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Senior Data Engineer

30+ days ago 2026/08/19
Other Business Support Services
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Job description

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 Qualifications
  • Bachelor'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
This job post has been translated by AI and may contain minor differences or errors.
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