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ML Data Engineer Senior
ML Data Engineer SeniorSnoonu • Denton, TX, United States
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ML Data Engineer Senior

ML Data Engineer Senior

Snoonu • Denton, TX, United States
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  • [job_card.full_time]
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Snoonu Dedicated Data Engineer

At Snoonu, we hold the belief that technology has the power to make anything possible. Our vision is to be the first Qatari Super App that propels the region and its community through innovation and technology. We envision a global expansion where what we do surpasses norms and limitations every time. Our mission is to radically transform how people live by leveraging technology to connect them with endless possibilities.

Values We Live By

  • Be Customer Obsessed
  • Act with Integrity
  • Be Curious and Creative
  • Lead by Example and Take Ownership
  • Work Smart and Deliver Results
  • It's all about people

Position Overview

We are looking for an experienced engineer for the position of dedicated Data Engineer for the ML team. Main responsibilities will include creating and extending existing feature marts and realtime marts, including investigation of feature drift and performance optimizations. We also consider it important to have enough skills to take responsibility for full ML-DE interaction, including new pipelines creation in existing DE infrastructure. Main tools used for feature engineering are Dbt, BigQuery, Databricks, and Spark structured streaming, having AWS streaming services and infrastructure as a code for the DE part. Our workflow emphasizes adaptability, collaboration, with a focus on driving changes in company-wide metrics - and youll be able to see the impact of your work on the business and customer experience.

Skills Required

  • Experience in several programming languages or Python frameworks
  • PySpark knowledge i.e. Spark structured streaming, data distribution, optimizations
  • Strong SQL skills, ability to apply subqueries, window functions, CTEs, math specific database functions
  • Experience with modern ETL processes, collection, ingestion, storage, cleaning, transformation, analysis of data
  • Software design skills - software patterns, application, data system design
  • Math statistics knowledge, i.e. stdev, quartiles, ability to apply them for drift or outlier detection
  • Infrastructure as a code is a plus
  • Experience with Databricks is a plus
  • Responsibilities

  • Feature engineering - support and creating feature marts for ML team, including tests and validation
  • Realtime feature engineering - creating realtime pipelines, extending realtime feature store with new features
  • Integrating new sources into existing data pipelines for ML needs, ensuring data quality and consistency
  • Monitor and automate ML pipelines processes, including data drift, pipelines performance, alerting
  • Our Stack

  • GCP platform
  • BigQuery
  • Dbt
  • Databricks
  • Spark structured streaming
  • AWS message brokers
  • Tableau, Redash
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