passion by joining a team that values innovation and progress. Baker Hughes is an energy technology company providing solutions worldwide to make energy safer, cleaner, and more efficient. Join a diverse and inclusive team that challenges and inspires you to take energy forward. As a Senior Data Architect at Baker Hughes, you will be part of the Digital Technology-Data & Analytics team, working on innovative Data Analytics projects. Your role will involve designing and implementing scalable data pipelines, developing data warehouse and ETL processes, and optimizing data systems for efficient processing and analysis. You will collaborate with product managers and analysts to meet data requirements, resolve data quality issues, and ensure data governance and security measures are in place.**Key Responsibilities:**- Designing and implementing scalable and robust data pipelines- Developing and maintaining data warehouse and ETL processes- Optimizing data systems for efficient processing and analysis- Collaborating with product managers and analysts for data modeling and analysis- Identifying and resolving data quality issues- Monitoring and troubleshooting data infrastructure- Implementing state-of-the-art methodologies for effective data handling**Qualifications Required:**- Bachelors in Computer Science or STEM majors with a minimum of 4 years of experience- Proven experience as a Data Engineer working with large-scale data systems- Proficiency in SQL and database management systems- Experience with ETL tools like Talend, Informatica- Familiarity with data visualization tools like Tableau, Power BI- Strong problem-solving and analytical skills- Experience in data modeling, warehousing, and ETL principles- Knowledge of cloud platforms like AWS, Azure, or GCP- Advanced knowledge of distributed computing and parallel processing- Familiarity with real-time data processing technologies- Certification in relevant data engineering disciplinesFuel your passion by joining a team that values innovation and progress. Baker Hughes is an energy technology company providing solutions worldwide to make energy safer, cleaner, and more efficient. Join a diverse and inclusive team that challenges and inspires you to take energy forward.

Keyskills :
SQLETLTalendInformaticaData VisualizationTableauPower BIData ModelingData WarehousingAWSAzureGCPDistributed ComputingParallel ProcessingApache KafkaContainerizationKubernetesDatabase Management SystemsRedshiftBigQuery