We are currently seeking an experienced Data Engineer to join the Big Data and Advanced Analytics department. The 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: - Experience 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: - 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 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