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HireClout

Our client is a leading player in the content-creation sphere, enabling creators all over the world to reach new heights and expand their brand.  

 

What You Will Be Doing

  • Architect and manage scalable data pipelines, encompassing both single and multi-node ETL solutions
  • Establish data quality assurance measures for new and existing pipelines
  • Generate derived datasets with enhanced attributes
  • Enhance analytics-ready datasets to empower internal and creator-facing tools
  • Address issues promptly, collaborating directly with internal data consumers
  • Automate pipeline executions using scheduling and orchestration tools
  • Handle extensive datasets and utilize various external APIs to enrich data
  • Configure database tables for analytics users to access the Data Engineering team’s collected data
  • Employ big data technologies to enhance data availability and quality in the AWS cloud
  • Lead projects, collaborating with team members and serving as a mentor
  • Actively engage in team discussions on technology, architecture, and solutions for both new and existing projects  

 

What You Will Need

  • Bachelor’s degree, preferably in Computer Science or Computer Information Systems
  • 6+ years of software engineering experience
  • 5+ years of data engineering know-how with Apache Spark or Apache Flink
  • 4+ years of hands-on experience running software and services in the cloud
  • Skilled in working with DataFrame APIs (Pandas and Spark) for both parallel and single-node processing
  • Proficiency in using languages like Python, Scala, etc., with modern data file formats like Parquet and Avro
  • Proficiency in SQL for RDBMS and data warehouse solutions, such as Redshift
  • Hands-on experience with Data Lake technologies like Delta Lake and Iceberg
  • Experience in data acquisition from external APIs at a large scale and parallel processing
  • Practical experience supporting ML/AI projects, including deploying pipelines for computing features and using models for inference on large datasets

 

Why Us

Benefits and Perks:

  • Competitive Salary : $180,000 – $210,000 per Year
  • Full Health, Vision, and Dental Coverage   

     

Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.

This position does not offer sponsorship.

 

#LI-BA1

REF: JOB-4265


    • Job type: Permanent
    • Location: Los Angeles, CA
    • Date posted:
    • Salary:$180000 - $210000 per Year