One of our Fortune 100 clients in Mountain View, CA is urgently looking for a Sr. Big Data Engineer.

Title: Data Engineer

Location: Mountain View, CA (Fri- Remote)

Hourly: $80 per hour (W2)

Duration: 1 year (Contract-to-Hire)

Must-to-Have Skills:

• Minimum 7-8 years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Should have strong command over Big data tools: Spark, Kafka, HBase, Hive, Impala, Presto etc.
• Experience with relational SQL and NoSQL databases
• Experience with AWS/Google Cloud Platform cloud services: EC2, EMR, RDS, Redshift, Presto, Bigquery, Composer, Dataproc
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Scala, Shell Scripting etc.

Scope:

1. We are looking for a Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams
2. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoy optimizing data systems and building them from the ground up
3. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products

Responsibilities:

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/Google Cloud Platform big data technologies
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Work with data and analytics experts to strive for greater functionality in our data systems