As a Senior Data Engineer, you will be responsible for:Collaborating with Technical Product Managers, Architects and Analytics team to define the scope, capabilities and roadmap of Data Applications.Delivering End-to-end ownership of business features, meeting functional & non-functional requirements.Owning the design and development of ETL data pipelines, orchestration and process maturity for data lakehouse using medallion architecture.Researching and evaluating new open-source technologies and framework to solve problems & improve existing solutions.Integrating domain data knowledge into development of data requirements.Articulating and documenting best practices and design principles to mentor other developers.Looking across multiple systems, understands the purpose of each system and defines data requirements by systems.Identifying downstream implications of data loads/migration (e.g., data quality, regulatory, etc.).

Required QualificationsBachelor's degree in computer science or “STEM” Majors (Science, Technology, Engineering and Math). A minimum 7+ years of professional experience. Desired CharacteristicsTechnical Expertise:  Must have hands-on expertise in designing cost effective Big data ETL pipelines and orchestration, preferred streaming or near real time data flow.Have Proficiency in Lakehouse architecture and distributed data processing aka Big data engineering skills.Have hands-on project experience on Databricks development, troubleshooting and optimization using Pyspark.Have Good understanding of Apache Spark and Delta lake core concepts.Have Working knowledge of SQL/NoSql data model design.Have Working knowledge of Git repo, Git Branching strategy and CICD.Have Understanding of Big Data technologies core concepts – Airflow/Oozie, Spark, BigQuery, Hive, NoSql, Object Storage, etc.Have Ability to leverage data assets to respond to complex questions that require timely answers.Able to conduct exploratory data analysis and generates visual summaries of data. Identifies data quality issues.Can Actively identifies needs for novel methods/tools and works with team to invent as necessary. Validates new tools and methodologies.
 

The Baker Hughes internal title for this role is: Digital Technology Specialist - Data and Analytics