Data Engineer @ Buxton - Los Angeles, CA

Data Engineer

6 days ago
  • 5 – 10 years of recent experience in data engineering.
· Experience on AWS and its web service offering S3, Redshift, EC2, EMR, Lambda, CloudWatch, RDS, Step functions, Spark streaming etc.
· Good knowledge of Configuring and working on Multi node clusters and distributed data processing framework Spark.
· Hands on 3 years of experience with EMR Apache Spark Hadoop technologies
· Experience with must have Python and PySpark, Spark SQL.
· Experience in working with large volumes of data Tera-bytes, analyze the data structures
· Experience in designing scalable data pipelines, complex event processing, analytics components using big data technology Spark, Python, Scala, PySpark,
· Expert in SQL, redshift, NoSQL database
· Experience in process orchestration tools Apache Airflow, Apache NiFi etc.
· Experience in any BI technology Tableau, Power BI, etc.
· Hands on knowledge of design, development and enhancement of Data Lakes, constantly evolve with emerging tools and technologies
Job Types: Full-time, Contract
  • 8 hour shift
  • Bachelor's (Preferred)
  • Data Engineer: 7 years (Preferred)
  • Data Warehouse: 3 years (Preferred)
Work Location:
  • One location
Work Remotely: