Demo

Data Engineer

Stellar IT Solutions LLC
San Francisco, CA Full Time
POSTED ON 3/14/2025
AVAILABLE BEFORE 4/4/2025

Job Title : Data Engineer

Interview : Virtual

Job Duration : Long Term

Job Location : 100% Remote

Job Description :

Were seeking a dynamic professional who can continuously enhance our data infrastructure and stay at the forefront of emerging technologies. The ideal candidate will build and nurture crossfunctional relationships with Data Scientists Analysts Product Managers and Software Engineers to understand and address data needs effectively.

Key Responsibilities :

  • Continuously innovate and enhance the organizations data infrastructure.
  • Collaborate with crossfunctional teams to understand and meet data requirements.
  • Evaluate select and implement BI tools and technologies tailored to organizational needs.
  • Conduct proof of concept (POC) trials and oversee the configuration and implementation of BI software including data visualization reporting and analytics solutions.
  • Stay informed about industry trends technologies and best practices to drive process improvement automation and innovation in data analytics.
  • Establish and maintain data governance policies to ensure data quality consistency security and compliance with regulatory standards.

Were Excited About You If You Have :

  • 8 10 years of experience in data engineering including designing scalable ETL pipelines.
  • Advanced expertise in Hadoop Scala Spark Kafka and SQL.
  • 6 years of experience with cloud platforms such as Azure AWS or Google Cloud.
  • Proven ability to architect and manage large complex data pipelines.
  • Experience in data analysis exploration and working with cloud technologies like Azure Databricks ADLS Spark Cosmos DB and other big data tools.
  • Familiarity with agile delivery environments and multideveloper workflows using version control.
  • Strong understanding of data structures design patterns and data integration tools.
  • Ability to work effectively in crossfunctional agile teams and drive projects through the entire development lifecycle.
  • Proficiency in SQL for data processing validation and QA tasks.
  • Knowledge of APIs for data collection and ingestion.
  • Expertise in both SQL and NoSQL databases.
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