TechNix LLC

TechNix LLC

Data Engineer

Montgomery, Alabama, USA · contract, third party

Sponsorship not specifiedDetected 50 days ago
PythonSQLBigQuerySnowflakeDatabricksAWSGCPAzureCloud PlatformsKafkaMachine LearningSparkData EngineeringData ScienceData VisualizationJiraTest AutomationCommunicationCollaborationProblem SolvingHadoop

About the role

  • Data Modeling & Warehousing: Understand ETL/ELT processes, data warehouse/lake/lakehouse architectures, and data modeling principles.
  • Analytics & Data Science Skills Data Quality Standards & Metrics: Define and enforce data quality benchmarks; measure completeness, accuracy, timeliness, and consistency.
  • Collaboration with Data Scientists: Work with ML/data science teams to ensure training data is clean and reliable.

Responsibilities

  • Design and deploy automated data testing at scale; use observability platforms for real-time monitoring.
  • Identify why data issues occur (ETL bugs, user input errors, system failures) and implement fixes.
  • Spot and resolve data issues efficiently; maintain high precision in validation.

Requirements

  • Experience with cloud platforms (AWS, Google Cloud Platform, Azure), modern data warehouses (Snowflake, BigQuery), and tools like Spark, Kafka/Kinesis, Hadoop, or S3.

Skills

  • Analyze data to identify anomalies, duplicates, outliers, and missing values; apply cleansing techniques to improve data integrity.
  • Define and enforce data quality benchmarks; measure completeness, accuracy, timeliness, and consistency.
  • Gather requirements from business, engineering, and analytics teams; advocate for data quality across the organization.
  • SQL, Python, Spark, Kafka/Kinesis, Hadoop, S3.
  • Data profiling tools (MS Purview), validation scripts, observability platforms.

This listing is sourced directly from TechNix LLC's careers page and normalized into a canonical job model.