Overview
On Site
Contract - W2
Skills
5+ years of experience as a Data Engineer designing an
Job Details
Position :: Data Engineer
Location :: Onsite (Houston, TX-77086)
Duration :: 6+ Months
Interview :: Phone & Video
Must Have LinkedIn
Job Description:
The Data Engineer will work closely with business domain experts to create an Enterprise Data Lakehouse to support data analytics use cases for the midstream oil and gas operations, engineering, and measurements business units.
Must-Haves (should be listed on the resume):
- 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 Have:
- 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 build trusted datasets
- Design and implement a Data Lakehouse solution that accurately reflects business operations
- Assist with data platform performance tuning and physical data model support, including partitioning and compaction
- Guide data visualizations and reporting efforts to ensure solutions are aligned with business objectives
The successful candidate will meet the following qualifications:
- 5+ 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 Data Build Tool (DBT)
- Experience with Dremio, Apache Airflow, and Airbyte is preferred
- 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
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.