Overview
On Site
Depends on Experience
Full Time
Skills
Amazon S3
Apache Airflow
Code Refactoring
Continuous Delivery
Continuous Integration
ELT
Extract
Transform
Load
NumPy
Pandas
Python
SQL
scikit-learn
Version Control
Job Details
We're looking for a Python Developer/Data Engineer to join a 12-month contract. 100% onsite in downtown Houston.
The Python Developer/Data Engineer will work closely with business domain experts to create an Enterprise Data Lakehouse to support data analytic use cases for the midstream oil and gas operations, engineering, and measurements business units.
Must Haves:
- Software development/software engineering experience
- 5+ years Python
- Data Build Tool (DBT)
- Knowledge of Data Lakehouse technologies, Apache Iceberg, or Delta Lake
- Working with S3 object storage
Nice to Haves:
- Python UI development, Dash
- Dremio
- Kubernetes/AWS EKS
- AWS Cloud
Responsibilities include:
- Design and implement reliable data pipelines to integrate disparate data sources into a single Data Lakehouse
- Design and implement data quality pipelines to ensure data correctness and building trusted datasets
- Design and implement a Data Lakehouse solution which accurately reflects business operations
- Assist with data platform performance tuning and physical data model support including partitioning and compaction
- Provide guidance in data visualizations and reporting efforts to ensure solutions are aligned to business objectives.
Qualifications include:
- 5+ years Data Engineer designing and maintaining data pipeline architectures
- 5+ years of programming experience in Python and ANSI SQL
- 2+ years of development experience with DBT
- Various data modelling methods such as Star Schema, Snowflake, Data Vault design
- Implementing Data Lakehouse using a Medallion Architecture with Apache Iceberg on S3 Object Storage
- Various data integration patters including ELT, Pub/Sub, and Change Data Capture
- Common Python Data Engineering packages (Pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, Boto3)
- Excellent communication and experience presenting complex concepts to technical and non-technical stakholders
- Software development practices such as Design Principles and Patters, Testing, Refactoring, CI/CD, and version control.
- Dremio, Apache Airflow, and Airbyte preferred
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.