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# Data Engineer

- **Company:** Kanak Elite Services Inc
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Airflow, Amazon S3, Data Analysis, Apache HTTP Server, Unit Testing, Cluster Analysis, Databases, Continuous Integration, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Database Development, Software Debugging, Python (Programming Language), Query Optimization, Cloud Services, Software Engineering, Data Streaming, Parquet, Snowflake, Data Build Tool (dbt), Git, Core Data, Solid Principles, Apache Flink, Apache Kafka, Api Design, Physical Design, Code Restructuring, Software Version Control
- **Published:** November 3, 2026
- **Apply:** https://www.thejobnetwork.com/job/45559e70-49e9-4b1f-a743-c654d6883089/data-engineer

## About the Role

* 7-10+ years of experience in Data Engineering or closely related Software Engineering roles with a data focus.
 * Expert-level SQL development and data analysis skills, including advanced query optimization and debugging.
 * Strong Python engineering skills and familiarity with software design principles and patterns (e.g., SOLID), unit testing, refactoring, and version control.
 * Hands-on experience building ELT/ETL pipelines and orchestration with tools such as Astronomer/Airflow; proficiency with Git and CI/CD.
 * Deep understanding of core data engineering patterns: ingestion, transformation, modeling (dimensional/SCDs), and delivery.
 * Proven experience with database physical design including partitioning and effective partition key selection; exposure to clustering and micro-partitioning on MPP/cloud data platforms.
 * Experience implementing data quality frameworks, observability/monitoring, and robust operational SLAs.
 * Experience with Lakehouse table formats (Apache Iceberg/Delta/Hudi) and columnar storage (Parquet) on object storage (e.g., AWS S3).
 * Strong communication skills with the ability to present complex technical concepts to both technical and business stakeholders., * Experience optimizing Snowflake workloads (compute sizing, tasks/streams, clustering, micro-partitioning).
 * Experience with dbt, Data Build Tool, or similar for transformation and testing.
 * Experience with event streaming (Kafka/Kinesis/Flink) and API-based data integration.
 * Experience with data catalog, governance, and lineage platforms.
 * Domain experience in Oil & Gas midstream operations or industrial IoT/time-series data.