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Data Engineer
Baker Hughes
Provides innovative solutions for energy, industrial, and infrastructure sectors globally.
Develops SQL/ETL pipelines, data models, and integrations for finance analytics.
Asks follow-up questions when presented with new data/projects. Sees the broader implications of an idea.
Distills information down to key points.
Helping envision product roadmap
Performing integration of multiple data source-formats into master data load.
Performing a variety of data loads & data transformations - develop own SQL code satisfying the data requirements given by stakeholders
What you bring
etl
sql
python
data modeling
big data
bachelor
Must have good communication skills - both oral and written
Be able to translates analytics problems into data requirements.
Have an experience on new D&A (Data & Analytics) application development and existing application optimization is required (data source identification, mapping, ingestion, modelling and transformation for analytical consumption purposes)
Be able to understand the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team.
Demonstrating proficiency in implementation of logical/physical data models that support D&A best practices.
Expresses the information clearly and concisely. Projects knowledge of relevant data.
Being proficient in the use of at least one ETL tool.
Be able to understand logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management, data lineage & data profiling.
Have exposure and ability to script (SQL, Python, ...) experience
Demonstrated awareness of how to function in a team setting
Bachelor's Degree. A minimum 2-3 years of professional experience.
Presents new ideas and concepts. Makes connections among previously unrelated ideas.
Have a hands-on experience with SQL Database such as Oracle MySQL, PostgreSQL, Databricks
Working knowledge of methods for parsing, formatting, & transforming data into units consistent with analytical needs.
Demonstrated awareness of how to leverage curiosity and creativity to drive business impact
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