Data Warehouse Engineer

Openkyber
Georgia
Title: Sr. Data Engineer With strong Google Cloud Platform Background

Experience: 12+ Years

Location: Onsite- From Philadelphia PA (Need only Locals to PA) Candidate has to be from PA

Primary Skills- PySpark, Spark, Python, Big Data, Google Cloud Platform, Apache Beam, Dataflow, Airflow, Kafka and BigQuery

Good to Have: GFO, Google Analytics Javascript is Must

  • 12+ years experience as a data warehouse engineer/architect designing and deploying data systems in a startup environment
  • Mastery of database and data warehouse methodologies and techniques from transactional databases to dimensional data modeling, to wide deformalized data marts
  • Deep understanding of SQL-based Big Data systems and experience with modern ETL tools
  • Expertise in designing data warehouses using Google Big Query
  • Experience developing data pipelines in Python
  • A firm believer in data-driven decision-making, and extensive experience developing for high/elastic scalable, 24x7x365 high availability digital marketing or e-commerce systems
  • Hands-on experience with data computing, storage, and security components and using Cloud Platforms (preferably Google Cloud Platform) provided Big Data technologies
  • Hands-on experience with real-time streaming processing as well as high volume batch processing, and skilled in Advanced SQL, Google Cloud Platform BigQuery, Apache Kafka, Data-Lakes, etc.
  • Hands-on Experience in Big Data technologies - Hadoop, Hive, and Spark, and an enterprise-scale Customer Data Platform (CDP)
  • Experience in at least one programming language (Python strongly preferred), cloud computing platforms (e.g., Google Cloud Platform), big data tools such as Spark/PySpark, columnar datastores (BigQuery preferred), DevOps processes/tooling (CI/CD, GitHub Actions), infrastructure as code frameworks (Terraform), BI Tools (e.g. DOMO, Tableau, Looker,), pipeline orchestration (eg. Airflow)
  • Fluency in data science/machine learning basics (model types, data prep, training process, etc.)
  • Experience using version control systems (Git is strongly preferred)
  • Experience with data governance and data security
  • Strong analytical, problem solving and interpersonal skills, a hunger to learn, and the ability to operate in a self-guided manner in a fast-paced rapidly changing environment
Posted 2025-10-09

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