Overview
On Site
BASED ON EXPERIENCE
Contract - W2
Contract - Independent
Skills
Big Data
Advanced Analytics
Analytical Skill
Use Cases
Software Engineering
UI
Dash Python
Kubernetes
Amazon Web Services
Cloud Computing
Data Quality
Business Operations
Performance Tuning
Physical Data Model
Reporting
Extract
Transform
Load
SQL
Data Modeling
Star Schema
Snow Flake Schema
Apache HTTP Server
Amazon S3
Storage
Data Integration
ELT
Change Data Capture
Python
Data Engineering
Pandas
NumPy
scikit-learn
Communication
Presentations
Software Development
Testing
Code Refactoring
Continuous Integration
Continuous Delivery
Version Control
Apache Airflow
Job Details
Job Title: Sr. Python Data Engineer (Locals Only)
Duration: 6+ Months
Location: Houston, TX (Onsite)
Description:
We are currently seeking an experienced Python Data Engineer to join the Big Data and Advanced Analytics department. The Python 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:
Nice to Haves:
Responsibilities include:
The successful candidate will meet the following qualifications:
Duration: 6+ Months
Location: Houston, TX (Onsite)
Description:
We are currently seeking an experienced Python Data Engineer to join the Big Data and Advanced Analytics department. The Python 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:
- 12+ years of Experience in software development/ software engineering experience
- 5+ years with Python
- Experience with 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 experience, Dash
- Dremio experience
- Kubernetes/AWS EKS
- AWS Cloud experience
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
The successful candidate will meet the following qualifications:
- 12+ years of experience as a 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, Data Build Tool
- Experience in various data modelling methods such as Star Schema, Snowflake, and Data Vault design
- Experience in implementing a Data Lakehouse using a Medallion Architecture with Apache Iceberg on S3 Object Storage
- Experience in various data integration patterns including ELT, Pub/Sub, and Change Data Capture
- Experience with common Python Data Engineering packages including Pandas, Numpy, Pyarrow Pytest, Scikit-Learn, and Boto3
- Excellent communication skills with experience presenting complex concepts to technical and non-technical stakeholders
- Experience in software development practices such as Design Principles and Patterns, Testing, Refactoring, CI/CD, and version control
- Experience with Dremio, Apache Airflow, and Airbyte is 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.