Data Engineer

Kanak Elite Services Inc
Houston, TX, United States
1 day ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours

Tech stack

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)
+19 more
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

Requirements

  • 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.

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