AWS Redshift & Matillion - NYC

Position: AWS Redshift & Matillion - NYC
Location: New York, United States
Remuneration: $ 95.00 per hour
Who is hiring?

As a Data Engineer at this company, you’ll work in small teams to deliver innovative solutions using core cloud data warehouse tools and Spark, Event Stream platforms, and other Big Data related technologies. In addition to building the next generation of data platforms, you’ll be working with some of the most forward-thinking organizations in data and analytics.

What will you be doing?
• Work as part of a team to develop ETL and ELT code in Matillion OR Python, Spark and PySpark for real-time data streaming
• Participate in the development of cloud data warehouses and business intelligence solutions
• Data wrangling of heterogeneous data and explore and discover new insights
• Hands-on experience with new data platforms and programming languages (e.g. Python, Matillion, Hive, Spark)
  • Related work experience in Data Engineering or Data Warehousing
  • Proven experience with data warehousing, data ingestion, and data profiling
  • Experience within an AWS Redshift environment and the ability to integrate data into Redshift or Snowflake.
  • Proficient in Matillion OR Python and Spark
  • Strong aptitude for learning new technologies and analytics techniques
  • Highly self-motivated and able to work independently as well as in a team environment
  • Understanding of agile project approaches and methodologies
  • Optimizing the performance of business-critical queries and dealing with ETL job-related issues
  • Building and migrating the complex ETL pipelines from Talend to redshift
  • Extracting and combining data from various heterogeneous data sources
  • Experience using Apache Spark
  • Familiarity with streaming data ingestion
  • Consulting experience
  • Bachelor’s degree in Computer Science or a closely related field required


Why you shouldn’t miss this opportunity?
Consulting Opportunities all over the world, Onsite and Remote flexibility 
Data Science(Data Engineer), Python, Spark, Amazon Redshift

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We're always looking for high skilled professionals.